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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: 119

Showing 26-50 of 119 citing articles:

Will the technological singularity come soon? Modeling the dynamics of artificial intelligence development via multi-logistic growth process
Guangyin Jin, Xiaoyue Ni, Kun Wei, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130450-130450
Closed Access
Spatial homogeneity-aware transfer learning for urban flow prediction
Yinghui Liu, Guojiang Shen, Yanjie Fu, et al.
Knowledge and Information Systems (2025)
Closed Access
A Review of Link Prediction Algorithms in Dynamic Networks
Mengdi Sun, Minghu Tang
Mathematics (2025) Vol. 13, Iss. 5, pp. 807-807
Open Access
Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning
Chuan Liu, Chunshu Wu, Ruibing Song, et al.
Proceedings of the 28th Asia and South Pacific Design Automation Conference (2025), pp. 865-871
Closed Access
Optimizing Matching for On-Demand Ride-Pooling with Stochastic Day-to-Day Dynamics
Yaling Zhao, Lei Tang, Yunji Liang, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access
An improved transformer based traffic flow prediction model
Shipeng Liu, Xingjian Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
MoGERNN: An inductive traffic predictor for unobserved locations
Qishen Zhou, Yifan Zhang, Michail Makridis, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 174, pp. 105080-105080
Closed Access
Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction
Jing Chen, Shengli Pan, Weimin Peng, et al.
Neural Networks (2025) Vol. 187, pp. 107382-107382
Closed Access
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: 14
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: 4
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: 11
An Overview Based on the Overall Architecture of Traffic Forecasting
Lilan Peng, Xuehua Liao, Tianrui Li, et al.
Data Science and Engineering (2024) Vol. 9, Iss. 3, pp. 341-359
Open Access | Times Cited: 3
An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
Aoyu Liu, Yaying Zhang
Expert Systems with Applications (2024) Vol. 250, pp. 123884-123884
Closed Access | Times Cited: 3
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: 3
Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting
Yudong Zhang, Pengkun Wang, Binwu Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14070-14086
Closed Access | Times Cited: 3
Are Graphs and GCNs necessary for short-term metro ridership forecasting?
Qiong Yang, Xianghua Xu, Z. G. Wang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124431-124431
Closed Access | Times Cited: 3
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: 3
Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed
Guojian Zou, Ziliang Lai, Ting Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121548-121548
Closed Access | Times Cited: 8
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction
Zhangtao Cheng, Jienan Zhang, Xovee Xu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 445-455
Closed Access | Times Cited: 2
Dynamic Multi-Scale Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction
Ming Gao, Zhuoran Du, H. Qin, et al.
Knowledge-Based Systems (2024), pp. 112586-112586
Closed Access | Times Cited: 2
A lightweight spatiotemporal graph dilated convolutional network for urban sensor state prediction
Peixiao Wang, Hengcai Zhang, Shifen Cheng, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105105-105105
Closed Access | Times Cited: 7
Spatiotemporal prediction of carbon emissions using a hybrid deep learning model considering temporal and spatial correlations
Yixiang Chen, Yuxin Xie, Dang Xu, et al.
Environmental Modelling & Software (2023) Vol. 172, pp. 105937-105937
Closed Access | Times Cited: 7
Deep spatio-temporal feature fusion learning for multi-step building cooling load forecasting
Mingxuan Zou, Wenjun Huang, Jianxiang Jin, et al.
Energy and Buildings (2024) Vol. 322, pp. 114735-114735
Closed Access | Times Cited: 2
Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey
Rahul Kumar, Manish Bhanu, João Mendes‐Moreira, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-42
Closed Access | Times Cited: 2
Spatio-temporal attention based collaborative local–global learning for traffic flow prediction
Haiyang Chi, Yuhuan Lu, Xie Can, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109575-109575
Closed Access | Times Cited: 2

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