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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:

DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting
Kyung‐Eun Lee, Wonjong Rhee
Transportation Research Part C Emerging Technologies (2021) Vol. 134, pp. 103466-103466
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Graph neural network for traffic forecasting: A survey
Weiwei Jiang, Jiayun Luo
Expert Systems with Applications (2022) Vol. 207, pp. 117921-117921
Open Access | Times Cited: 751
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
Xueyan Yin, Genze Wu, Jinze Wei, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 6, pp. 4927-4943
Open Access | Times Cited: 303
Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
Maryam Shaygan, Collin Meese, Wanxin Li, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 145, pp. 103921-103921
Open Access | Times Cited: 104
Graph Neural Network for Traffic Forecasting: The Research Progress
Weiwei Jiang, Jiayun Luo, Miao He, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 3, pp. 100-100
Open Access | Times Cited: 70
Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network
Shengyou Wang, Anthony Chen, Pinxi Wang, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 153, pp. 104205-104205
Closed Access | Times Cited: 45
PGCN: Progressive Graph Convolutional Networks for Spatial–Temporal Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7633-7644
Closed Access | Times Cited: 25
Short-Term Traffic Prediction With Deep Neural Networks: A Survey
Kyung‐Eun Lee, Moonjung Eo, Euna Jung, et al.
IEEE Access (2021) Vol. 9, pp. 54739-54756
Open Access | Times Cited: 59
AGNP: Network-wide short-term probabilistic traffic speed prediction and imputation
Meng Xu, Yining Di, Hongxing Ding, et al.
Communications in Transportation Research (2023) Vol. 3, pp. 100099-100099
Open Access | Times Cited: 32
A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation
Xianlei Fu, Yue Pan, Limao Zhang
Expert Systems with Applications (2023) Vol. 238, pp. 121977-121977
Closed Access | Times Cited: 28
Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level Taxi Demand–Supply Imbalance Using GPS Trajectories
Haiqiang Yang, Zihan Li
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 2, pp. 34-34
Open Access | Times Cited: 13
TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting
Lei Wang, Deke Guo, Huaming Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102229-102229
Closed Access | Times Cited: 12
Parallel framework of a multi-graph convolutional network and gated recurrent unit for spatial–temporal metro passenger flow prediction
Shuguang Zhan, Cai Yi, Cong Xiu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123982-123982
Closed Access | Times Cited: 10
MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction
Biyue Li, Zhishuai Li, Jun Chen, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 160, pp. 104521-104521
Closed Access | Times Cited: 9
An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction
Shengyou Wang, Yuan Li, Chunfu Shao, et al.
Applied Energy (2025) Vol. 383, pp. 125320-125320
Closed Access | Times Cited: 1
Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 3, pp. 2082-2092
Open Access | Times Cited: 59
Dynamic multi-graph neural network for traffic flow prediction incorporating traffic accidents
Yaqin Ye, Yue Xiao, Yuxuan Zhou, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121101-121101
Closed Access | Times Cited: 18
Developing a time-series speed prediction model using Transformer networks for freeway interchange areas
Ling Wu, Yuanqing Wang, Jianbei Liu, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108860-108860
Closed Access | Times Cited: 17
Railway cold chain freight demand forecasting with graph neural networks: A novel GraphARMA-GRU model
Tao Peng, Mi Gan, Qichen Ou, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124693-124693
Closed Access | Times Cited: 8
Tourism demand forecasting using complex network theory
Weimin Zheng, Jianqiang Li, Cheng Li
Asia Pacific Journal of Tourism Research (2024) Vol. 29, Iss. 3, pp. 302-320
Closed Access | Times Cited: 7
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: 6
Transfer learning-based nonstationary traffic flow prediction using AdaRNN and DCORAL
Linlin Zang, Tao Wang, Bo Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125143-125143
Closed Access | Times Cited: 6
Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism
Yan Zheng, Shengyou Wang, Chunjiao Dong, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 608, pp. 128274-128274
Closed Access | Times Cited: 25
Risk assessment of utility tunnels through risk interaction-based deep learning
Gang Xue, Shifeng Liu, Long Ren, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109626-109626
Closed Access | Times Cited: 15
A new multiregional carbon emissions forecasting model based on a multivariable information fusion mechanism and hybrid spatiotemporal graph convolution network
Zhen Shao, Shina Gao, Kaile Zhou, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 119976-119976
Closed Access | Times Cited: 5
Identifying a good business location using prescriptive analytics: Restaurant location recommendation based on spatial data mining
Shuihua Han, Linlin Chen, Zhaopei Su, et al.
Journal of Business Research (2024) Vol. 179, pp. 114691-114691
Open Access | Times Cited: 5
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