Open Access Helper

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:

Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning
Sunil V. Kalmady, Russell Greiner, Rimjhim Agrawal, et al.
Schizophrenia (2019) Vol. 5, Iss. 1
Open Access | Times Cited: 105

Showing 26-50 of 105 citing articles:

Salp Chain-Based Optimization of Support Vector Machines and Feature Weighting for Medical Diagnostic Information Systems
Ala’ M. Al-Zoubi, Ali Asghar Heidari, Maria Habib, et al.
Algorithms for intelligent systems (2019), pp. 11-34
Closed Access | Times Cited: 41
Long Non-coding RNAs in the Regulation of the Immune Response and Trained Immunity
Manuel Flores-Concha, Ángel Oñate
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 38
AI enabled suicide prediction tools: a qualitative narrative review
Daniel D’Hotman, Erwin Loh
BMJ Health & Care Informatics (2020) Vol. 27, Iss. 3, pp. e100175-e100175
Open Access | Times Cited: 37
Artificial intelligence in dermatology and healthcare: An overview
Varadraj V Pai, Rohini Bhat Pai
Indian Journal of Dermatology Venereology and Leprology (2021), pp. 1-11
Open Access | Times Cited: 31
Application of machine learning methods in predicting schizophrenia and bipolar disorders: A systematic review
Mahdieh Montazeri, Mitra Montazeri, Kambiz Bahaadinbeigy, et al.
Health Science Reports (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 20
Primary care physicians’ perceptions of artificial intelligence systems in the care of adolescents’ mental health
Pooria Ghadiri, Mark J. Yaffe⃰, Alayne M. Adams, et al.
BMC Primary Care (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
Magnetic resonance imaging–based machine learning classification of schizophrenia spectrum disorders: a meta‐analysis
Fabio Di Camillo, David Antonio Grimaldi, Giulia Cattarinussi, et al.
Psychiatry and Clinical Neurosciences (2024)
Open Access | Times Cited: 4
Balancing Ethics and Opportunities: The Role of AI in Psychotherapy and Counselling
Alexandra Bloch‐Atefi
Deleted Journal (2025)
Closed Access
AI Integration in Mental Health Services: Examining Trends in the USA and Peoria, Illinois
Margaret M. Hinrichs, Jieshu Wang, Cathy Roe, et al.
(2025), pp. 255-275
Open Access
The Search for the Most Informative Areas for the Binary Classification of Schizophrenia Using Resting fMRI Data Based in a Method for Extracting Functionally Homogeneous Areas
Artur Zhemchuzhnikov, Sergey Kartashov, Stanislav Kozlov, et al.
Neuroscience and Behavioral Physiology (2025)
Closed Access
Augmenting Mental Healthcare Using Artificial Intelligence Advancements
Sanjay Theodore, Abdullah Lodhi, Prashant Upadhyay, et al.
IGI Global eBooks (2025), pp. 127-144
Closed Access
Classification and Feature Selection of Autism Spectrum Disorder Using MRI Data: A Machine Learning Approach
Gulshan Chauhan, A. Jiran Meitei, Budhachandra Khundrakpam, et al.
Journal of Technology in Behavioral Science (2025)
Closed Access
Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy
Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, et al.
Digital Health (2025) Vol. 11
Open Access
Artificial intelligence in mental healthcare: an overview and future perspectives
Kevin W. Jin, Qiwei Li, Yang Xie, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 10
Discrimination in the clinical diagnosis between patients with schizophrenia and healthy controls using eye movement and cognitive functions
Kosuke Okazaki, Kenichiro Miura, Junya Matsumoto, et al.
Psychiatry and Clinical Neurosciences (2023) Vol. 77, Iss. 7, pp. 393-400
Open Access | Times Cited: 9
Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture
Qianhui Xu, Leilei Zhou, Chunhua Xing, et al.
NeuroImage (2024) Vol. 290, pp. 120566-120566
Open Access | Times Cited: 3
Unraveling multi‐scale neuroimaging biomarkers and molecular foundations for schizophrenia: A combined multivariate pattern analysis and transcriptome‐neuroimaging association study
Yanmin Peng, Chao Chai, Kaizhong Xue, et al.
CNS Neuroscience & Therapeutics (2024) Vol. 30, Iss. 8
Open Access | Times Cited: 3
RobIn: A robust interpretable deep network for schizophrenia diagnosis
Daniel Organisciak, Hubert P. H. Shum, E. O. Nwoye, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117158-117158
Open Access | Times Cited: 15
Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report
Jacqueline K. Harris, Stefanie Hassel, Andrew D. Davis, et al.
NeuroImage Clinical (2022) Vol. 35, pp. 103120-103120
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
Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study
Jinyu Zang, Yuanyuan Huang, Lingyin Kong, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 18
Optimized adaptive neuro-fuzzy inference system based on hybrid grey wolf-bat algorithm for schizophrenia recognition from EEG signals
Kishore Balasubramanian, K. C. Ramya, K. Gayathri Devi
Cognitive Neurodynamics (2022) Vol. 17, Iss. 1, pp. 133-151
Open Access | Times Cited: 13
Diagnostic model development for schizophrenia based on peripheral blood mononuclear cell subtype-specific expression of metabolic markers
Jihan K. Zaki, Santiago G. Lago, Nitin Rustogi, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Views on Working with Information in a Semi-Digital Society: Its Possibility to Develop as Open Innovation Culture
Mikhail V. Vinichenko, Marina V. Rybakova, Oxana L. Chulanova, et al.
Journal of Open Innovation Technology Market and Complexity (2021) Vol. 7, Iss. 2, pp. 160-160
Open Access | Times Cited: 16
Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning
Sunil V. Kalmady, Animesh Kumar Paul, Janardhanan C. Narayanaswamy, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 7, Iss. 7, pp. 735-746
Open Access | Times Cited: 16

Scroll to top