Leveraging GNN to Enhance MEF Method in Predicting ENSO | Paper Citation Record

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

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This paper cites 2010, Impact of ENSO on European Climate ECMWF Seminar on Predictability in the European and Atlantic regions, ECMWF conference, Shinfield Park, Reading.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 2010, Impact of ENSO on European Climate ECMWF Seminar on Predictability in the European and Atlantic regions, ECMWF conference, Shinfield Park, Reading

Reference 2

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This paper cites et al., 2019, Changing climate both increases and decreases European river floods.

Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2019, Changing climate both increases and decreases European river floods

Reference 3

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This paper cites J., Zebiak, S.

Leveraging GNN to Enhance MEF Method in Predicting ENSO J., Zebiak, S

Reference 4

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This paper cites & Zhang, R.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Zhang, R

Reference 6

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This paper cites H., Kug, J.

Leveraging GNN to Enhance MEF Method in Predicting ENSO H., Kug, J

Reference 7

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

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Observation 48bd79d8-7a44-4736-b544-59f2941db0be · outbound

This paper cites https://doi.org/10.1029/2023GL108013.

Leveraging GNN to Enhance MEF Method in Predicting ENSO https://doi.org/10.1029/2023GL108013

Reference 10

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.666184Z

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Observation 349a7202-1735-4d6d-b86f-2197b35b1a78 · outbound

This paper cites & Xu, YP.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Xu, YP

Reference 11

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 12

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 13

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Observation 15089dab-8b6f-4478-a5ff-c5a3360b3f15 · outbound

This paper cites A Non-stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model.

Leveraging GNN to Enhance MEF Method in Predicting ENSO A Non-stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model

Reference 14

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Observation 24fa59a4-bebd-4f80-b161-e4aeef4ee137 · outbound

This paper cites et al., 2010, Influence of the state of the Indian Ocean Dipole on the following year’s El Niño.

Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2010, Influence of the state of the Indian Ocean Dipole on the following year’s El Niño

Reference 15

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

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This paper cites J., Wallace, J.

Leveraging GNN to Enhance MEF Method in Predicting ENSO J., Wallace, J

Reference 17

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This paper cites et al., 2007, Pacific meridional mode and El Niño—Southern Oscillation.

Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2007, Pacific meridional mode and El Niño—Southern Oscillation

Reference 18

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 21

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 22

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 23

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 24

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Observation 6c9037a1-bab9-4c35-960e-f264092cf752 · outbound

This paper cites Long Lead ENSO Forecast Using an Adaptive Graph Convolutional Recurrent Neural Network.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Long Lead ENSO Forecast Using an Adaptive Graph Convolutional Recurrent Neural Network

Reference 25

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Observation 5200a088-389b-4572-813d-9f3607f25943 · outbound

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 26

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Observation af6f8f07-96fc-436a-bb77-67318b73d2c8 · outbound

This paper cites & Luo, J.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Luo, J

Reference 27

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Observation 4cc5402c-a0a0-4dba-bcbe-54b2ff4c649b · outbound

This paper cites Transfer learning for streamflow forecasting using unguaged MOPEX basins data set.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Transfer learning for streamflow forecasting using unguaged MOPEX basins data set

Reference 28

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Observation f49d9646-89f3-4434-80d6-d1fb5d79f5d3 · outbound

This paper cites Kim, ES., On, KW., Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data, Science Bulletin, 66, 13, 1358-1366, (2021).

Leveraging GNN to Enhance MEF Method in Predicting ENSO Kim, ES., On, KW., Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data, Science Bulletin, 66, 13, 1358-1366, (2021)

Reference 29

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.511078Z

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Observation c8f51fbc-69f4-421b-b0cf-d92fee91b6bd · outbound

This paper cites A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses.

Leveraging GNN to Enhance MEF Method in Predicting ENSO A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses

Reference 31

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 32

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 33

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 34

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This paper cites ENSO prediction,.

Leveraging GNN to Enhance MEF Method in Predicting ENSO ENSO prediction,

Reference 35

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.465949Z

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Observation 9e606802-7be4-4ed5-b2be-dd2c2be69870 · outbound

This paper cites Y., et al., (2021).

Leveraging GNN to Enhance MEF Method in Predicting ENSO Y., et al., (2021)

Reference 36

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Observation b1df8a94-a064-4fbc-9bc4-a63ef94401dc · outbound

This paper cites Natural climate variability and future climate policy.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Natural climate variability and future climate policy

Reference 37

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.436604Z

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Observation 0ae64b6c-4ef2-4517-acd3-a439a062fe76 · outbound

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

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Observation b302e863-5873-4112-b956-dd2dc0ef9dba · outbound

This paper cites & McPhaden, M.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & McPhaden, M

Reference 39

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 40

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.395121Z

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Observation 2d8502c5-46e6-43e9-a46d-3c18eb142591 · outbound

This paper cites & Sivic, J., 2014, Learning and transferring mid-level image representations using convolutional neural networks.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Sivic, J., 2014, Learning and transferring mid-level image representations using convolutional neural networks

Reference 42

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Observation 49e78ee1-b779-4ba9-a060-9b2a2864008f · outbound

