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:

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Junhao Wen, Erdem Varol, Aristeidis Sotiras, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102304-102304
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
Junhao Wen, Cynthia H.Y. Fu, Duygu Tosun, et al.
JAMA Psychiatry (2022) Vol. 79, Iss. 5, pp. 464-464
Open Access | Times Cited: 85

A review on semi-supervised clustering
Jianghui Cai, Jing Hao, Haifeng Yang, et al.
Information Sciences (2023) Vol. 632, pp. 164-200
Closed Access | Times Cited: 72

Neuroimaging biomarkers define neurophysiological subtypes with distinct trajectories in schizophrenia
Yuchao Jiang, Jijun Wang, Enpeng Zhou, et al.
Nature Mental Health (2023) Vol. 1, Iss. 3, pp. 186-199
Closed Access | Times Cited: 45

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling
Serena Verdi, Seyed Mostafa Kia, Keir Yong, et al.
Neurology (2023) Vol. 100, Iss. 24
Open Access | Times Cited: 27

Brain aging patterns in a large and diverse cohort of 49,482 individuals
Zhijian Yang, Junhao Wen, Güray Erus, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 3015-3026
Open Access | Times Cited: 13

Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel
Christine Ahrends, Mark W. Woolrich, Diego Vidaurre
eLife (2025) Vol. 13
Open Access | Times Cited: 1

Current Approaches in Computational Psychiatry for the Data-Driven Identification of Brain-Based Subtypes
Leyla R. Brucar, Eric Feczko, Damien A. Fair, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 8, pp. 704-716
Open Access | Times Cited: 29

Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm
Yuchao Jiang, Cheng Luo, Jijun Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Junhao Wen, Mathilde Antoniades, Zhijian Yang, et al.
Biological Psychiatry (2024) Vol. 96, Iss. 7, pp. 564-584
Open Access | Times Cited: 5

Identifying two distinct neuroanatomical subtypes of first-episode depression using heterogeneity through discriminative analysis
Yuan Chen, Yi Chen, Ruiping Zheng, et al.
Journal of Affective Disorders (2024) Vol. 349, pp. 479-485
Closed Access | Times Cited: 4

Improved safe semi-supervised clustering based on capped ℓ21 norm
Haitao Gan, Yang Zhi, M. Shi, et al.
Fuzzy Sets and Systems (2025) Vol. 505, pp. 109276-109276
Closed Access

Efficient diagnosis of retinal disorders using dual-branch semi-supervised learning (DB-SSL): An enhanced multi-class classification approach
Muhammad Hammad Malik, Zishuo Wan, Yu Gao, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 121, pp. 102494-102494
Closed Access

Pseudo-labeling generative adversarial networks for medical image classification
Jiawei Mao, Xuesong Yin, Guodao Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105729-105729
Closed Access | Times Cited: 19

An Alzheimer’s disease category progression sub-grouping analysis using manifold learning on ADNI
Dustin van der Haar, Ahmed A. Moustafa, Samuel L. Warren, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

A review of neuroimaging-based data-driven approach for Alzheimer’s disease heterogeneity analysis
Lingyu Liu, Shen Sun, Wenjie Kang, et al.
Reviews in the Neurosciences (2023) Vol. 35, Iss. 2, pp. 121-139
Closed Access | Times Cited: 8

Subtyping Brain Diseases from Imaging Data
Junhao Wen, Erdem Varol, Zhijian Yang, et al.
Neuromethods (2023), pp. 491-510
Open Access | Times Cited: 7

Identifying Progression-Specific Alzheimer’s Subtypes Using Multimodal Transformer
Diego Machado Reyes, Hanqing Chao, Juergen Hahn, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 4, pp. 421-421
Open Access | Times Cited: 2

The challenges of using machine learning models in psychiatric research and clinical practice
Dijana Ostojic, Paris Alexandros Lalousis, Gary Donohoe, et al.
European Neuropsychopharmacology (2024) Vol. 88, pp. 53-65
Open Access | Times Cited: 2

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