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:

Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia
Dominic Dwyer, Carlos Cabral, Lana Kambeitz‐Ilankovic, et al.
Schizophrenia Bulletin (2018) Vol. 44, Iss. 5, pp. 1060-1069
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
Sarah Graham, Colin A. Depp, Ellen Lee, et al.
Current Psychiatry Reports (2019) Vol. 21, Iss. 11
Open Access | Times Cited: 595
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Yuhui Du, Zening Fu, Jing Sui, et al.
NeuroImage Clinical (2020) Vol. 28, pp. 102375-102375
Open Access | Times Cited: 335
Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression
Nikolaos Koutsouleris, Lana Kambeitz‐Ilankovic, Stephan Ruhrmann, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 11, pp. 1156-1156
Open Access | Times Cited: 289
Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk
Dag Alnæs, Tobias Kaufmann, Dennis van der Meer, et al.
JAMA Psychiatry (2019) Vol. 76, Iss. 7, pp. 739-739
Open Access | Times Cited: 245
Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning
Ganesh B. Chand, Dominic Dwyer, Güray Erus, et al.
Brain (2020) Vol. 143, Iss. 3, pp. 1027-1038
Open Access | Times Cited: 224
Childhood Trauma in Schizophrenia: Current Findings and Research Perspectives
David Popovic, Andrea Schmitt, Lalit Kaurani, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 156
Towards a brain‐based predictome of mental illness
Barnaly Rashid, Vince D. Calhoun
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3468-3535
Open Access | Times Cited: 149
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 127
Evidence for embracing normative modeling
Saige Rutherford, Pieter Barkema, Ivy F. Tso, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 75
Neuroimaging biomarkers define neurophysiological subtypes with distinct trajectories in schizophrenia
Yuchao Jiang, Jijun Wang, Enpeng Zhou, et al.
Nature Mental Health (2023) Vol. 1, Iss. 3, pp. 186-199
Closed Access | Times Cited: 46
Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort
Jinglei Lv, Maria A. Di Biase, Robin Cash, et al.
Molecular Psychiatry (2020) Vol. 26, Iss. 7, pp. 3512-3523
Open Access | Times Cited: 115
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Junhao Wen, Erdem Varol, Aristeidis Sotiras, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102304-102304
Open Access | Times Cited: 56
Waiting for a digital therapist: three challenges on the path to psychotherapy delivered by artificial intelligence
J. P. Grodniewicz, Mateusz Hohol
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 36
Biological subtyping of psychiatric syndromes as a pathway for advances in drug discovery and personalized medicine
Wenjing Zhang, John A. Sweeney, Jeffrey R. Bishop, et al.
Nature Mental Health (2023) Vol. 1, Iss. 2, pp. 88-99
Closed Access | Times Cited: 29
A scoping review of automatic and semi-automatic MRI segmentation in human brain imaging
Minh Chau, Han X. Vu, Tanmoy Debnath, et al.
Radiography (2025) Vol. 31, Iss. 2, pp. 102878-102878
Open Access | Times Cited: 1
Improving individual predictions: Machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases)
Hugo G. Schnack
Schizophrenia Research (2017) Vol. 214, pp. 34-42
Closed Access | Times Cited: 73
Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice
Stefania Tognin, Hendrika H. van Hell, Kate Merritt, et al.
Schizophrenia Bulletin (2019) Vol. 46, Iss. 2, pp. 432-441
Open Access | Times Cited: 70
Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
Laurie‐Anne Claude, Josselin Houenou, Édouard Duchesnay, et al.
Bipolar Disorders (2020) Vol. 22, Iss. 4, pp. 334-355
Open Access | Times Cited: 54
Computing schizophrenia: ethical challenges for machine learning in psychiatry
Georg Starke, Eva De Clercq, Stefan Borgwardt, et al.
Psychological Medicine (2020) Vol. 51, Iss. 15, pp. 2515-2521
Open Access | Times Cited: 53
Persistent and distressing psychotic-like experiences using adolescent brain cognitive development℠ study data
Nicole R. Karcher, Rachel Loewy, Mark Savill, et al.
Molecular Psychiatry (2021) Vol. 27, Iss. 3, pp. 1490-1501
Open Access | Times Cited: 44
Two distinct subtypes of obsessive compulsive disorder revealed by heterogeneity through discriminative analysis
Shaoqiang Han, Yinhuan Xu, Hui‐Rong Guo, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 10, pp. 3037-3046
Open Access | Times Cited: 34
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20343-20405
Closed Access | Times Cited: 29
Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium
Dominic Dwyer, Ganesh B. Chand, Alessandro Pigoni, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 5, pp. 2008-2017
Open Access | Times Cited: 20
Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm
Yuchao Jiang, Cheng Luo, Jijun Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Morphological Profiling of Schizophrenia: Cluster Analysis of MRI-Based Cortical Thickness Data
Yunzhi Pan, Weidan Pu, Xudong Chen, et al.
Schizophrenia Bulletin (2019) Vol. 46, Iss. 3, pp. 623-632
Open Access | Times Cited: 54
Page 1 - Next Page

Scroll to top