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Paper Citation Record · LEDGER

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.08199.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.08199 v1

Coverage vector

measured 41 of 41 reference resolution

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measured 41 of 41 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation f5cf57af-0899-4593-a41e-6ba1cdf8ecb9 · outbound

This paper cites Some referents and measures of nonverbal behavior,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Some referents and measures of nonverbal behavior,

Reference 1

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Observation bddd37fa-9ebb-4053-9e51-8453b57c31dd · outbound

This paper cites Ai and robotics to help older adults: Revisiting projects in search of lessons learned,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Ai and robotics to help older adults: Revisiting projects in search of lessons learned,

Reference 2

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Source-reported events for the cited work

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Observation b48c7ca7-66ac-476b-803a-e39897353d68 · outbound

This paper cites Raspberry pi assisted facial expression recognition framework for smart security in law-enforcement services,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Raspberry pi assisted facial expression recognition framework for smart security in law-enforcement services,

Reference 3

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Source-reported events for the cited work

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Observation e45f8b9e-aad1-4242-b76a-08dce107240b · outbound

This paper cites Driver’s facial expression recognition in real- time for safe driving,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Driver’s facial expression recognition in real- time for safe driving,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

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Observation 509e05bf-4304-4d98-aed9-30c1cae2b04f · outbound

This paper cites Recognition of facial expressions based on salient geometric features and support vector machines,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Recognition of facial expressions based on salient geometric features and support vector machines,

Reference 5

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Source-reported events for the cited work

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Observation 1be5a810-d7fc-4914-913f-992b109435b6 · outbound

This paper cites Facial expression recognition in image sequences using geometric deformation features and support vector machines,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Facial expression recognition in image sequences using geometric deformation features and support vector machines,

Reference 6

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Source-reported events for the cited work

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Observation 79474d20-da65-449e-9db8-fff466abed1e · outbound

This paper cites Facial expression recognition based on local binary patterns: A comprehensive study,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Facial expression recognition based on local binary patterns: A comprehensive study,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b4cf7edb-9940-4dc1-9aa9-54b0cfdebb5c · outbound

This paper cites Facial expression recognition based on facial components detection and hog features,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Facial expression recognition based on facial components detection and hog features,

Reference 8

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Source-reported events for the cited work

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Observation 7d1afe2c-5e38-421f-aed2-539dee37e699 · outbound

This paper cites A convnet for the 2020s,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition A convnet for the 2020s,

Reference 9

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Source-reported events for the cited work

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Observation 5ff20773-8071-473f-8b0f-eac21c522919 · outbound

This paper cites Spatial transformer networks,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Spatial transformer networks,

Reference 10

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Observation e8d0e541-8c54-4599-9072-08aa2e4c16af · outbound

This paper cites Squeeze-and-excitation networks,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Squeeze-and-excitation networks,

Reference 11

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Observation 84522df7-6e2a-4234-8fdb-006f3fe37a3b · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Generalized cross entropy loss for training deep neural networks with noisy labels,

Reference 12

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Observation 6d5b7bef-ee61-45aa-bec4-e087b972281c · outbound

This paper cites Chal- lenges in representation learning: A report on three machine learning contests,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Chal- lenges in representation learning: A report on three machine learning contests,

Reference 13

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Source-reported events for the cited work

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Observation 1c1c1b3f-90c8-4161-8ec8-8d1b090f116a · outbound

This paper cites Local learning with deep and handcrafted features for facial expression recognition,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Local learning with deep and handcrafted features for facial expression recognition,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ae806410-8f93-4585-ac53-e0257a23da23 · outbound

This paper cites Local multi-head channel self- attention for facial expression recognition,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Local multi-head channel self- attention for facial expression recognition,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a311bfe1-d2d2-4670-875f-04724f93d318 · outbound

This paper cites Ad-corre: Adaptive correlation-based loss for facial expression recognition in the wild,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Ad-corre: Adaptive correlation-based loss for facial expression recognition in the wild,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ebbcd55-1d68-4e3d-bfdc-0bd5138a17f8 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Xception: Deep learning with depthwise separable convolu- tions,

Reference 17

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Observation 24f9f95c-7cfa-4706-967b-4632bde3955e · outbound

This paper cites Deep residual learning for image recognition,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Deep residual learning for image recognition,

Reference 18

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Observation e05bdee7-bae7-4b50-a1fb-63566fa9adf3 · outbound

This paper cites A novel facial emotion recognition model using segmentation vgg-19 architecture,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition A novel facial emotion recognition model using segmentation vgg-19 architecture,

Reference 19

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Source-reported events for the cited work

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Observation 248c3e3d-0b70-4e3e-ae75-31353afe8bb8 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition U-net: Convolutional networks for biomedical image segmentation,

