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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:

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: 729

Showing 1-25 of 729 citing articles:

Graph-based deep learning for communication networks: A survey
Weiwei Jiang
Computer Communications (2021) Vol. 185, pp. 40-54
Open Access | Times Cited: 189
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 126
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 123
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang, Zhaonan Wang, Jiawei Yong, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8078-8086
Open Access | Times Cited: 102
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: 99
A review of spatially-explicit GeoAI applications in Urban Geography
Pengyuan Liu, Filip Biljecki
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102936-102936
Open Access | Times Cited: 97
Cellular traffic prediction with machine learning: A survey
Weiwei Jiang
Expert Systems with Applications (2022) Vol. 201, pp. 117163-117163
Closed Access | Times Cited: 90
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang, et al.
ACM Transactions on Sensor Networks (2022) Vol. 19, Iss. 2, pp. 1-50
Open Access | Times Cited: 74
Graph Neural Networks for Intelligent Transportation Systems: A Survey
Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 8, pp. 8846-8885
Open Access | Times Cited: 73
Fairness in Graph Mining: A Survey
Yushun Dong, Jing Ma, Song Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10583-10602
Open Access | Times Cited: 71
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin, Huan Yee Koh, Qingsong Wen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10466-10485
Open Access | Times Cited: 70
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: 66
A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting
Ana Lazcano, Pedro Javier Herrera, Manuel Monge
Mathematics (2023) Vol. 11, Iss. 1, pp. 224-224
Open Access | Times Cited: 62
Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction
Yinxin Bao, Jiashuang Huang, Qin-Qin Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106044-106044
Closed Access | Times Cited: 59
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Zidong Yu, Changhe Zhang, Chao Deng
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110534-110534
Closed Access | Times Cited: 54
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
Jian Chen, Zheng Li, Yuzhu Hu, et al.
Information Fusion (2023) Vol. 104, pp. 102146-102146
Closed Access | Times Cited: 47
Software defined satellite networks: A survey
Weiwei Jiang
Digital Communications and Networks (2023) Vol. 9, Iss. 6, pp. 1243-1264
Open Access | Times Cited: 45
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: 41
LSTTN: A Long-Short Term Transformer-based spatiotemporal neural network for traffic flow forecasting
Qinyao Luo, Silu He, Xing Han, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111637-111637
Open Access | Times Cited: 29
Distributed Graph Neural Network Training: A Survey
Yingxia Shao, Hongzheng Li, Xizhi Gu, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 8, pp. 1-39
Open Access | Times Cited: 21
STGAFormer: Spatial–temporal Gated Attention Transformer based Graph Neural Network for traffic flow forecasting
Zili Geng, Jie Xu, Rongsen Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102228-102228
Closed Access | Times Cited: 18
Graph Neural Network-Based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 493-503
Open Access | Times Cited: 18
FD-TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction
Lijun Sun, Mingzhi Liu, Guanfeng Liu, et al.
Information Fusion (2024) Vol. 106, pp. 102291-102291
Closed Access | Times Cited: 15
Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges
Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, et al.
IEEE Open Journal of Vehicular Technology (2024) Vol. 5, pp. 397-427
Open Access | Times Cited: 14
Data-driven Analysis of Taxi and Ride-hailing Services: Case Study in Chengdu, China
Weiwei Jiang
Computer and decision making. (2025) Vol. 2, pp. 357-373
Closed Access | Times Cited: 1
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