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:

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
Kun Zhao, Qiang Zheng, Martin Dyrba, et al.
Advanced Science (2022) Vol. 9, Iss. 12
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Four Distinct Subtypes of Alzheimer’s Disease Based on Resting-State Connectivity Biomarkers
Pindong Chen, Hongxiang Yao, Betty M. Tijms, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 9, pp. 759-769
Closed Access | Times Cited: 45

Individual‐level brain morphological similarity networks: Current methodologies and applications
Mengjing Cai, Juanwei Ma, Z. Wang, et al.
CNS Neuroscience & Therapeutics (2023) Vol. 29, Iss. 12, pp. 3713-3724
Open Access | Times Cited: 33

A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
Kun Zhao, Pindong Chen, Aaron Alexander‐Bloch, et al.
EClinicalMedicine (2023) Vol. 65, pp. 102276-102276
Open Access | Times Cited: 17

Edge-centric effective connection network based on muti-modal MRI for the diagnosis of Alzheimer’s disease
Shunqi Zhang, Haiyan Zhao, Weiping Wang, et al.
Neurocomputing (2023) Vol. 552, pp. 126512-126512
Closed Access | Times Cited: 15

A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, et al.
NeuroImage (2025), pp. 121077-121077
Open Access

An Auxiliary Diagnosis Method for Mild Cognitive Impairment Based on Structural Magnetic Resonance Image
Haiming Li, Linjin Wang, Jiangtao He, et al.
Lecture notes in computer science (2025), pp. 59-68
Closed Access

Individualized Texture Similarity Network in Schizophrenia
Hao Ding, Yu Zhang, Yingying Xie, et al.
Biological Psychiatry (2024) Vol. 96, Iss. 3, pp. 176-187
Closed Access | Times Cited: 4

Application of radiomics in ischemic stroke
Jie Yang, Huabo Cai, Ning Liu, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 4
Open Access | Times Cited: 4

Structure–function coupling reveals the brain hierarchical structure dysfunction in Alzheimer's disease: A multicenter study
Yibao Sun, Pan Wang, Kun Zhao, et al.
Alzheimer s & Dementia (2024) Vol. 20, Iss. 9, pp. 6305-6315
Open Access | Times Cited: 4

Integrated cerebellar radiomic‐network model for predicting mild cognitive impairment in Alzheimer's disease
Yini Chen, Yiwei Qi, Yiying Hu, et al.
Alzheimer s & Dementia (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 4

Radiomics-based Modelling Unveils Cerebellar Involvement in Parkinson’s Disease
Yini Chen, Yiwei Qi, Yiying Hu, et al.
The Cerebellum (2025) Vol. 24, Iss. 2
Closed Access

Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics
Zhuqing Long, Jie Li, Jiang-hua Fan, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 10

Morphological connectivity differences in Alzheimer's disease correlate with gene transcription and cell‐type
Huiying Yu, Yanhui Ding, Yongbin Wei, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 18, pp. 6364-6374
Open Access | Times Cited: 9

Identification of Distinct Brain MRI Phenotypes and Their Association With Long-Term Dementia Risk in Community-Dwelling Older Adults
Jasmin Annica Keller, Sigurður Sigurðsson, Bárbara Schmitz Abecassis, et al.
Neurology (2024) Vol. 102, Iss. 7
Open Access | Times Cited: 3

Graph neural networks for image‐guided disease diagnosis: A review
Lin Zhang, Yan Zhao, Tongtong Che, et al.
iRadiology (2023) Vol. 1, Iss. 2, pp. 151-166
Open Access | Times Cited: 8

Altered large‐scale dynamic connectivity patterns in Alzheimer's disease and mild cognitive impairment patients: A machine learning study
Rixing Jing, Pindong Chen, Yongbin Wei, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 9, pp. 3467-3480
Open Access | Times Cited: 7

Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?
Sandhitsu R. Das, Ademola E. Ilesanmi, David A. Wolk, et al.
Magnetic Resonance in Medical Sciences (2024) Vol. 23, Iss. 3, pp. 367-376
Open Access | Times Cited: 2

Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer’s disease
Kun Zhao, Dawei Wang, Dong Wang, et al.
Science Advances (2024) Vol. 10, Iss. 41
Open Access | Times Cited: 2

Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles
Dawei Wang, Zhuangzhuang Li, Kun Zhao, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 15
Open Access | Times Cited: 2

Page 1 - Next Page

Scroll to top