Research graph
References from Reliable Spatiotemporal Traffic Data Reconstruction for Intelligent Transportation Systems: An Adaptive Reweighted Triple Tensor Decomposition Framework. Local targets link to admitted publications; unresolved targets remain external evidence.
Preference for electric vehicles among young adults: A discrete choice analysis in China
10.1016/j.tranpol.2025.103872 · 2026 · External reference
Identifying urban functional regions: A multi-dimensional framework approach integrating metro smart card data and car-hailing data
2025 · External reference
10.3390/systems14020190
10.3390/systems14020190 · External reference
10.3390/systems14050537
10.3390/systems14050537 · External reference
When and where to go next: Deep learning framework for modeling drivers’ behaviors using automatic vehicle identification data
10.1177/03611981221074372 · 2022 · External reference
Designing a novel two-stage fusion framework to predict short-term origin–destination flow
10.1061/jtepbs.teeng-7573 · 2023 · External reference
Integrating crowding and safety in the analysis of cyclists’ route preferences: Insights from a hybrid choice model
10.1080/19427867.2025.2606311 · 2026 · External reference
Reframing the holiday peak: Structural reconfiguration and shifting mechanisms of intercity mobility networks in China
10.1016/j.jtrangeo.2025.104501 · 2026 · External reference
10.3390/systems14010061
10.3390/systems14010061 · External reference
10.3390/systems14040399
10.3390/systems14040399 · External reference
10.3390/systems14050535
10.3390/systems14050535 · External reference
Data fusion in intelligent transportation systems: Progress and challenges—A survey
10.1016/j.inffus.2010.06.001 · 2011 · External reference
Missing data imputation for traffic flow speed using spatiotemporal cokriging
10.1016/j.trc.2018.01.015 · 2018 · External reference
A spatiotemporal approach for traffic data imputation with complicated missing patterns
10.1016/j.trc.2020.102730 · 2020 · External reference
Physics-informed deep learning framework for urban traffic network state data imputation
10.1177/03611981251356516 · 2026 · External reference
Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
10.1016/j.physa.2022.127079 · 2022 · External reference
An imputation method for missing traffic data based on FCM optimized by PSO-SVR
10.1155/2018/2935248 · 2018 · External reference
Methods for imputation of missing values in air quality data sets
10.1016/j.atmosenv.2004.02.026 · 2004 · External reference
Data-driven imputation method for traffic data in sectional units of road links
10.1109/tits.2016.2530312 · 2016 · External reference
Effect of missing values estimations on traffic parameters
10.1080/0308106042000218203 · 2004 · External reference
A multivariate technique for multiply imputing missing values using a sequence of regression models
2001 · External reference
On missing traffic data imputation based on fuzzy C-means method by considering spatial–temporal correlation
10.3141/2528-10 · 2015 · External reference
Unresolved reference
External reference
Car-following trajectory data imputation with adversarial convolutional neural network
10.1049/itr2.12319 · 2023 · External reference
Multiple imputation for continuous variables using a Bayesian principal component analysis
10.1080/00949655.2015.1104683 · 2016 · External reference
A functional data approach to missing value imputation and outlier detection for traffic flow data
2014 · External reference
Missing traffic data: Comparison of imputation methods
10.1049/iet-its.2013.0052 · 2014 · External reference
Tensor based missing traffic data completion with spatial-temporal correlation
10.1016/j.physa.2015.09.105 · 2016 · External reference
Multiple invariants and generalized rank of a p-way matrix or tensor
10.1002/sapm19287139 · 1928 · External reference
Foundations of the PARAFAC procedure: Models and conditions for an “explanatory” multi-modal factor analysis
1970 · External reference
Tensor decompositions and applications
10.1137/07070111x · 2009 · External reference
FCTN decomposition for tensor completion with factor double sparsity regularization
10.3934/era.2026255 · 2026 · External reference
Tensor ring decomposition with data-driven for color image completion
10.3934/era.2026023 · 2026 · External reference
Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition
