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:

A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods
Kai Sun, Zhenyu Liu, Guanmao Chen, et al.
Journal of Affective Disorders (2021) Vol. 300, pp. 1-9
Closed Access | Times Cited: 16

Showing 16 citing articles:

Major depressive disorder: hypothesis, mechanism, prevention and treatment
Lulu Cui, Shu Li, Siman Wang, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 234

Regional amplitude abnormities in the major depressive disorder: A resting-state fMRI study and support vector machine analysis
Qing Chen, Yanmeng Bi, Xiaohua Zhao, et al.
Journal of Affective Disorders (2022) Vol. 308, pp. 1-9
Closed Access | Times Cited: 26

Diagnosis of Major Depressive Disorder Using Machine Learning Based on Multisequence MRI Neuroimaging Features
Qinghe Li, Fanghui Dong, Qun Gai, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 5, pp. 1420-1430
Closed Access | Times Cited: 11

Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI
Peishan Dai, Xiaoyan Zhou, Tong Xiong, et al.
The Cerebellum (2022) Vol. 22, Iss. 5, pp. 781-789
Closed Access | Times Cited: 16

Altered brain function in classical trigeminal neuralgia patients: ALFF, ReHo, and DC static- and dynamic-frequency study
Xiuhong Ge, Luoyu Wang, Juncheng Yan, et al.
Cerebral Cortex (2023)
Closed Access | Times Cited: 9

Multimodal Connectivity-Based Individual Parcellation and Analysis for Humans and Rhesus Monkeys
Yue Cui, Chengyi Li, Yuheng Lu, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3343-3353
Closed Access | Times Cited: 3

The Search for Clinically Useful Neuroimaging Markers of Depression—A Worthwhile Pursuit or a Futile Quest?
Lianne Schmaal
JAMA Psychiatry (2022) Vol. 79, Iss. 9, pp. 845-845
Closed Access | Times Cited: 10

Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data
Go Okada, Toshinori Yoshioka, Ayumu Yamashita, et al.
Journal of Affective Disorders (2023) Vol. 326, pp. 262-266
Open Access | Times Cited: 5

Alterations in orbitofrontal cortex communication relate to suicidal attempts in patients with major depressive disorder
Xiaotong Wen, Junhui Zhang, Guodong Wei, et al.
Journal of Affective Disorders (2024) Vol. 369, pp. 681-695
Closed Access | Times Cited: 1

Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment
Heng Kong, Junren Pan, Yanyan Shen, et al.
Lecture notes in computer science (2022), pp. 361-375
Open Access | Times Cited: 3

Identification of multimodal brain imaging biomarkers in first-episode drugs-naive major depressive disorder through a multi-site large-scale MRI consortium data
Peishan Dai, Yun Shi, Xiaoyan Zhou, et al.
Journal of Affective Disorders (2024) Vol. 369, pp. 364-372
Closed Access

RP-Rs-fMRIomics as a Novel Imaging Analysis Strategy to Empower Diagnosis of Brain Gliomas
Xiaoxue Liu, Jianrui Li, Qiang Xu, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2818-2818
Open Access | Times Cited: 2

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