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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:

Urban regional function guided traffic flow prediction
Kuo Wang, LingBo Liu, Yang Liu, et al.
Information Sciences (2023) Vol. 634, pp. 308-320
Open Access | Times Cited: 12

Showing 12 citing articles:

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: 21
IWOA-RNN: An improved whale optimization algorithm with recurrent neural networks for traffic flow prediction
Zhiyou Liu, Xinbin Li, Zhigang Lu, et al.
Alexandria Engineering Journal (2025) Vol. 117, pp. 563-576
Closed Access
Road traffic flow prediction based on dynamic spatiotemporal graph attention network
Yuguang Chen, Jintao Huang, Hongbin Xu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Weather Interaction-Aware Spatio-Temporal Attention Networks for Urban Traffic Flow Prediction
Hua Zhong, Jian Wang, Cai Chen, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 647-647
Open Access | Times Cited: 2
Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network
Zhiqi Shen, Kaiquan Cai, Quan Fang, et al.
Journal of Advanced Transportation (2024) Vol. 2024, pp. 1-17
Open Access | Times Cited: 2
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Modeling urban traffic volume incorporating driver stochasticity and traffic correlation with waveguide-based quantum walk
Luojian Tan, Yong Zhi, Songshan Yue, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 645, pp. 129849-129849
Closed Access | Times Cited: 1
Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives
Yu Zhang, Weiming Huang, Yao Yao, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
IEEE Access (2023) Vol. 11, pp. 136478-136495
Open Access | Times Cited: 2
Staf: Convolutional Spatio-Temporal Transformer Architecture Based on Augmented Feature Learning for Traffic Flow Forecasting
Abdul Joseph Fofanah, David Chen, Lian Wen, et al.
(2024)
Closed Access
Traffic Flow Labelling for Congestion Prediction with Improved Heuristic Algorithm and Atrous Convolution-based Hybrid Attention Networks
Vivek Srivastava, Sumita Mishra, Nishu Gupta
Mobile Networks and Applications (2024)
Closed Access
Multi-scale synchronous contextual network for fine-grained urban flow inference
Pan Lin, Qianqian Ren, Zilong Li, et al.
Information Sciences (2024) Vol. 689, pp. 121459-121459
Closed Access
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