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:

Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification
Yuzhong Chen, Jiadong Yan, Mingxin Jiang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7275-7286
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10591-10605
Closed Access | Times Cited: 34

A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders
Shengjie Zhang, Xiang Chen, Xin Shen, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102932-102932
Closed Access | Times Cited: 25

Multimodal Fusion of Brain Imaging Data: Methods and Applications
Na Luo, Weiyang Shi, Zhengyi Yang, et al.
Deleted Journal (2024) Vol. 21, Iss. 1, pp. 136-152
Open Access | Times Cited: 10

Graph Attention Networks: A Comprehensive Review of Methods and Applications
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 10

Multiscale Spectral Augmentation for Graph Contrastive Learning for fMRI analysis to diagnose psychiatric disease
Chang Hu, Yihong Dong, Shoubo Peng
Knowledge-Based Systems (2025), pp. 113175-113175
Closed Access | Times Cited: 1

MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection
Tao Chen, Richang Hong, Yanrong Guo, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 12, pp. 7749-7759
Closed Access | Times Cited: 36

Gradient Matching Federated Domain Adaptation for Brain Image Classification
Ling‐Li Zeng, Zhipeng Fan, Jianpo Su, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7405-7419
Closed Access | Times Cited: 26

Multi-Scale Dynamic Graph Learning for Brain Disorder Detection With Functional MRI
Yunling Ma, Qianqian Wang, Liang Cao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3501-3512
Open Access | Times Cited: 15

Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Ali Yousefian, Farzaneh Shayegh, Zeinab Maleki
Frontiers in Systems Neuroscience (2023) Vol. 16
Open Access | Times Cited: 14

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

DMLGNN: ASD Diagnosis Based on Dual‐Atlas Multi‐Feature Learning Graph Neural Network
Shuaiqi Liu, Chaolei Sun, Jinkai Li, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access

MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder
Peng Wang, Xin Wen, Yi LEI, et al.
Brain Research Bulletin (2025), pp. 111290-111290
Open Access

Autism screening for children based on appearance features across multiple paradigms
Xiaofeng Lu, Shen Yue, Changjian Li, et al.
Displays (2025), pp. 103049-103049
Closed Access

A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks
Ning Qiang, Jie Gao, Qinglin Dong, et al.
Behavioural Brain Research (2023) Vol. 452, pp. 114603-114603
Closed Access | Times Cited: 12

Unsupervised contrastive graph learning for resting‐state functional MRI analysis and brain disorder detection
Xiaochuan Wang, Ying Chu, Qianqian Wang, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 5672-5692
Open Access | Times Cited: 12

Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications
Ghadeer Ghazi Shayea, Mohd Hazli Mohammed Zabil, A. S. Albahri, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

mGNN-bw: Multi-scale Graph Neural Network Based on Biased Random Walk Path Aggregation for ASD Diagnosis
Wentao Pan, Guang Ling, Feng Liu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 900-910
Open Access

Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 12565-12585
Closed Access | Times Cited: 3

Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report
Jacqueline K. Harris, Stefanie Hassel, Andrew D. Davis, et al.
NeuroImage Clinical (2022) Vol. 35, pp. 103120-103120
Open Access | Times Cited: 15

FetalGAN: Automated Segmentation of Fetal Functional Brain MRI Using Deep Generative Adversarial Learning and Multi-Scale 3D U-Net
Josepheen De Asis‐Cruz, Dhineshvikram Krishnamurthy, Chris Jose, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14

Dynamic multi-site graph convolutional network for autism spectrum disorder identification
Weigang Cui, Junling Du, Mingyi Sun, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106749-106749
Closed Access | Times Cited: 8

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

B2-ViT Net: Broad Vision Transformer Network With Broad Attention for Seizure Prediction
Shuiling Shi, Wenqi Liu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 178-188
Open Access | Times Cited: 7

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