Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications | Paper Citation Record

Observation 46492ad6-9cb4-4167-9e77-b5fb346edbf1 · outbound

This paper cites Sustainability of Europe’s mobility sys- tems,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Sustainability of Europe’s mobility sys- tems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bba9140-13a5-43a8-a7a8-e249e132e805 · outbound

This paper cites an unresolved cited work.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef8b7f5-6c20-4dd8-96a7-b8df1bf16244 · outbound

This paper cites Europe’s Air Quality Status 2024,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Europe’s Air Quality Status 2024,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1835f2e7-f3da-4678-99a5-395a931ff28c · outbound

This paper cites Computational fluid dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simu- lations,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Computational fluid dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simu- lations,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26574fe-e773-4985-a0fd-5f41474a43b6 · outbound

This paper cites Ten questions concerning modeling of near-field pollutant dispersion in the built environment,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Ten questions concerning modeling of near-field pollutant dispersion in the built environment,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6dc4f17-7152-4bbb-a1f2-eb2850f5fb77 · outbound

This paper cites Particle image velocimetry for combustion measurements: Applications and developments,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Particle image velocimetry for combustion measurements: Applications and developments,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d76632b0-6f8c-48bc-867a-2462567d0d15 · outbound

This paper cites Multiscale proper ortho- gonal decomposition (mpod) of tr-piv data—a case study on stationary and transient cylinder wake flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Multiscale proper ortho- gonal decomposition (mpod) of tr-piv data—a case study on stationary and transient cylinder wake flows,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6a7ca1-bc5d-4b1f-a046-94e9da175dff · outbound

This paper cites Importance of the nozzle-exit boundary-layer state in subsonic turbulent jets,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Importance of the nozzle-exit boundary-layer state in subsonic turbulent jets,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 318485f6-31d5-44f5-b99e-0cef1e4ea583 · outbound

This paper cites Direct numerical simulation of non-premixed turbulent flames,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Direct numerical simulation of non-premixed turbulent flames,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82c4456f-c6db-4d44-a2ad-d911d5079273 · outbound

This paper cites Spatio-temporal flow structures in the three-dimensional wake of a circular cylinder,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Spatio-temporal flow structures in the three-dimensional wake of a circular cylinder,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f67e8e1-856d-4446-ab68-99a0b4ab03eb · outbound

This paper cites Singular value decomposition and least squares solu- tions,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Singular value decomposition and least squares solu- tions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1365e739-5c4e-4bb8-b032-9423bfe23a87 · outbound

This paper cites The structure of inhomogeneous turbulent flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications The structure of inhomogeneous turbulent flows,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70aabb11-5a90-4424-959b-ac0915322bc7 · outbound

This paper cites The proper orthogonal decomposition in the analysis of turbulent flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications The proper orthogonal decomposition in the analysis of turbulent flows,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5f1538-a7fa-4231-a52c-a6d766a03f25 · outbound

This paper cites Holmes,Turbulence, coherent structures, dynamical systems and symmetry.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Holmes,Turbulence, coherent structures, dynamical systems and symmetry

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff036e31-6f55-46d4-975e-1b05356cdeb9 · outbound

This paper cites A predictive hybrid reduced order model based on proper ortho- gonal decomposition combined with deep learning architectures,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A predictive hybrid reduced order model based on proper ortho- gonal decomposition combined with deep learning architectures,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9cda40e-a348-40f1-ac74-5de1ff679c3d · outbound

This paper cites Proper orthogonal decomposition of large-eddy simulation data over real urban morphology,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Proper orthogonal decomposition of large-eddy simulation data over real urban morphology,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49faa1c6-ba79-41bd-94a5-354daeb0939f · outbound

This paper cites Non-intrusive reduced order model of urban airflow with dynamic boundary conditions,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Non-intrusive reduced order model of urban airflow with dynamic boundary conditions,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b672650-f359-4f08-9cf5-ec37fe3c5be6 · outbound

This paper cites A reduced order model for turbulent flows in the urban environment using machine learning,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A reduced order model for turbulent flows in the urban environment using machine learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 448027b5-780c-40c0-aa8d-dbb423b193af · outbound

This paper cites Dynamic mode decomposition of numerical and experimental data,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Dynamic mode decomposition of numerical and experimental data,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfc7e2e-23ca-4504-8f70-5dfda3174a61 · outbound

This paper cites Reduced-order modelling of urban wind environment and gaseous pollutants dispersion in an urban-scale street canyon,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Reduced-order modelling of urban wind environment and gaseous pollutants dispersion in an urban-scale street canyon,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c01c77-af70-4c15-97b4-7a6fee1657da · outbound

This paper cites Stable reduced-order models for pollutant dispersion in the built environment,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Stable reduced-order models for pollutant dispersion in the built environment,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a2eb6c2-47ad-4c07-a996-f7506838971b · outbound

This paper cites Llm-rom: A novel framework for efficient spatiotem- poral prediction of urban pollutant dispersion,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Llm-rom: A novel framework for efficient spatiotem- poral prediction of urban pollutant dispersion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5b0677-6c1a-4d06-aef9-08fb90794c4c · outbound

This paper cites A review of advances towards effi- cient reduced-order models (rom) for predicting urban airflow and pollutant disper- sion,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A review of advances towards effi- cient reduced-order models (rom) for predicting urban airflow and pollutant disper- sion,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab904dd-2792-4df2-8a72-26aa9c202854 · outbound

This paper cites A multilinear singular value decomposition,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A multilinear singular value decomposition,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55aedfb2-b605-4594-bd96-bd87a8c6f97c · outbound

