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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:

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: 134

Showing 1-25 of 134 citing articles:

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: 79
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao, Fei Wang, Yongjun Xu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 37, Iss. 1, pp. 291-305
Closed Access | Times Cited: 24
Spatial-Temporal Large Language Model for Traffic Prediction
Chenxi Liu, Yang Sun, Qianxiong Xu, et al.
(2024), pp. 31-40
Open Access | Times Cited: 21
Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
Aoyu Liu, Yaying Zhang
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7645-7660
Open Access | Times Cited: 17
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou, Yibo Yan, Xixuan Hao, et al.
Information Fusion (2024) Vol. 113, pp. 102606-102606
Open Access | Times Cited: 14
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
Weiyang Kong, Ziyu Guo, Yubao Liu
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8627-8635
Open Access | Times Cited: 12
MSTDFGRN: A Multi-view Spatio-Temporal Dynamic Fusion Graph Recurrent Network for traffic flow prediction
Shiyu Yang, Qunyong Wu, Yuhang Wang, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110046-110046
Closed Access | Times Cited: 1
Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating graph WaveNet and self-attention mechanism
Jin Cao, Xie Chi, Yang Zhou, et al.
Energy Economics (2025), pp. 108318-108318
Closed Access | Times Cited: 1
Infrared Polarization-Empowered Full-Time Road Detection via Lightweight Multi-Pathway Collaborative 2D/3D Convolutional Networks
Xueqiang Fan, Bing Lin, Zhongyi Guo
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12762-12775
Closed Access | Times Cited: 7
Heterogeneous graph representation-driven multiplex aggregation graph neural network for remaining useful life prediction of bearings
Yongchang Xiao, Dongdong Liu, Lingli Cui, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111679-111679
Closed Access | Times Cited: 7
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: 6
Graph Neural Network for Spatiotemporal Data: Methods and Applications
Yun Li, Dazhou Yu, Zhenke Liu, et al.
(2024)
Open Access | Times Cited: 6
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting
Xinle Wu, Xingjian Wu, Bin Yang, et al.
The VLDB Journal (2024) Vol. 33, Iss. 5, pp. 1743-1770
Closed Access | Times Cited: 6
Dual Graph Convolution Architecture Search for Travel Time Estimation
Guangyin Jin, Huan Yan, Fuxian Li, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 4, pp. 1-23
Closed Access | Times Cited: 15
A novel spatio-temporal generative inference network for predicting the long-term highway traffic speed
Guojian Zou, Ziliang Lai, Changxi Ma, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 154, pp. 104263-104263
Closed Access | Times Cited: 13
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Bin‐Wu Wang, Pengkun Wang, Yudong Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 9089-9097
Open Access | Times Cited: 5
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer
Shilong Sun, Hao Ding, Zida Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102579-102579
Closed Access | Times Cited: 5
Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks
Yimo Yan, Songyi Cui, Jiahui Liu, et al.
Information Fusion (2024), pp. 102695-102695
Closed Access | Times Cited: 5
Pi-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction
Ting Wang, Dong Ngoduy, Guojian Zou, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125144-125144
Closed Access | Times Cited: 4
A Noise-Robust Approach Using Dynamic Graph Neural Networks for Bus Passenger Flow Prediction
Xinyi Zhou, Siyu Sun, Nizar Bouguila, et al.
(2025)
Closed Access
Transfer-Mamba: Selective state space models with spatio–temporal knowledge transfer for few-shot traffic prediction across cities
Shaokang Cheng, Shiru Qu, Junxi Zhang
Simulation Modelling Practice and Theory (2025), pp. 103066-103066
Closed Access
STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning
Yi Lai, Ye Zhu, Li Li, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 310-310
Open Access
Developing the urban comfort index: Advancing liveability analytics with a multidimensional approach and explainable artificial intelligence
Binyu Lei, Pengyuan Liu, Xiucheng Liang, et al.
Sustainable Cities and Society (2025) Vol. 120, pp. 106121-106121
Closed Access
Spatiotemporal deep learning for multi-attribute prediction of excavation-induced risk
Yue Pan, He Wen, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 105964-105964
Closed Access
Dynamic Spatio-Temporal Residual Hypergraph Convolutional Networks for Traffic Flow Forecasting
Jun Su, Hairu Wang, Кrzysztof Przystupa, et al.
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed Access
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