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 43

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Observation 1ef7ee76-6756-4658-b210-ee3235d93a7d · outbound

This paper cites 2022, RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 2022, RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.353605Z

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This paper cites 2010, Understanding the difficulty of training deep feedforward neural networks.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 2010, Understanding the difficulty of training deep feedforward neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.339536Z

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Observation 6b1f6347-6b6e-4397-8773-759389c22464 · outbound

This paper cites 5998- 6008.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 5998- 6008

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.325258Z

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Observation bdece045-2e5c-434f-9092-1c46fb5c5423 · outbound

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 47

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Observation c09f2a65-7d6a-4afc-9ba1-0282299da83e · outbound

This paper cites 1572-1583.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 1572-1583

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.297909Z

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 49

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Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.284305Z

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Observation 2398c6be-705e-4753-9981-fa5b3efdb600 · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.270586Z

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Observation dc743930-075f-4e1c-94fc-047a6866e4a1 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.257449Z

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Observation 8350c41f-502e-47d4-a1de-a8192d8f2254 · outbound

This paper cites Generative Adversarial Networks.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Generative Adversarial Networks

Reference 53

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Observation 8ad28712-6fac-426b-93b9-871c76af657d · outbound

This paper cites Improved Techniques for Training GANs.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Improved Techniques for Training GANs

Reference 54

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Observation efc658ca-8f21-474e-8b6f-96385e7e0ad7 · outbound

This paper cites Computer Vision and Pattern Recognition.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Computer Vision and Pattern Recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.242412Z

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Observation e917e4b4-2e1b-4f89-b46e-0e72bad11d53 · outbound

This paper cites Generative Adversarial Imitation Learning.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Generative Adversarial Imitation Learning

Reference 56

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Observation fc4abefe-fd6a-476d-9896-5bd40dc42e84 · outbound

This paper cites Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.227873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7567ab20-8eeb-4ac5-971f-5a07237a8e54 · outbound

This paper cites CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks.

Leveraging GNN to Enhance MEF Method in Predicting ENSO CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.851413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8943e1bd-9779-4ff9-810e-2662739680e9 · outbound

This paper cites Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.856489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f648d064-0082-4df8-a8ee-c546f15e1bb0 · outbound

This paper cites Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.861190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71277ab-33f0-4fc8-97f8-271f47f7cd72 · outbound

This paper cites IEEE 14th International Conference on e-Science, pp.

Leveraging GNN to Enhance MEF Method in Predicting ENSO IEEE 14th International Conference on e-Science, pp

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.212188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b33086df-bc6e-4fd8-9401-bb3be94047ac · outbound

This paper cites Semantic Segmentation using Adversarial Networks.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Semantic Segmentation using Adversarial Networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.870181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1fc19b2-f4e8-4e7f-b4a1-3977982a85b0 · outbound

This paper cites 2016, Generative Models, OpenAI.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 2016, Generative Models, OpenAI

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.198064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abac30d5-9614-4184-9d31-d79704911b15 · outbound

This paper cites Learning in Implicit Generative Models.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Learning in Implicit Generative Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.879318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88a336c4-577d-49d1-950a-5fa70dcf2ab3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Leveraging GNN to Enhance MEF Method in Predicting ENSO BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.883600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8013b3e0-8aa2-49c2-b0c5-e5dfe314b2eb · outbound

This paper cites Incorporating uncertainty in the design of water distribution systems.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Incorporating uncertainty in the design of water distribution systems

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.183274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7c14736-6d64-44d2-96a5-14bdcd931c21 · outbound

This paper cites E., Gneiting, T., & Kitsui, K.

Leveraging GNN to Enhance MEF Method in Predicting ENSO E., Gneiting, T., & Kitsui, K

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.169228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1156fbc-765f-4235-86d3-21f1faf16bbd · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Leveraging GNN to Enhance MEF Method in Predicting ENSO TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:02.897886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed6098f-c20c-4d49-a35a-6d78ce6a34f0 · outbound

This paper cites et al., 2019, Quantum supremacy using a programmable superconducting processor.

Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2019, Quantum supremacy using a programmable superconducting processor

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.155962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d36d9be6-46a3-45e4-81e6-513bc028ab0a · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 70

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T22:12:03.274968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf2c1529-c067-4377-9b39-510539ff82d5 · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 71

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.259260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f994a80b-c495-47f0-8d1b-855e902664de · outbound

This paper cites Calibration and Uncertainty Analysis for Isovel Contours-based Stage-discharge Rating Curve by Sequential Uncertainty Fitting (SUFI -2) Method.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Calibration and Uncertainty Analysis for Isovel Contours-based Stage-discharge Rating Curve by Sequential Uncertainty Fitting (SUFI -2) Method

Reference 72

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.246180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c22e54a5-e343-45b4-8c54-10eefa817a0e · outbound

This paper cites Uncertainty in the analysis of urban water supply and distribution systems.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Uncertainty in the analysis of urban water supply and distribution systems

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.141424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83b0e4a9-1d0c-4322-a11d-acad0a21ddb1 · outbound

This paper cites Uncertainty Analysis of River Water Quality Based on Stochastic Optimization of Waste Load Allocation Using the Generalized Likelihood Uncertainty Estimation Method.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Uncertainty Analysis of River Water Quality Based on Stochastic Optimization of Waste Load Allocation Using the Generalized Likelihood Uncertainty Estimation Method

Reference 74

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.232053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbd287b3-afe6-4644-9790-0d92158a0f8b · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 75

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.217797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cef815da-69fc-48ca-8346-a8e36e4177b1 · outbound

This paper cites 2016 Jun;22(6):839-51.

