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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:

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
Zhengyang Zhou, Qihe Huang, Kuo Yang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3603-3614
Closed Access | Times Cited: 14

Showing 14 citing articles:

Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang, Haomin Wen, Yuqi Nie, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6555-6565
Open Access | Times Cited: 23
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Miao Hao, Yan Zhao, Chenjuan Guo, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1050-1062
Open Access | Times Cited: 14
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
Qihe Huang, Lei Shen, Ruixin Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 12608-12616
Open Access | Times Cited: 12
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: 12
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
InsGNN: Interpretable spatio–temporal graph neural networks via information bottleneck
Hui Fang, Haishuai Wang, Yang Gao, et al.
Information Fusion (2025), pp. 102997-102997
Closed Access
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
Chengxin Wang, Yuxuan Liang, Gary Tan
(2024), pp. 702-711
Open Access | Times Cited: 3
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
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
Learning dynamic and multi-scale graph structure for traffic demand prediction
Lilan Peng, Chongshou Li, Wuyang Zhang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
Meta Koopman Decomposition for Time Series Forecasting Under Temporal Distribution Shifts
Yudong Zhang, Xu Wang, Zhaoyang Sun, et al.
(2024)
Closed Access
Joint data augmentations for automated graph contrastive learning and forecasting
Jiaqi Liu, Yi‐Fu Chen, Qianqian Ren, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6481-6490
Open Access
Meta Koopman decomposition for time series forecasting under temporal distribution shifts
Yudong Zhang, Xu Wang, Zhaoyang Sun, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102840-102840
Closed Access
EasyST: A Simple Framework for Spatio-Temporal Prediction
Jiabin Tang, Wei Wei, Lianghao Xia, et al.
(2024), pp. 2220-2229
Open Access
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