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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:

Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction
Yue Wang, Aite Zhao, Jianbo Li, et al.
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4183-4209
Closed Access | Times Cited: 13

Showing 13 citing articles:

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: 67
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
Traffic Flow Prediction Based on Dynamic Time Slot Graph Convolution
Hongwei Chen, Han Wang, Zexi Chen
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed 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
An OD time prediction model based on adaptive graph embedding
Rong Wang, Qiang Guo, Shuo Dai, et al.
Physica A Statistical Mechanics and its Applications (2024), pp. 130217-130217
Closed Access | Times Cited: 3
An adaptive composite time series forecasting model for short-term traffic flow
Qitan Shao, Xinglin Piao, Xiangyu Yao, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
FuseLGNet: Fusion of Local and Global Information for Detection of Parkinson’s Disease
Ming Chen, Tao Ren, Pihai Sun, et al.
Information (2023) Vol. 14, Iss. 2, pp. 119-119
Open Access | Times Cited: 3
Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation
Tianyu Zhang, Lin Li, Rui Zhang, et al.
Lecture notes in computer science (2024), pp. 421-436
Closed Access
Modeling the Causes of Urban Traffic Crashes: Accounting for Spatiotemporal Instability in Cities
Hongwen Xia, Rengkui Liu, Zhou Wei, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 9102-9102
Open Access
A Spatio-Temporal Approach for Urban Travel Demand Forecasting
本嘉 楚
Computer Science and Application (2023) Vol. 13, Iss. 03, pp. 518-527
Closed Access | Times Cited: 1
Spatio-Temporal Heterogeneous Graph-Based Convolutional Networks for Traffic Flow Forecasting
笑阳 辛
Computer Science and Application (2023) Vol. 13, Iss. 03, pp. 399-409
Closed Access
Spatial-Temporal Based Deep Learning Model Perceives Travel Time
阳 刘
Computer Science and Application (2023) Vol. 13, Iss. 03, pp. 378-389
Closed Access
Multi-Spatial Scale Spatio-Temporal Transformer: A Refined Traffic Data Forecasting Method
悦 张, Lei Zhang, Bailong Liu, et al.
Research Square (Research Square) (2023)
Open Access
A Deep Spatiotemporal Model for Traffic Flow Prediction Based on Discrete Wavelet Transform
浩 曲
Computer Science and Application (2023) Vol. 13, Iss. 12, pp. 2417-2431
Closed Access
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