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:

Machine Learning-Based Electroencephalographic Phenotypes of Schizophrenia and Major Depressive Disorder
Kuk‐In Jang, Sungkean Kim, Soo Young Kim, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 14

Showing 14 citing articles:

Resting-state EEG dynamic functional connectivity distinguishes non-psychotic major depression, psychotic major depression and schizophrenia
Hui Chen, Yanqin Lei, Rihui Li, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 4, pp. 1088-1098
Open Access | Times Cited: 15

P300 parameters in major depressive disorder: A systematic review and meta-analysis
Mehmet Kemal Arıkan, Reyhan İlhan, Özden Orhan, et al.
The World Journal of Biological Psychiatry (2024) Vol. 25, Iss. 4, pp. 255-266
Closed Access | Times Cited: 8

Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 19

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment
Maria Ferrara, Giorgia Franchini, Melissa Funaro, et al.
Current Psychiatry Reports (2022) Vol. 24, Iss. 12, pp. 925-936
Open Access | Times Cited: 15

Differentiation between suicide attempt and suicidal ideation in patients with major depressive disorder using cortical functional network
Sungkean Kim, Kuk‐In Jang, Ho Sung Lee, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2024) Vol. 132, pp. 110965-110965
Closed Access | Times Cited: 1

Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity
Yongcong Li, Banghua Yang, Jun Ma, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 2373-2386
Closed Access | Times Cited: 1

EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation
Elif Sarisik, David Popovic, Daniel Keeser, et al.
Schizophrenia Bulletin (2024)
Open Access | Times Cited: 1

Diagnosis of Schizophrenia Based on the Data of Various Modalities: Biomarkers and Machine Learning Techniques (Review)
M.G. Sharaev, I.K. Malashenkova, A.V. Maslennikova, et al.
Sovremennye tehnologii v medicine (2022) Vol. 14, Iss. 5, pp. 53-53
Open Access | Times Cited: 7

How to Solve Clinical Challenges in Mood Disorders; Machine Learning Approaches Using Electrophysiological Markers
Young Wook Song, Ho Sung Lee, Sungkean Kim, et al.
Clinical Psychopharmacology and Neuroscience (2024) Vol. 22, Iss. 3, pp. 416-430
Open Access

Aberrant resting-state voxel-mirrored homotopic connectivity in major depressive disorder with and without anxiety
Hongxiang Jiang, YanPing Zeng, Peidong He, et al.
Journal of Affective Disorders (2024) Vol. 368, pp. 191-199
Closed Access

Tendencias y perspectivas en la detección de depresión mediante el análisis de señales Electroencefalográficas (EEG): una Revisión Sistemática de la Literatura.
Teofilo Habiram Obispo Bustillos, Nimrod González-Franco, Gabriel González, et al.
XIKUA Boletín Científico de la Escuela Superior de Tlahuelilpan (2023) Vol. 11, Iss. 22, pp. 1-11
Open Access

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