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:

Spatial–Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition
Qin Li, Xuan Yang, Yong Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1749-1760
Open Access | Times Cited: 10

Showing 10 citing articles:

Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
Aoyu Liu, Yaying Zhang
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7645-7660
Open Access | Times Cited: 17

Spatiotemporal interactive learning dynamic adaptive graph convolutional network for traffic forecasting
Feng Jiang, Xingyu Han, Shiping Wen, et al.
Knowledge-Based Systems (2025), pp. 113115-113115
Closed Access | Times Cited: 1

Subjective Driving Risk Prediction Based on Spatiotemporal Distribution Features of Human Driver’s Cognitive Risk
Dongjian Song, Jian Zhao, Bing Zhu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 16687-16703
Closed Access | Times Cited: 8

Cooperative traffic optimization with multi-agent reinforcement learning and evolutionary strategy: Bridging the gap between micro and macro traffic control
Jianshuai Feng, Kaize Lin, Tianyu Shi, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 647, pp. 129734-129734
Closed Access | Times Cited: 5

Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction
Qin Li, Pai Xu, Deqiang He, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124288-124288
Closed Access | Times Cited: 4

Graph convolution networks based on adaptive spatiotemporal attention for traffic flow forecasting
Hongbo Xiao, Beiji Zou, Jianhua Xiao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Emerging Trends in Graph Neural Networks for Traffic Flow Prediction: A Survey
Guangrui Fan, Aznul Qalid Md Sabri, Siti Soraya Abdul Rahman, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access

Long-Term Demand Prediction for Public Bicycle Sharing System: A Spatio-Temporal Attentional Graph Convolution Networks Approach
Ziheng Liu, Hideomi Gokon, Yoshihide Sekimoto
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 21515-21527
Open Access | Times Cited: 2

BCDM: An Early-Stage DDoS Incident Monitoring Mechanism Based on Binary-CNN in IPv6 Network
Yufu Wang, Xingwei Wang, Qiang Ni, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 5, pp. 5873-5887
Closed Access | Times Cited: 1

TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction
Qin Li, Bingguang Ou, Yifa Liang, et al.
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 3

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