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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:

Deep reinforcement learning guided graph neural networks for brain network analysis
Xusheng Zhao, Jia Wu, Hao Peng, et al.
Neural Networks (2022) Vol. 154, pp. 56-67
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Kaizhong Zheng, Shujian Yu, Badong Chen
Neural Networks (2024) Vol. 172, pp. 106147-106147
Open Access | Times Cited: 23
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 2
Reinforcement Learning on Graphs: A Survey
Mingshuo Nie, Dongming Chen, Dongqi Wang
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1065-1082
Open Access | Times Cited: 38
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence
Amin Beheshti, Jian Yang, Quan Z. Sheng, et al.
(2023), pp. 731-739
Open Access | Times Cited: 36
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
Xusheng Zhao, Hao Peng, Qiong Dai, et al.
(2024), pp. 976-984
Open Access | Times Cited: 11
A Comprehensive Survey on Graph Summarization With Graph Neural Networks
Nasrin Shabani, Jia Wu, Amin Beheshti, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 3780-3800
Open Access | Times Cited: 10
Joint learning of multi-level dynamic brain networks for autism spectrum disorder diagnosis
Na Li, Jinjie Xiao, Ning Mao, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108054-108054
Open Access | Times Cited: 5
A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction
Sihui Li, Rui Zhang
Neural Networks (2024) Vol. 175, pp. 106285-106285
Closed Access | Times Cited: 5
Deep graph level anomaly detection with contrastive learning
Xuexiong Luo, Jia Wu, Jian Yang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Enhanced neighborhood node graph neural networks for load forecasting in smart grid
Yanmei Jiang, Mingsheng Liu, Yangyang Li, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 1, pp. 129-148
Closed Access | Times Cited: 12
Exploring the Molecular Terrain: A Survey of Analytical Methods for Biological Network Analysis
Trong-The Nguyen, Thi-Kien Dao, Duc-Tinh Pham, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 462-462
Open Access | Times Cited: 4
A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
A novel hybrid fast Fourier transform processor in 5G+ and bio medical applications
R. Priyadharsini, S. Sasipriya
Microprocessors and Microsystems (2024) Vol. 105, pp. 105022-105022
Closed Access | Times Cited: 3
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, et al.
Neural Networks (2023) Vol. 169, pp. 584-596
Open Access | Times Cited: 9
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration
Xuexiong Luo, Jia Wu, Jian Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3559-3572
Closed Access | Times Cited: 3
Graph neural networks for image‐guided disease diagnosis: A review
Lin Zhang, Yan Zhao, Tongtong Che, et al.
iRadiology (2023) Vol. 1, Iss. 2, pp. 151-166
Open Access | Times Cited: 8
Large language models for medicine: a survey
Yanxin Zheng, Wensheng Gan, Zefeng Chen, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 2
Revisiting artificial intelligence diagnosis of hepatocellular carcinoma with DIKWH framework
Xiaomin Shen, Jinxin Wu, Junwei Su, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 6
Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence
Amin Beheshti
(2023), pp. 763-771
Closed Access | Times Cited: 6
Black-box attacks on dynamic graphs via adversarial topology perturbations
Haicheng Tao, Jie Cao, Lei Chen, et al.
Neural Networks (2023) Vol. 171, pp. 308-319
Closed Access | Times Cited: 5
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis
Xuexiong Luo, Guangwei Dong, Jia Wu, et al.
(2024), pp. 1074-1077
Open Access | Times Cited: 1
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network
Chuanzhen Zhu, Honglun Li, Zhiwei Song, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
Automated diagnosis of schizophrenia based on spatial–temporal residual graph convolutional network
Xinyi Xu, Geng Zhu, Bin Li, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Predicting Functional Connectivity Network from Routinely Acquired T1-Weighted Imaging-Based Brain Network by Generative U-GCNet
Zhiwei Song, Chuanzhen Zhu, Minbo Jiang, et al.
Neurocomputing (2024) Vol. 611, pp. 128709-128709
Closed Access | Times Cited: 1
Dynamic sparse coding-based value estimation network for deep reinforcement learning
Haoli Zhao, Zhenni Li, Wensheng Su, et al.
Neural Networks (2023) Vol. 168, pp. 180-193
Closed Access | Times Cited: 4
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