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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:

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 3, pp. 644-655
Open Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 170
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan, Mingxia Liu
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 3, pp. 1173-1185
Open Access | Times Cited: 161
rs-fMRI and machine learning for ASD diagnosis: a systematic review and meta-analysis
Caio Pinheiro Santana, Emerson Carvalho, Igor Duarte Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 80
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 79
Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 41
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network
Mingliang Wang, Chunfeng Lian, Dongren Yao, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 8, pp. 2241-2252
Open Access | Times Cited: 118
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey
Taban Eslami, Fahad Almuqhim, Joseph S. Raiker, et al.
Frontiers in Neuroinformatics (2021) Vol. 14
Open Access | Times Cited: 89
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data
Yongsheng Pan, Mingxia Liu, Yong Xia, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 10, pp. 6839-6853
Open Access | Times Cited: 79
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 9, pp. 2965-2975
Open Access | Times Cited: 73
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network
Xuegang Song, Feng Zhou, Alejandro F. Frangi, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 354-367
Closed Access | Times Cited: 70
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI
Nan Wang, Dongren Yao, Lizhuang Ma, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102279-102279
Closed Access | Times Cited: 61
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis
Liang Peng, Nan Wang, Jie Xu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 2, pp. 391-402
Open Access | Times Cited: 31
Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder
Sabah Nisar, Mohammad Haris
Molecular Psychiatry (2023) Vol. 28, Iss. 12, pp. 4995-5008
Open Access | Times Cited: 26
Residual Graph Transformer for Autism Spectrum Disorder Prediction
Y. N. Wang, Haixia Long, Tao Bo, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108065-108065
Closed Access | Times Cited: 11
The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
i b, P. M. Durai Raj Vincent
Computer Science Review (2025) Vol. 56, pp. 100718-100718
Closed Access | Times Cited: 1
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis
Biao Jie, Mingxia Liu, Chunfeng Lian, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101709-101709
Closed Access | Times Cited: 63
Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation
Jac Fredo Agastinose Ronickom, John Thomas, Prasanth Thangavel, et al.
Journal of Neuroscience Methods (2020) Vol. 345, pp. 108884-108884
Closed Access | Times Cited: 57
A Novel Machine Learning Based Framework for Detection of Autism Spectrum Disorder (ASD)
Hamza Sharif, Rizwan Ahmed Khan
Applied Artificial Intelligence (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 52
Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity
Mwiza Kunda, Shuo Zhou, Gaolang Gong, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 1, pp. 55-65
Open Access | Times Cited: 36
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification
Yuqi Fang, Mingliang Wang, Guy G. Potter, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102707-102707
Open Access | Times Cited: 33
A comparative assessment of most widely used machine learning classifiers for analysing and classifying autism spectrum disorder in toddlers and adolescents
Jyotismita Talukdar, Deba Kanta Gogoi, Thipendra P. Singh
Healthcare Analytics (2023) Vol. 3, pp. 100178-100178
Open Access | Times Cited: 22
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI
Mingliang Wang, Jiashuang Huang, Mingxia Liu, et al.
Medical Image Analysis (2021) Vol. 71, pp. 102063-102063
Closed Access | Times Cited: 40
Application of Artificial Intelligence in the MRI Classification Task of Human Brain Neurological and Psychiatric Diseases: A Scoping Review
Zhao Zhang, Guangfei Li, Yong Xu, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1402-1402
Open Access | Times Cited: 40
Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning
Duan Yu-mei, Weidong Zhao, Cheng Luo, et al.
Frontiers in Human Neuroscience (2022) Vol. 15
Open Access | Times Cited: 26
Multi-site diagnostic classification of Autism spectrum disorder using adversarial deep learning on resting-state fMRI
Yan Tang, Gan Tong, Xing Xiong, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104892-104892
Closed Access | Times Cited: 16
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