10.1016/j.trc.2017.10.023 · 2018 · External reference
A tensor-based method for missing traffic data completion
10.1016/j.trc.2012.12.007 · 2013 · External reference
10.1109/cvpr.2019.00615
10.1109/cvpr.2019.00615 · External reference
Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM)
10.3934/era.2025040 · 2025 · External reference
A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation
10.1016/j.trc.2020.102673 · 2020 · External reference
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
10.1016/j.trc.2022.103737 · 2022 · External reference
Missing data detection and imputation for urban ANPR system using an iterative tensor decomposition approach
10.1016/j.trc.2019.08.013 · 2019 · External reference
A tensor train approach for internet traffic data completion
10.1007/s10479-021-04147-4 · 2024 · External reference
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
10.1016/j.trc.2018.11.003 · 2019 · External reference
Triple decomposition and tensor recovery of third order tensors
10.1137/20m1323266 · 2021 · External reference
T-product factorization based method for matrix and tensor completion problems
10.1007/s10589-022-00439-y · 2023 · External reference
Network traffic recovery from link-load measurements using tensor triple decomposition strategy for third-order traffic tensors
10.1016/j.cam.2024.115901 · 2024 · External reference
The generalized tensor decomposition with heterogeneous tensor product for third-order tensors
10.1007/s10915-024-02637-8 · 2024 · External reference
An extrapolation trust-region alternating least-squares algorithm for triple decomposition of third-order tensors
10.1007/s10479-025-06614-8 · 2025 · External reference
A Barzilai–Borwein gradient algorithm for spatio-temporal internet traffic data completion via tensor triple decomposition
10.1007/s10915-021-01574-0 · 2021 · External reference
Manifold regularization nonnegative triple decomposition of tensor sets for image compression and representation
10.1007/s10957-022-02001-6 · 2022 · External reference
Hypergraph regularized nonnegative triple decomposition for multiway data analysis
10.1038/s41598-024-59300-3 · 2024 · External reference
10.1109/iscit67082.2025.11231620
10.1109/iscit67082.2025.11231620 · External reference
Riemannian preconditioning algorithms for the low-rank tensor completion via the triple decomposition
10.1007/s10915-025-03158-8 · 2026 · External reference
Unresolved reference
External reference
Multiple invariants and generalized rank of a p-way matrix or tensor
10.1002/sapm19287139 · ExternalCitation · doi-reference
A tensor train approach for internet traffic data completion
10.1007/s10479-021-04147-4 · ExternalCitation · doi-reference
An extrapolation trust-region alternating least-squares algorithm for triple decomposition of third-order tensors
10.1007/s10479-025-06614-8 · ExternalCitation · doi-reference
T-product factorization based method for matrix and tensor completion problems
10.1007/s10589-022-00439-y · ExternalCitation · doi-reference
A Barzilai–Borwein gradient algorithm for spatio-temporal internet traffic data completion via tensor triple decomposition
10.1007/s10915-021-01574-0 · ExternalCitation · doi-reference
The generalized tensor decomposition with heterogeneous tensor product for third-order tensors
10.1007/s10915-024-02637-8 · ExternalCitation · doi-reference
Riemannian preconditioning algorithms for the low-rank tensor completion via the triple decomposition
10.1007/s10915-025-03158-8 · ExternalCitation · doi-reference
Manifold regularization nonnegative triple decomposition of tensor sets for image compression and representation
10.1007/s10957-022-02001-6 · ExternalCitation · doi-reference
Methods for imputation of missing values in air quality data sets
10.1016/j.atmosenv.2004.02.026 · ExternalCitation · doi-reference
Network traffic recovery from link-load measurements using tensor triple decomposition strategy for third-order traffic tensors
10.1016/j.cam.2024.115901 · ExternalCitation · doi-reference
Data fusion in intelligent transportation systems: Progress and challenges—A survey
10.1016/j.inffus.2010.06.001 · ExternalCitation · doi-reference
Reframing the holiday peak: Structural reconfiguration and shifting mechanisms of intercity mobility networks in China
10.1016/j.jtrangeo.2025.104501 · ExternalCitation · doi-reference
