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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:

Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues
Khac‐Hoai Nam Bui, Ji-Ho Cho, Hongsuk Yi
Applied Intelligence (2021) Vol. 52, Iss. 3, pp. 2763-2774
Closed Access | Times Cited: 148

Showing 1-25 of 148 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: 143
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: 133
Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106041-106041
Open Access | Times Cited: 104
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: 83
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: 82
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: 64
Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Xinming Li, Yanxue Wang, Jiachi Yao, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109980-109980
Closed Access | Times Cited: 38
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: 26
Smart virtual sensing for deep excavations using real-time ensemble graph neural networks
Chen Yang, Chen Wang, Feng Zhao, et al.
Automation in Construction (2025) Vol. 172, pp. 106040-106040
Closed Access | Times Cited: 2
Machine Learning of Spatial Data
Behnam Nikparvar, Jean‐Claude Thill
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 9, pp. 600-600
Open Access | Times Cited: 69
Deep reinforcement learning for the dynamic and uncertain vehicle routing problem
Weixu Pan, Shi Qiang Liu
Applied Intelligence (2022) Vol. 53, Iss. 1, pp. 405-422
Closed Access | Times Cited: 67
Enhancement of traffic forecasting through graph neural network-based information fusion techniques
Shams Forruque Ahmed, Sweety Angela Kuldeep, Sabiha Jannat Rafa, et al.
Information Fusion (2024) Vol. 110, pp. 102466-102466
Open Access | Times Cited: 10
Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network
Xiang Yin, Junyang Yu, Xiaoyu Duan, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 2
Open Access | Times Cited: 1
Conformal load prediction with transductive graph autoencoders
Rui Luo, Nicolò Colombo
Machine Learning (2025) Vol. 114, Iss. 3
Closed Access | Times Cited: 1
Research on Modeling and Analysis Methods of Railway Station Yard Diagrams Based on Multi-Layer Complex Networks
Pengfei Gao, Wei Zheng, Jintao Liu, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2324-2324
Open Access | Times Cited: 1
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions
Di Zhu, Yu Liu, Xin Yao, et al.
GeoInformatica (2021) Vol. 26, Iss. 4, pp. 645-676
Closed Access | Times Cited: 42
DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction
Rahul Kumar, João Mendes Moreira, Joydeep Chandra
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25388-25411
Closed Access | Times Cited: 22
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Peng Xie, Minbo Ma, Tianrui Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 9973-9984
Open Access | Times Cited: 21
Graph Neural Networks (GNNs) based accelerated numerical simulation
Chunhao Jiang, Nian-Zhong Chen
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106370-106370
Closed Access | Times Cited: 21
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index
Zhiqiang Lv, Xiaotong Wang, Zesheng Cheng, et al.
Data & Knowledge Engineering (2023) Vol. 146, pp. 102193-102193
Open Access | Times Cited: 19
Spatio-temporal fusion of meteorological factors for multi-site PM2.5 prediction: A deep learning and time-variant graph approach
Hongqing Wang, Lifu Zhang, Rong Wu, et al.
Environmental Research (2023) Vol. 239, pp. 117286-117286
Closed Access | Times Cited: 19
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Pengyuan Liu, Yan Zhang, Filip Biljecki
Environment and Planning B Urban Analytics and City Science (2023) Vol. 51, Iss. 5, pp. 1104-1123
Closed Access | Times Cited: 18
Graph Neural Network for Spatiotemporal Data: Methods and Applications
Yun Li, Dazhou Yu, Zhenke Liu, et al.
(2024)
Open Access | Times Cited: 6
Unsupervised anomaly detection based method of risk evaluation for road traffic accident
Chao Zhao, Xiaokun Chang, Tian Xie, et al.
Applied Intelligence (2022) Vol. 53, Iss. 1, pp. 369-384
Closed Access | Times Cited: 24
Learning from explainable data-driven tunneling graphs: A spatio-temporal graph convolutional network for clogging detection
Yuyue Gao, Rui Chen, Wenbo Qin, et al.
Automation in Construction (2023) Vol. 147, pp. 104741-104741
Closed Access | Times Cited: 16
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