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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:

STGMN: A gated multi-graph convolutional network framework for traffic flow prediction
Qingjian Ni, Meng Zhang
Applied Intelligence (2022) Vol. 52, Iss. 13, pp. 15026-15039
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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
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
ST-A-PGCL: Spatiotemporal adaptive periodical graph contrastive learning for traffic prediction under real scenarios
Yansong Qu, Jian Rong, Zhenlong Li, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110591-110591
Closed Access | Times Cited: 20
Prediction of corn variety yield with attribute-missing data via graph neural network
Feng Yang, Dongfeng Zhang, Yuqing Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108046-108046
Closed Access | Times Cited: 20
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction
Liyan Xiong, Xinhua Yuan, Zhuyi Hu, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 5
Hybrid fuzzy grammar dynamic graph diffusing attention network for traffic flow prediction
Dongxue Zhang, Zhao Zhang, Xiaohong Jiao, et al.
Future Generation Computer Systems (2025), pp. 107725-107725
Closed Access
Heterogeneous multi-modal graph network for arterial travel time prediction
Jie Fang, Hangyu He, Mengyun Xu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Dynamic Spatiotemporal Correlation Graph Convolutional Network for Traffic Speed Prediction
Chenyang Cao, Yinxin Bao, Quan Shi, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 308-308
Open Access | Times Cited: 3
Overview of machine learning-based traffic flow prediction
Zhibo Xing, Mingxia Huang, Dan Peng
Digital Transportation and Safety (2023) Vol. 2, Iss. 3, pp. 164-175
Open Access | Times Cited: 6
Towards real-world traffic prediction and data imputation: A multi-task pretraining and fine-tuning approach
Yansong Qu, Zhenlong Li, Xiaohua Zhao, et al.
Information Sciences (2023) Vol. 657, pp. 119972-119972
Closed Access | Times Cited: 5
Adaptive Graph Attention and Long Short-Term Memory-Based Networks for Traffic Prediction
Taomei Zhu, María Jesús L. Boada, Beatriz L. Boada
Mathematics (2024) Vol. 12, Iss. 2, pp. 255-255
Open Access | Times Cited: 1
Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems
Xian Yu, Yinxin Bao, Quan Shi
PeerJ Computer Science (2024) Vol. 10, pp. e1913-e1913
Open Access | Times Cited: 1
STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction
Hui Zeng, Qiang Cui, Xiaohui Huang, et al.
Cluster Computing (2024)
Closed Access | Times Cited: 1
Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification
Sun Yan-feng, Y. H. Wang, Shaofan Wang
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7941-7957
Closed Access | Times Cited: 1
TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction
He Yang, Cong Jiang, Yun Song, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 8179-8196
Open Access | Times Cited: 1
PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
Zhenxin Li, Yong Han, Zhenyu Xu, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 6, pp. 241-241
Open Access | Times Cited: 4
A spatio-temporal grammar graph attention network with adaptive edge information for traffic flow prediction
Zhao Zhang, Xiaohong Jiao
Applied Intelligence (2023)
Closed Access | Times Cited: 4
Graph dropout self-learning hierarchical graph convolution network for traffic prediction
Qingjian Ni, Wenqiang Peng, Yuntian Zhu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106460-106460
Closed Access | Times Cited: 3
A novel attention-guided ECA-CNN architecture for sEMG-based gait classification
Zhangjie Wu, Minming Gu
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 4, pp. 7140-7153
Open Access | Times Cited: 2
ADSTGCN: A Dynamic Adaptive Deeper Spatio-Temporal Graph Convolutional Network for Multi-Step Traffic Forecasting
Zhengyan Cui, Junjun Zhang, Giseop Noh, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6950-6950
Open Access | Times Cited: 2
Spatio-Temporal Graph-TCN Neural Network for Traffic Flow Prediction
Hongjin Ren, Jinbiao Kang, Ke Zhang
2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (2022), pp. 1-4
Closed Access | Times Cited: 3
Combining jumping knowledge into traffic forecasting: An attention-based spatial-temporal adaptive integration gated network
Rucheng Zhou, Dongmei Zhang, Jiabao Zhu, et al.
Intelligent Data Analysis (2024) Vol. 28, Iss. 5, pp. 1245-1269
Closed Access
Bi-State Prediction Network Model for Mixed Traffic Congestion Prediction
M Suresh Kumar, Kranti Kumar
International Journal of Computational Intelligence and Applications (2024) Vol. 23, Iss. 03
Closed Access
An Integrated Static and Dynamic Graph Fusion Approach for Traffic Flow Prediction
Xingliang Che, Wen Xiong, Xian Zhang, et al.
Research Square (Research Square) (2024)
Open Access
A Comprehensive Review and Evaluation of Deep Learning Methods in Social Sciences
Sina Ardabili, Amir Mosavi, Csaba Makó, et al.
Pro Publico Bono - Magyar Közigazgatás (2024) Vol. 12, Iss. 1, pp. 9-51
Open Access
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