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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer
Haoyang Yan, Xiaolei Ma, Ziyuan Pu
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 11, pp. 22386-22399
Open Access | Times Cited: 158

Showing 1-25 of 158 citing articles:

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4365-4373
Open Access | Times Cited: 163
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks
Selim Reza, Marta Campos Ferreira, José J. M. Machado, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117275-117275
Open Access | Times Cited: 145
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
Jian Chen, Zheng Li, Yuzhu Hu, et al.
Information Fusion (2023) Vol. 104, pp. 102146-102146
Closed Access | Times Cited: 49
STGAFormer: Spatial–temporal Gated Attention Transformer based Graph Neural Network for traffic flow forecasting
Zili Geng, Jie Xu, Rongsen Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102228-102228
Closed Access | Times Cited: 22
Unveiling built environment impacts on traffic CO2 emissions using Geo-CNN weighted regression
Bing Liu, Feng Li, Yue Hou, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 132, pp. 104266-104266
Closed Access | Times Cited: 20
Spatial-temporal load prediction of electric bus charging station based on S2TAT
Guangnian Xiao, Hailin Tong, Yaqing Shu, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 164, pp. 110446-110446
Closed Access | Times Cited: 10
Hybrid deep learning models for traffic prediction in large-scale road networks
Zheng Ge, Wei Koong Chai, Jing‐Lin Duanmu, et al.
Information Fusion (2022) Vol. 92, pp. 93-114
Open Access | Times Cited: 50
Traffic-GGNN: Predicting Traffic Flow via Attentional Spatial-Temporal Gated Graph Neural Networks
Yang Wang, Jin Zheng, Yuqi Du, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 18423-18432
Closed Access | Times Cited: 47
MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction
Patara Trirat, Susik Yoon, Jae-Gil Lee
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 3779-3794
Closed Access | Times Cited: 26
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
Xianda Chen, Meixin Zhu, Kehua Chen, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 26
ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer
Jianlei Kong, Xiaomeng Fan, Min Zuo, et al.
Information Fusion (2023) Vol. 103, pp. 102122-102122
Closed Access | Times Cited: 25
A novel hybrid deep learning model with ARIMA Conv-LSTM networks and shuffle attention layer for short-term traffic flow prediction
Ali Reza Sattarzadeh, Ronny Kutadinata, Pubudu N. Pathirana, et al.
Transportmetrica A Transport Science (2023), pp. 1-23
Open Access | Times Cited: 23
Deep knowledge distillation: A self-mutual learning framework for traffic prediction
Ying Li, Ping Li, Doudou Yan, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124138-124138
Open Access | Times Cited: 9
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Jinxin Wu, Deqiang He, Zhenzhen Jin, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123091-123091
Closed Access | Times Cited: 8
FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction
Youxiang Duan, Ning Chen, Shigen Shen, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 9, pp. 9250-9260
Closed Access | Times Cited: 35
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer
Yuchen Fang, Fang Zhao, Yanjun Qin, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 23433-23446
Closed Access | Times Cited: 35
A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation
Xuesong Wu, Mengyun Xu, Jie Fang, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 20, pp. 20203-20213
Closed Access | Times Cited: 31
STGHTN: Spatial-temporal gated hybrid transformer network for traffic flow forecasting
Jiansong Liu, Yan Kang, Hao Li, et al.
Applied Intelligence (2022) Vol. 53, Iss. 10, pp. 12472-12488
Closed Access | Times Cited: 30
Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction
Yinxin Bao, Qin-Qin Shen, Yang Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108135-108135
Closed Access | Times Cited: 7
Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting
Zequan Li, Jinglin Zhou, Zhizhe Lin, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111946-111946
Closed Access | Times Cited: 7
Electric bus charging scheduling problem considering charging infrastructure integrated with solar photovoltaic and energy storage systems
Xiaohan Liu, Sonia Yeh, Patrick Plötz, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 187, pp. 103572-103572
Closed Access | Times Cited: 6
LCDFormer: Long-term correlations dual-graph transformer for traffic forecasting
J. Cai, Chia‐Hung Wang, Kun Hu
Expert Systems with Applications (2024) Vol. 249, pp. 123721-123721
Closed Access | Times Cited: 5
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Bin‐Wu Wang, Pengkun Wang, Yudong Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 9089-9097
Open Access | Times Cited: 5
Local spatial and temporal relation discovery model based on attention mechanism for traffic forecasting
Chenyang Xu, Changqing Xu
Neural Networks (2024) Vol. 176, pp. 106365-106365
Closed Access | Times Cited: 5
TripChain2RecDeepSurv: A novel framework to predict transit users’ lifecycle behavior status transitions for user management
Chengcheng Yu, Haocheng Lin, Wentao Dong, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 167, pp. 104818-104818
Closed Access | Times Cited: 5
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