Reference 20

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Observation 2e6a17c2-cc56-457f-86d4-f0816946a672 · outbound

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EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Unresolved cited work

Reference 21

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Observation 036d7d13-3c51-4308-81df-feda252d73b8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

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Observation f15d8b1d-3e22-42af-bbcc-8e0e9d703d14 · outbound

This paper cites A deep-learning-based facial expression recognition method using textural features,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition A deep-learning-based facial expression recognition method using textural features,

Reference 23

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Source-reported events for the cited work

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Observation 5f8e3628-4af9-4e8d-8633-e9c447ffb7de · outbound

This paper cites Role of zoning in facial expression using deep learning,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Role of zoning in facial expression using deep learning,

Reference 24

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Source-reported events for the cited work

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Observation 2e4e453e-e393-4414-bb65-296ffc33198b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 25

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Observation b437444b-927e-4e37-9b2d-ffbbbef244d6 · outbound

This paper cites Rectified linear units improve restricted boltz- mann machines,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Rectified linear units improve restricted boltz- mann machines,

Reference 26

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Observation 6b01ab73-dcb2-4ea2-9770-afec7c54a50a · outbound

This paper cites Gaussian Error Linear Units (GELUs).

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Gaussian Error Linear Units (GELUs)

Reference 27

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Observation dda38e1a-0a24-452b-a12b-c47331de232b · outbound

This paper cites Batch renormalization: Towards reducing minibatch depen- dence in batch-normalized models,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Batch renormalization: Towards reducing minibatch depen- dence in batch-normalized models,

Reference 28

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Observation 77198184-2d56-4ced-a607-3482b4a6139b · outbound

This paper cites Layer Normalization.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Layer Normalization

Reference 29

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Observation b759fb22-ef4a-4d22-ae19-b7f6258befe9 · outbound

This paper cites Attention is all you need,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Attention is all you need,

Reference 30

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Observation 20514b19-ce37-4c6a-b258-404a95da24e1 · outbound

This paper cites Decoupled Weight Decay Regularization.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Decoupled Weight Decay Regularization

Reference 31

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Observation 8d3893ba-b391-45a4-9784-9335cb1a362f · outbound

This paper cites Deep networks with stochastic depth,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Deep networks with stochastic depth,

Reference 32

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Observation 62e518ae-9ddd-4f31-b5cb-4fdf1152bc4c · outbound

This paper cites Rethinking the inception architecture for computer vision,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Rethinking the inception architecture for computer vision,

Reference 33

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Observation 6ed3bbd4-39ce-433c-99b7-72da44451d3e · outbound

This paper cites Acceleration of stochastic approxima- tion by averaging,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Acceleration of stochastic approxima- tion by averaging,

Reference 34

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Observation 1e7d4a6b-a81e-4c72-95d7-d47f8e398be7 · outbound

This paper cites Mixed Precision Training.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Mixed Precision Training

Reference 35

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Observation 22973ed1-c1e1-4620-9147-630dd40c2781 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Imagenet large scale visual recognition challenge,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:53.388949Z digest=sha256:8fed24b97eb011406f554c554f3e265ce275158e388444ed4c54de6c1fda5fc7

Observation f2a6b31c-7efb-4a36-af55-d9c695d0b99f · outbound

This paper cites Deep learning approaches for facial emotion recognition: A case study on fer-2013,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Deep learning approaches for facial emotion recognition: A case study on fer-2013,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:53.567891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f1f30a97-4903-4142-9789-485a8d255d81 · outbound

This paper cites Deep-emotion: Facial ex- pression recognition using attentional convolutional network,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Deep-emotion: Facial ex- pression recognition using attentional convolutional network,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:53.555316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:53.395417Z digest=sha256:95b27d183ebb81f3a652f2339d0d4b517748c40eb8bf8cb72f9e2bb277e244bb

Observation 982ba0ff-f4d0-4359-b40b-b8e57556ede4 · outbound

This paper cites Facial Emotion Recognition: State of the Art Performance on FER2013.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Facial Emotion Recognition: State of the Art Performance on FER2013

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T20:31:53.398632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:31:53.398632Z digest=sha256:2b391383715c11e2952aa35c38f28e1f078004727f5f13fbd860a77dd402a593

Observation 1be7d27f-f6bd-4660-b82f-d5c12f227f5e · outbound

This paper cites Facial Expression Recognition with Deep Learning.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Facial Expression Recognition with Deep Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:31:53.444237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:31:53.402404Z digest=sha256:5e6eae6cefd09798f99bbdb1881a8c333f723edd7bf21544845a105a19cc608a

Observation 7fd9dcf9-20a5-4b9c-a02e-9faa8f04daf0 · outbound

This paper cites Facial expression recognition using residual masking network,.

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Facial expression recognition using residual masking network,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:31:53.542599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.