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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:

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7627-7641
Closed Access | Times Cited: 17

Showing 17 citing articles:

A review of deep learning-based information fusion techniques for multimodal medical image classification
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108635-108635
Open Access | Times Cited: 20
Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
Leda Tortora
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 18
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md. Sadman Hafiz, Jamin Rahman Jim, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100340-100340
Open Access | Times Cited: 15
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
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning
Yanwu Yang, Chenfei Ye, Xutao Guo, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 108-121
Closed Access | Times Cited: 24
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, et al.
Image and Vision Computing (2025), pp. 105509-105509
Open Access | Times Cited: 1
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 18
An Explainable Deep Learning-Based Method for Schizophrenia Diagnosis Using Generative Data-Augmentation
Mehrshad Saadatinia, Armin Salimi-Badr
IEEE Access (2024) Vol. 12, pp. 98379-98392
Open Access | Times Cited: 5
The diagnosis of ASD with MRI: a systematic review and meta-analysis
Sjir J. C. Schielen, Jesper Pilmeyer, Albert P. Aldenkamp, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, et al.
(2024)
Closed Access | Times Cited: 2
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI
Zhi-An Huang, Rui Liu, Zexuan Zhu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8161-8175
Closed Access | Times Cited: 12
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 6, pp. 4046-4058
Closed Access | Times Cited: 1
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning
Ning Jiang, Gongshu Wang, Chuyang Ye, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5528-5539
Closed Access | Times Cited: 1
Deep Learning Approaches for End-to-End Modeling of Medical Spatiotemporal Data
Jacqueline K. Harris, Russell Greiner
Studies in computational intelligence (2023), pp. 111-149
Closed Access | Times Cited: 2
Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis
Yajie Zhang, Zhi-An Huang, Jibin Wu, et al.
(2024), pp. 234-239
Closed Access
Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis
Yao Hu, Rui Liu, Jiaqi Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
Mehrshad Saadatinia, Armin Salimi-Badr
arXiv (Cornell University) (2023)
Open Access
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