Tensor based missing traffic data completion with spatial-temporal correlation
10.1016/j.physa.2015.09.105 · ExternalCitation · doi-reference
Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
10.1016/j.physa.2022.127079 · ExternalCitation · doi-reference
Preference for electric vehicles among young adults: A discrete choice analysis in China
10.1016/j.tranpol.2025.103872 · ExternalCitation · doi-reference
A tensor-based method for missing traffic data completion
10.1016/j.trc.2012.12.007 · ExternalCitation · doi-reference
Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition
10.1016/j.trc.2017.10.023 · ExternalCitation · doi-reference
Missing data imputation for traffic flow speed using spatiotemporal cokriging
10.1016/j.trc.2018.01.015 · ExternalCitation · doi-reference
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
10.1016/j.trc.2018.11.003 · ExternalCitation · doi-reference
Missing data detection and imputation for urban ANPR system using an iterative tensor decomposition approach
10.1016/j.trc.2019.08.013 · ExternalCitation · doi-reference
A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation
10.1016/j.trc.2020.102673 · ExternalCitation · doi-reference
A spatiotemporal approach for traffic data imputation with complicated missing patterns
10.1016/j.trc.2020.102730 · ExternalCitation · doi-reference
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
10.1016/j.trc.2022.103737 · ExternalCitation · doi-reference
Hypergraph regularized nonnegative triple decomposition for multiway data analysis
10.1038/s41598-024-59300-3 · ExternalCitation · doi-reference
Missing traffic data: Comparison of imputation methods
10.1049/iet-its.2013.0052 · ExternalCitation · doi-reference
Car-following trajectory data imputation with adversarial convolutional neural network
10.1049/itr2.12319 · ExternalCitation · doi-reference
Designing a novel two-stage fusion framework to predict short-term origin–destination flow
10.1061/jtepbs.teeng-7573 · ExternalCitation · doi-reference
Multiple imputation for continuous variables using a Bayesian principal component analysis
10.1080/00949655.2015.1104683 · ExternalCitation · doi-reference
Effect of missing values estimations on traffic parameters
10.1080/0308106042000218203 · ExternalCitation · doi-reference
Integrating crowding and safety in the analysis of cyclists’ route preferences: Insights from a hybrid choice model
10.1080/19427867.2025.2606311 · ExternalCitation · doi-reference
10.1109/cvpr.2019.00615
10.1109/cvpr.2019.00615 · ExternalCitation · doi-reference
10.1109/iscit67082.2025.11231620
10.1109/iscit67082.2025.11231620 · ExternalCitation · doi-reference
Data-driven imputation method for traffic data in sectional units of road links
10.1109/tits.2016.2530312 · ExternalCitation · doi-reference
Tensor decompositions and applications
10.1137/07070111x · ExternalCitation · doi-reference
Triple decomposition and tensor recovery of third order tensors
10.1137/20m1323266 · ExternalCitation · doi-reference
An imputation method for missing traffic data based on FCM optimized by PSO-SVR
10.1155/2018/2935248 · ExternalCitation · doi-reference
When and where to go next: Deep learning framework for modeling drivers’ behaviors using automatic vehicle identification data
10.1177/03611981221074372 · ExternalCitation · doi-reference
Physics-informed deep learning framework for urban traffic network state data imputation
10.1177/03611981251356516 · ExternalCitation · doi-reference
On missing traffic data imputation based on fuzzy C-means method by considering spatial–temporal correlation
10.3141/2528-10 · ExternalCitation · doi-reference
10.3390/systems14010061
10.3390/systems14010061 · ExternalCitation · doi-reference
10.3390/systems14020190
10.3390/systems14020190 · ExternalCitation · doi-reference
10.3390/systems14040399
10.3390/systems14040399 · ExternalCitation · doi-reference
10.3390/systems14050535
10.3390/systems14050535 · ExternalCitation · doi-reference
10.3390/systems14050537
10.3390/systems14050537 · ExternalCitation · doi-reference
Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM)
10.3934/era.2025040 · ExternalCitation · doi-reference
Tensor ring decomposition with data-driven for color image completion
10.3934/era.2026023 · ExternalCitation · doi-reference
FCTN decomposition for tensor completion with factor double sparsity regularization
10.3934/era.2026255 · ExternalCitation · doi-reference
