Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model
Yafeng Zhan, Jianze Wei, Jian Liang, et al.
American Journal of Psychiatry (2020) Vol. 178, Iss. 1, pp. 65-76
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

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: 75
Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study
Zhaobin Wang, Xiaocheng Zhou, Yuanyuan Gui, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23
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
A comprehensive review of predictive analytics models for mental illness using machine learning algorithms
Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100350-100350
Open Access | Times Cited: 8
Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Ming Xu, Vince D. Calhoun, Rongtao Jiang, et al.
Journal of Neuroscience Methods (2021) Vol. 361, pp. 109271-109271
Open Access | Times Cited: 42
Understanding autism spectrum disorders with animal models: applications, insights, and perspectives
Li Zhu, Yuanxiang Zhu, Lijun Gu, et al.
动物学研究 (2021) Vol. 42, Iss. 6, pp. 800-823
Open Access | Times Cited: 42
Autism Spectrum Disorder Diagnosis: A Comprehensive Review of Machine Learning Approaches
D. Venkata Siva Prasad, Suman Bhatia
(2025), pp. 89-101
Closed Access
Large-scale brain functional network abnormalities in social anxiety disorder
Xun Zhang, Xun Yang, Baolin Wu, et al.
Psychological Medicine (2022) Vol. 53, Iss. 13, pp. 6194-6204
Open Access | Times Cited: 21
Identification of de novo Mutations in the Chinese Autism Spectrum Disorder Cohort via Whole-Exome Sequencing Unveils Brain Regions Implicated in Autism
Bo Yuan, Mengdi Wang, Xinran Wu, et al.
Neuroscience Bulletin (2023) Vol. 39, Iss. 10, pp. 1469-1480
Closed Access | Times Cited: 12
Genetically engineered bacteria: a new frontier in targeted drug delivery
Saba Fooladi, Navid Rabiee, Siavash Iravani
Journal of Materials Chemistry B (2023) Vol. 11, Iss. 42, pp. 10072-10087
Closed Access | Times Cited: 12
Correlation and predictive ability of sensory characteristics and social interaction in children with autism spectrum disorder
Jinhe Zhai, Xiaoxue Li, Yong Zhou, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 11
Mapping brain-wide excitatory projectome of primate prefrontal cortex at submicron resolution and comparison with diffusion tractography
Mingchao Yan, Wenwen Yu, Qian Lv, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 15
Disrupted brain gray matter connectome in social anxiety disorder: a novel individualized structural covariance network analysis
Xun Zhang, Han Lai, Qingyuan Li, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 16, pp. 9627-9638
Closed Access | Times Cited: 8
Normative Analysis of Individual Brain Differences Based on a Population MRI-Based Atlas of Cynomolgus Macaques
Qiming Lv, Mingchao Yan, Xiangyu Shen, et al.
Cerebral Cortex (2020) Vol. 31, Iss. 1, pp. 341-355
Open Access | Times Cited: 21
Detecting and Extracting Brain Hemorrhages from CT Images Using Generative Convolutional Imaging Scheme
V. Pandimurugan, S. Rajasoundaran, Sidheswar Routray, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 13
A Systematic Review of Genetics- and Molecular-Pathway-Based Machine Learning Models for Neurological Disorder Diagnosis
Nasser Ali Aljarallah, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 12, pp. 6422-6422
Open Access | Times Cited: 2
State‐specific Regulation of Electrical Stimulation in the Intralaminar Thalamus of Macaque Monkeys: Network and Transcriptional Insights into Arousal
Zhao Zhang, Yi‐Chun Huang, Xiaoyu Chen, et al.
Advanced Science (2024) Vol. 11, Iss. 33
Open Access | Times Cited: 2
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning
Shijun Li, Ziyang Tang, Nanxin Jin, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 12
Noncoding transcripts are linked to brain resting-state activity in non-human primates
Wei Wang, Tingting Bo, Ge Zhang, et al.
Cell Reports (2023) Vol. 42, Iss. 6, pp. 112652-112652
Open Access | Times Cited: 6
Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination–Graph Neural Network (RFE–GNN) and Phenotypic Feature Extractor (PFE)
Jiahong Yang, Miaojun Hu, Yao Hu, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9647-9647
Open Access | Times Cited: 6
A Review on Predicting Autism Spectrum Disorder(ASD) meltdown using Machine Learning Algorithms
Sara Karim, Nazina Akter, Muhammed J. A. Patwary, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 15
Brain connectivity abnormalities and treatment‐induced restorations in patients with cervical dystonia
Liang Feng, Dazhi Yin, Xiangbin Wang, et al.
European Journal of Neurology (2020) Vol. 28, Iss. 5, pp. 1537-1547
Closed Access | Times Cited: 13
Quantitative Expression of Latent Disease Factors in Individuals Associated with Psychopathology Dimensions and Treatment Response
Shaoling Zhao, Qian Lv, Ge Zhang, et al.
Neuroscience Bulletin (2024)
Open Access | Times Cited: 1
Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification
Jinxiong Fang, Dafang Zhang, Kun Xie, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access | Times Cited: 1
Common and differential connectivity profiles of deep brain stimulation and capsulotomy in refractory obsessive-compulsive disorder
Xiaoyu Chen, Zhen Wang, Qian Lv, et al.
Molecular Psychiatry (2021) Vol. 27, Iss. 2, pp. 1020-1030
Closed Access | Times Cited: 9
Page 1 - Next Page

Scroll to top