This paper cites On the best rank-1 and rank-(r 1, r 2,..., rn) approximation of higher-order tensors,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications On the best rank-1 and rank-(r 1, r 2,..., rn) approximation of higher-order tensors,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6a4952-00f8-4453-94a3-2ece2d62c34d · outbound

This paper cites Tensor decompositions and applications,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Tensor decompositions and applications,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c481f7d-d580-407e-826e-405c8f22794f · outbound

This paper cites Higher order dynamic mode decomposition,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Higher order dynamic mode decomposition,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04213abf-6e4e-471c-90bb-992ce9f246b7 · outbound

This paper cites Low-cost singular value decomposition with optimal sensor placement,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Low-cost singular value decomposition with optimal sensor placement,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b85c39-2ee5-4d84-93fc-e3e8024a3884 · outbound

This paper cites Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a6e789-6b7c-4ea8-8471-6e50de1d2151 · outbound

This paper cites PySensors: A Python Package for Sparse Sensor Placement.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications PySensors: A Python Package for Sparse Sensor Placement

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.956046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 45df56e5-cbbc-4f8d-93b6-b5433810db81 · outbound

This paper cites A hierarchical machine learning framework for real-time reconstruction of urban wind fields from sparse sensor networks,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A hierarchical machine learning framework for real-time reconstruction of urban wind fields from sparse sensor networks,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f4dd74-6182-4929-8ef6-aad53c951fb4 · outbound

This paper cites Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.954429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 19ff7162-6e26-470a-b028-482cd03ea8ff · outbound

This paper cites A low-cost singular value decomposition-based data assimilation technique for analysis of heterogeneous combustion data,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A low-cost singular value decomposition-based data assimilation technique for analysis of heterogeneous combustion data,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c8743f6-7627-4f96-b2d2-cc92a06aaab5 · outbound

This paper cites Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.953372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f36ec812-ac67-4b4d-b287-07d4ca910505 · outbound

This paper cites Modelflows-app: Data-drivenpost- processing and reduced order modelling tools,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Modelflows-app: Data-drivenpost- processing and reduced order modelling tools,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dacdc536-d476-4ae2-8201-f9ed56f7aba0 · outbound

This paper cites Normalization: A Preprocessing Stage.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Normalization: A Preprocessing Stage

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T16:39:57.951639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 35ada485-997c-40f5-8705-d5e93eb9234b · outbound

This paper cites Eddies, streams, and convergence zones in turbulent flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Eddies, streams, and convergence zones in turbulent flows,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dad16000-8a40-4c93-9e79-f982c6ecc2cd · outbound

This paper cites Large-scale cfd analysis of urban airflow and pollutant transport over a 24-hour period with pod analysis: The vallecas district (madrid) case study,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Large-scale cfd analysis of urban airflow and pollutant transport over a 24-hour period with pod analysis: The vallecas district (madrid) case study,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba69fd73-537e-4b91-a2a1-fd76f91088b9 · outbound

This paper cites La gran transformación dentro de Vallecas: de zona degradada a nuevo barrio con 1.400 viviendas y una residencia de estudiantes.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications La gran transformación dentro de Vallecas: de zona degradada a nuevo barrio con 1.400 viviendas y una residencia de estudiantes

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.957348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1e991384-7098-46da-91bd-f5903b526a85 · outbound

This paper cites Towards automatic reconstruction of 3d city models tailored for urban flow simulations,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Towards automatic reconstruction of 3d city models tailored for urban flow simulations,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf02f0a-e59c-4544-8bfd-efcff291d24c · outbound

This paper cites Geoportal – red de vigilancia de la calidad del aire.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Geoportal – red de vigilancia de la calidad del aire

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f097985-6c2f-404c-accc-2871348970a1 · outbound

This paper cites A tensorial approach to computa- tional continuum mechanics using object-oriented techniques,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A tensorial approach to computa- tional continuum mechanics using object-oriented techniques,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b873f24-a7d2-4b17-afdf-b16a2af90fbc · outbound

This paper cites A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a412e11-a13f-47df-a643-cdb360f6317e · outbound

This paper cites The numerical computation of turbulent flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications The numerical computation of turbulent flows,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c40eee-57e5-4607-ae68-305ce8547c9a · outbound

This paper cites On the use of the k–εmodel in commercial cfd soft- ware to model the neutral atmospheric boundary layer,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications On the use of the k–εmodel in commercial cfd soft- ware to model the neutral atmospheric boundary layer,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba512d16-0e10-45d4-94c7-b4d099ea9c70 · outbound

This paper cites A comprehensive modelling approach for the neutral atmospheric boundary layer: consistent inflow conditions, wall function and turbulence model,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications A comprehensive modelling approach for the neutral atmospheric boundary layer: consistent inflow conditions, wall function and turbulence model,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c56564-f893-40ab-9e25-33da03a85fd7 · outbound

This paper cites EMEP/EEA air pollutant emission inventory guidebook 2023,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications EMEP/EEA air pollutant emission inventory guidebook 2023,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528536ee-4b9b-47a3-a85d-d5c35f601310 · outbound

This paper cites Scipy 1.0: fundamental al- gorithms for scientific computing in python,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Scipy 1.0: fundamental al- gorithms for scientific computing in python,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5488f977-4450-4715-8209-9b0def5dd506 · outbound

This paper cites Data-driven assessment of arch vortices in simplified urban flows,.

Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Data-driven assessment of arch vortices in simplified urban flows,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-26T00:20:48.560778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers