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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:

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky
Frontiers in Neuroinformatics (2017) Vol. 11
Open Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang, Jiannong Cao, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3681-3700
Open Access | Times Cited: 540
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
Shelly Soffer, Avi Ben-Cohen, Orit Shimon, et al.
Radiology (2019) Vol. 290, Iss. 3, pp. 590-606
Closed Access | Times Cited: 432
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
Shunping Ji, Chi Zhang, Anjian Xu, et al.
Remote Sensing (2018) Vol. 10, Iss. 1, pp. 75-75
Open Access | Times Cited: 351
Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
Yuhui Du, Zening Fu, Vince D. Calhoun
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 302
Deep Learning and Neurology: A Systematic Review
Aly Valliani, Daniel Ranti, Eric K. Oermann
Neurology and Therapy (2019) Vol. 8, Iss. 2, pp. 351-365
Open Access | Times Cited: 145
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns
Chun‐Ren Phang, Fuad Noman, Hadri Hussain, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1333-1343
Open Access | Times Cited: 145
BolT: Fused window transformers for fMRI time series analysis
Hasan A. Bedel, Irmak Sivgin, Onat Dalmaz, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102841-102841
Open Access | Times Cited: 46
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Fuad Noman, Chee-Ming Ting, Hakmook Kang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1644-1655
Open Access | Times Cited: 16
Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification
Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 82-82
Open Access | Times Cited: 2
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection
Tae‐Eui Kam, Han Zhang, Zhicheng Jiao, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 2, pp. 478-487
Open Access | Times Cited: 141
Deep learning for brain disorder diagnosis based on fMRI images
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2020) Vol. 469, pp. 332-345
Closed Access | Times Cited: 86
Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion
Wen Dong, Zhenhao Wei, Yanhong Zhou, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 85
Decoding and mapping task states of the human brain via deep learning
Xiaoxiao Wang, Xiao Liang, Zhoufan Jiang, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 6, pp. 1505-1519
Open Access | Times Cited: 83
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Abdulaziz Alorf, Muhammad Usman Ghani Khan
Computers in Biology and Medicine (2022) Vol. 151, pp. 106240-106240
Closed Access | Times Cited: 67
A study of brain networks for autism spectrum disorder classification using resting-state functional connectivity
Xin Yang, Ning Zhang, Paul Schrader
Machine Learning with Applications (2022) Vol. 8, pp. 100290-100290
Open Access | Times Cited: 47
Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors
Brankica Bratić, Vladimir Kurbalija, Mirjana Ivanović, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 12
Closed Access | Times Cited: 74
A Deep Neural Network Study of the ABIDE Repository on Autism Spectrum Classification
Xin Yang, T. Paul, Ning Zhang
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 4
Open Access | Times Cited: 53
ADHD classification using auto-encoding neural network and binary hypothesis testing
Yibin Tang, Jia Sun, Chun Wang, et al.
Artificial Intelligence in Medicine (2021) Vol. 123, pp. 102209-102209
Closed Access | Times Cited: 44
Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia
Renping Yu, Cong Pan, Xuan Fei, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 3, pp. 1443-1454
Closed Access | Times Cited: 16
Brain network analysis of working memory in schizophrenia based on multi graph attention network
Ping Lin, Geng Zhu, Xinyi Xu, et al.
Brain Research (2024) Vol. 1831, pp. 148816-148816
Closed Access | Times Cited: 6
A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis
Irmak Sivgin, Hasan Bedel, Şaban Öztürk, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5323-5334
Open Access | Times Cited: 6
Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
Amisha S. Raikar, J.H. Andrew, Pranjali Prabhu Dessai, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 6
Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network
Manuel López-Martín, Ángel Nevado, Belén Carro
Artificial Intelligence in Medicine (2020) Vol. 107, pp. 101924-101924
Open Access | Times Cited: 46
Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms
Thomas H. Alderson, Arun L.W. Bokde, J. A. Scott Kelso, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3212-3234
Open Access | Times Cited: 43
Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks
Yi Hao Chan, Conghao Wang, Wei Kwek Soh, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 22
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