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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:

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: 73

Showing 1-25 of 73 citing articles:

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 51
From anomaly detection to classification with graph attention and transformer for multivariate time series
Chaoyang Wang, Guangyu Liu
Advanced Engineering Informatics (2024) Vol. 60, pp. 102357-102357
Closed Access | Times Cited: 18
Graph spatiotemporal process for multivariate time series anomaly detection with missing values
Yu Zheng, Huan Yee Koh, Ming Jin, et al.
Information Fusion (2024) Vol. 106, pp. 102255-102255
Open Access | Times Cited: 10
Bidirectional f-Divergence-Based Deep Generative Method for Imputing Missing Values in Time-Series Data
Wen-Shan Liu, Tong Si, Aldas Kriauciunas, et al.
Stats (2025) Vol. 8, Iss. 1, pp. 7-7
Open Access | Times Cited: 1
Correlation-Aware Spatial–Temporal Graph Learning for Multivariate Time-Series Anomaly Detection
Yu Zheng, Huan Yee Koh, Ming Jin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 11802-11816
Open Access | Times Cited: 18
Graph neural networks for clinical risk prediction based on electronic health records: A survey
Heloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, et al.
Journal of Biomedical Informatics (2024) Vol. 151, pp. 104616-104616
Open Access | Times Cited: 4
MixMamba: Time series modeling with adaptive expertise
Alkilane Khaled, Yihang He, Der-Horng Lee
Information Fusion (2024) Vol. 112, pp. 102589-102589
Closed Access | Times Cited: 4
Tracking-removed neural network with graph information for classification of incomplete data
Xiaochen Lai, Zheng Zhang, Hui Chen, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Robust graph neural networks based on feature fusion
Yan Jin, Haoyu Shi, Hai Lei Meng
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
TEMPO: Time-evolving multi-period observational anomaly detection method for space probes
Yiqun Qiao, Tian Wang, Jinhu Lü, et al.
Chinese Journal of Aeronautics (2025), pp. 103426-103426
Open Access
A review of graph-powered data quality applications for IoT monitoring sensor networks
Pau Ferrer-Cid, José M. Barceló-Ordinas, Jorge Garcı́a-Vidal
Journal of Network and Computer Applications (2025) Vol. 236, pp. 104116-104116
Closed Access
Harnessing Logic Heterograph Learning for Financial Operational Risks: A Perspective of Cluster and Thin-tailed Distributions
Guanyuan Yu, Boyu Han, Qing Li, et al.
Information Sciences (2025), pp. 121939-121939
Closed Access
Graph Anomaly Detection via Diffusion Enhanced Multi-View Contrastive Learning
Xiangjie Kong, Jin Liu, Huan Li, et al.
Knowledge-Based Systems (2025), pp. 113093-113093
Closed Access
A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin
Xiaofeng Wang, Jihong Yan, Xun Xu
Journal of Manufacturing Systems (2025) Vol. 79, pp. 455-465
Closed Access
Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio–temporal forecasting
Safaa Berkani, Adil Bahaj, Bassma Guermah, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110161-110161
Closed Access
Imputation Methods Based on Cluster-Wise Linear Regression: A Mathematical Programming Approach
Mahmoud A. Mahmoud, Nouran M. Tawheed, Ahmed M. Gad
Journal of Statistical Theory and Applications (2025)
Open Access
An Express Management System With Graph Recurrent Neural Network for Estimated Time of Arrival
Xiaozhi Su, Bilal Alataş, Osama Sohaib
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-26
Open Access
Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning
Giulio Mattera, Raffaele Mattera, Silvestro Vespoli, et al.
Computers & Industrial Engineering (2025), pp. 111023-111023
Open Access
Self-attention-based graph transformation learning for anomaly detection in multivariate time series
Qiushi Wang, Yimei Zhu, Zhicheng Sun, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 5
Open Access
Cross-city transfer learning for traffic forecasting via incremental distribution rectification
Banglie Yang, Runze Li, Yijing Wang, et al.
Knowledge-Based Systems (2025), pp. 113336-113336
Closed Access
Batch active learning for time-series classification with multi-mode exploration
Sangho Lee, Chihyeon Choi, Hyungrok Do, et al.
Information Sciences (2025), pp. 122109-122109
Closed Access
Graph neural networks for virtual sensing in complex systems: Addressing heterogeneous temporal dynamics
Mengjie Zhao, Cees Taal, Stephan Baggerohr, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112544-112544
Open Access
A visualizable deep learning model for multiscale precipitation-driven karst spring discharge
Huiqing Hao, Yonghong Hao, Chunmei Ma, et al.
Journal of Hydrology (2025), pp. 133168-133168
Closed Access
DPSN-STHA: A Dynamic Perception Model of Similar Nodes with Spatial-Temporal Heterogeneity Attention for Traffic Flow Forecasting
Jinnan Yang, Wentian Cui, Qing Shen, et al.
Information Sciences (2025), pp. 122126-122126
Closed Access
Network-based multi-omics integrative analysis methods in drug discovery: a systematic review
Wei Jiang, Weicai Ye, Xiao-Ming Tan, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
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