Leveraging GNN to Enhance MEF Method in Predicting ENSO 2016 Jun;22(6):839-51

Reference 76

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.204125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d72243d5-6f87-40ae-91bb-1a569573c879 · outbound

This paper cites Seasonal Uncertainty Estimation of Surface Nuclear Magnetic Resonance Water Content using Bootstrap Statistics.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Seasonal Uncertainty Estimation of Surface Nuclear Magnetic Resonance Water Content using Bootstrap Statistics

Reference 78

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T22:12:03.180638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56bfdc1b-577c-4760-9481-bfa16ef3754e · outbound

This paper cites & Chu, H.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Chu, H

Reference 79

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.165885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ddb58ed-8c69-4eb7-8c0e-01cea3c89974 · outbound

This paper cites & Jiang, Y.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Jiang, Y

Reference 80

Resolution: malformed identifier; no resolver link, observed 2026-08-05T22:12:02.949435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c24cc8-7596-40e2-a32c-3b5124a326cb · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 81

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.153192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61bd7148-a882-4731-afa8-ff5b56aa23ba · outbound

This paper cites Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting

Reference 82

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.140462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08f594a5-57a4-4c88-9cfe-d8794a676cf6 · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.126940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58ebd7f8-cde9-4615-a6a3-bf2ec3558d98 · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 84

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.125256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b153a62-7de4-47df-ad9c-1ef037124c46 · outbound

This paper cites & Memon, F.A.

Leveraging GNN to Enhance MEF Method in Predicting ENSO & Memon, F.A

Reference 85

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T22:12:03.111552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23644714-5611-4283-889d-9f9afcd8145d · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.112319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4ec0e0a-d9d4-4c83-9d0a-5c84ee908b7c · outbound

This paper cites Renwick, and A.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Renwick, and A

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.097805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9e4d598-a978-45bc-93b8-f366f6a054b4 · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.083763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 535b1323-6490-4772-830f-8d645a2dd490 · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.068680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4532d17a-8cec-4aa8-ba26-ad37fc17cecd · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:12:04.055263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1e3c1d4-9ed8-4f98-829e-3365b0b595a7 · outbound

This paper cites al., 2024, Climate-invariant machine learning, Science Advances, 10, 6.

Leveraging GNN to Enhance MEF Method in Predicting ENSO al., 2024, Climate-invariant machine learning, Science Advances, 10, 6

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.041473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f2f49823-7ea8-450a-8e15-10c53d380f1d · outbound

This paper cites an unresolved cited work.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:03.005479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee1525c-b8c3-4549-9418-365f5db2542a · outbound

This paper cites Multimodal Deep Learning for Two-Year ENSO Forecast.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Multimodal Deep Learning for Two-Year ENSO Forecast

Reference 94

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.087202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9901bae7-4717-4300-bbb8-39c8ece08de4 · outbound

This paper cites Toward long-range ENSO prediction with an explainable deep learning model.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Toward long-range ENSO prediction with an explainable deep learning model

Reference 95

Resolution: verified exact; doi, observed 2026-08-05T22:12:03.072383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c8cf4f6-8662-48e4-93fa-a5f6a815fb11 · outbound

This paper cites Novel Deep Learning Method for Forecasting ENSO.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Novel Deep Learning Method for Forecasting ENSO

Reference 96

Resolution: verified exact; raw_fallback, observed 2026-08-05T22:12:03.870421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e5ce67b-e66c-48e7-a9ca-ff295b6881ba · outbound

This paper cites Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T22:12:03.022082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60cdafe2-dba1-4707-8aed-61515fb1cd91 · outbound

This paper cites An error indicator for two-dimensional elasticity problems in the discrete least squares meshless method.

Leveraging GNN to Enhance MEF Method in Predicting ENSO An error indicator for two-dimensional elasticity problems in the discrete least squares meshless method

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.026841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c71c5a5-c212-4a84-a9dc-716c80daa9a3 · outbound

This paper cites Efficiency Test of the Discrete Least Squares Meshless Method in Solving Heat Conduction Problems Using Error Estimation.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Efficiency Test of the Discrete Least Squares Meshless Method in Solving Heat Conduction Problems Using Error Estimation

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:12:04.011158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0db05c58-cbe5-4c6d-8634-f14ef3801c21 · outbound

This paper cites Entropic learning enables skilful forecasts of ENSO phase at up to two years lead time.

Leveraging GNN to Enhance MEF Method in Predicting ENSO Entropic learning enables skilful forecasts of ENSO phase at up to two years lead time

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:12:03.684968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers