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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 for genetic prediction of psychiatric disorders: a systematic review
Matthew Bracher‐Smith, Karen Crawford, Valentina Escott‐Price
Molecular Psychiatry (2020) Vol. 26, Iss. 1, pp. 70-79
Open Access | Times Cited: 118

Showing 26-50 of 118 citing articles:

Distinct correlation network of clinical characteristics in suicide attempters having adolescent major depressive disorder with non-suicidal self-injury
Bo Peng, Ruoxi Wang, Wenlong Zuo, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment
Uchenna E Okpete, Haewon Byeon
World Journal of Psychiatry (2024) Vol. 14, Iss. 8, pp. 1148-1164
Open Access | Times Cited: 4
Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega‐Analysis From the ENIGMA‐MDD Working Group
Maarten G. Poirot, Daphne E. Boucherie, Matthan W.A. Caan, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 1
Open Access
Bayesian predictive system for assessing the damage intensity of residential masonry buildings under the impact of continuous ground deformation
Janusz Rusek, L. Chomacki, Leszek Słowik
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning-Based Diagnosis of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study
Jihoo Kim, Kang Hyeon Lim, Euijin Kim, et al.
Ear and Hearing (2025) Vol. 46, Iss. 3, pp. 770-781
Closed Access
Artificial Intelligence and Machine Learning for IoB
P. Selvakumar, T. C. Manjunath
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 95-122
Closed Access
Prospects for the Use of Machine Learning for Mood Disorders
Ekaterina Mosolova, A. Е. Alfimov, E G Kostyukova, et al.
Digital Diagnostics (2025)
Open Access
Machine learning for prediction of childhood mental health problems in social care
Ryan Crowley, Katherine Parkin, Emma Rocheteau, et al.
BJPsych Open (2025) Vol. 11, Iss. 3
Open Access
Redefining Autism Subtypes: a machine learning approach leveraging topological data analysis, network measures and hemispheric lateralization
Caroline L. Alves, Loriz Francisco Sallum, Patrícia de Carvalho Aguiar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Support Vector Machine-Based Schizophrenia Classification Using Morphological Information from Amygdaloid and Hippocampal Subregions
Yingying Guo, Jianfeng Qiu, Weizhao Lu
Brain Sciences (2020) Vol. 10, Iss. 8, pp. 562-562
Open Access | Times Cited: 31
Convergent learning–based model for leukemia classification from gene expression
Pradeep Kumar Mallick, Saumendra Kumar Mohapatra, Gyoo‐Soo Chae, et al.
Personal and Ubiquitous Computing (2020) Vol. 27, Iss. 3, pp. 1103-1110
Open Access | Times Cited: 29
Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
Andrea Perrottelli, Giulia Maria Giordano, Francesco Brando, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2193-2193
Open Access | Times Cited: 18
Angle Basis: a Generative Model and Decomposition for Functional Connectivity
Anton Orlichenko, Gang Qu, Ziyu Zhou, et al.
(2023)
Open Access | Times Cited: 9
Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease
Ariana Soares Dias Portela, Vrinda Saxena, Eric H. Rosenn, et al.
Molecular Nutrition & Food Research (2024) Vol. 68, Iss. 13
Open Access | Times Cited: 3
A review of model evaluation metrics for machine learning in genetics and genomics
Catriona Miller, Theo Portlock, Denis M. Nyaga, et al.
Frontiers in Bioinformatics (2024) Vol. 4
Open Access | Times Cited: 3
Artificial intelligence in myopia: current and future trends
Li Lian Foo, Wei Yan Ng, Gilbert Yong San Lim, et al.
Current Opinion in Ophthalmology (2021) Vol. 32, Iss. 5, pp. 413-424
Closed Access | Times Cited: 23
Machine learning for the life-time risk prediction of Alzheimer’s disease: a systematic review
Thomas W Rowe, Ioanna Katzourou, Joshua Stevenson‐Hoare, et al.
Brain Communications (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 22
Machine Learning Approaches and Applications in Genome Wide Association Study for Alzheimer’s Disease: A Systematic Review
Abbas Saad Alatrany, Abir Hussain, Jamila Mustafina, et al.
IEEE Access (2022) Vol. 10, pp. 62831-62847
Open Access | Times Cited: 15
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
Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review
Benedikt Langenberger, Andreas Thoma, Verena Vogt
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
From genetics to systems biology of stress-related mental disorders
Shareefa Dalvie, Chris Chatzinakos, Obada Al Zoubi, et al.
Neurobiology of Stress (2021) Vol. 15, pp. 100393-100393
Open Access | Times Cited: 20
Deep learning–based integration of genetics with registry data for stratification of schizophrenia and depression
Rosa Lundbye Allesøe, Ron Nudel, Wesley K. Thompson, et al.
Science Advances (2022) Vol. 8, Iss. 26
Open Access | Times Cited: 13
Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry
Amjad Rehman, Muhammad Mujahid, Tanzila Saba, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 1
Closed Access | Times Cited: 2
Artificial Intelligence and Schizophrenia: Crossing the Limits of the Human Brain
António Melo, Joana Romão, Tiago Duarte
IntechOpen eBooks (2024)
Open Access | Times Cited: 2
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

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