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:

Spatio‐temporal adaptive graph convolutional networks for traffic flow forecasting
Qiwei Ma, Wei Sun, Junbo Gao, et al.
IET Intelligent Transport Systems (2022) Vol. 17, Iss. 4, pp. 691-703
Closed Access | Times Cited: 15

Showing 15 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

Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio–temporal forecasting
Safaa Berkani, Adil Bahaj, Bassma Guermah, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110161-110161
Closed Access

Intelligent vehicle decision-making strategy integrating spatiotemporal features at roundabout
Wenxiao Ma, Jian Wu, Bohua Sun, et al.
Expert Systems with Applications (2025), pp. 126779-126779
Closed Access

Graph neural networks as strategic transport modelling alternative ‐ A proof of concept for a surrogate
Santhanakrishnan Narayanan, Nikita Makarov, Constantinos Antoniou
IET Intelligent Transport Systems (2024) Vol. 18, Iss. 11, pp. 2059-2077
Open Access | Times Cited: 1

Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction
Changxi Ma, Yanming Hu, Xuecai Xu
Data Science and Management (2024)
Open Access | Times Cited: 1

Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study
Qinpei Zhao, Guangda Yang, Kai Zhao, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 6, pp. 1536-1548
Closed Access | Times Cited: 3

Dynamic Graph Convolution-Based Spatio-Temporal Feature Network for Urban Water Demand Forecasting
Zhiwei Jia, Honghui Li, Jiahe Yan, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10014-10014
Open Access | Times Cited: 2

Three-Tier Survey of Deep Learning Based Traffic Prediction Schemes
Alok Kumar, Deepanshu Garg, Geetika Sharma
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-6
Closed Access

Spatio-Temporal Dynamically Fused Graph Convolutional Network
Zongru Li, Bo‐Yan Chen, Penghui Xi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

Optimization of model parameters and hyperparameters in deep learning models for spatial interaction prediction
Lin Liu, Xiaojing Cao, Hengsheng Wang, et al.
Expert Systems with Applications (2024), pp. 126160-126160
Closed Access

Elucidating US Import Supply Chain Dynamics
Nikolay Aristov, Ziyan Li, Thomas Koch, et al.
Procedia Computer Science (2024) Vol. 238, pp. 216-223
Open Access

Traffic Flow Prediction Based on Transformer And Multi-Graph Fusion Convolution
Yijun Liu, Hao Huang, Wujian Ye
Research Square (Research Square) (2024)
Closed Access

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