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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:

Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis
Nikolaos Koutsouleris, Thomas Wobrock, Birgit Guse, et al.
Schizophrenia Bulletin (2017) Vol. 44, Iss. 5, pp. 1021-1034
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

Will Machine Learning Enable Us to Finally Cut the Gordian Knot of Schizophrenia
Neeraj Tandon, Rajiv Tandon
Schizophrenia Bulletin (2018) Vol. 44, Iss. 5, pp. 939-941
Open Access | Times Cited: 31
Data-Driven Approaches to Neuroimaging Analysis to Enhance Psychiatric Diagnosis and Therapy
Xiaolong Zhang, Urs Braun, Heike Tost, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2020) Vol. 5, Iss. 8, pp. 780-790
Open Access | Times Cited: 26
Baseline structural and functional magnetic resonance imaging predicts early treatment response in schizophrenia with radiomics strategy
Long‐Biao Cui, Yu‐Fei Fu, Lin Liu, et al.
European Journal of Neuroscience (2020) Vol. 53, Iss. 6, pp. 1961-1975
Open Access | Times Cited: 26
Clinical patterns differentially predict response to transcranial direct current stimulation (tDCS) and escitalopram in major depression: A machine learning analysis of the ELECT-TDCS study
Joseph Kambeitz, Stephan Goerigk, Wagner F. Gattaz, et al.
Journal of Affective Disorders (2020) Vol. 265, pp. 460-467
Closed Access | Times Cited: 25
Triple network hypothesis-related disrupted connections in schizophrenia: A spectral dynamic causal modeling analysis with functional magnetic resonance imaging
Yi‐Bin Xi, Fan Guo, Wenming Liu, et al.
Schizophrenia Research (2021) Vol. 233, pp. 89-96
Closed Access | Times Cited: 23
Predictive utility of artificial intelligence on schizophrenia treatment outcomes: A systematic review and meta-analysis
Reza Saboori Amleshi, Mehran Ilaghi, Masoud Rezaei, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 169, pp. 105968-105968
Open Access | Times Cited: 3
Prediction of individual responses to electroconvulsive therapy in patients with schizophrenia: Machine learning analysis of resting-state electroencephalography
Beomjun Min, Minah Kim, Junhee Lee, et al.
Schizophrenia Research (2019) Vol. 216, pp. 147-153
Closed Access | Times Cited: 23
Predicting individual improvement in schizophrenia symptom severity at 1‐year follow‐up: Comparison of connectomic, structural, and clinical predictors
Akhil Kottaram, Leigh A. Johnston, Ye Tian, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3342-3357
Open Access | Times Cited: 21
Repetitive Transcranial Magnetic Stimulation as a Therapeutic and Probe in Schizophrenia: Examining the Role of Neuroimaging and Future Directions
Stephen J. Brandt, Halimah Y. Oral, Carla Arellano-Bravo, et al.
Neurotherapeutics (2021) Vol. 18, Iss. 2, pp. 827-844
Open Access | Times Cited: 17
Effectiveness of Mental Health Care by Using Machine Learning on Manufacturing Worker
Jongwoo Lim, Suhan Lee, Jinhong Noh, et al.
International Journal of Precision Engineering and Manufacturing-Smart Technology (2023) Vol. 1, Iss. 2, pp. 227-242
Closed Access | Times Cited: 7
Transcranial Magnetic Stimulation–Based Machine Learning Prediction of Tumor Grading in Motor-Eloquent Gliomas
José Pedro Lavrador, Ana Mirallave-Pescador, Christos Soumpasis, et al.
Neurosurgery (2024)
Closed Access | Times Cited: 2
Investigating brain structure and tDCS response in obsessive-compulsive disorder
Ghina Harika‐Germaneau, Julien Gosez, P. Bokam, et al.
Journal of Psychiatric Research (2024) Vol. 177, pp. 39-45
Open Access | Times Cited: 2
Repetitive transcranial magnetic stimulation (rTMS) for schizophrenia patients treated with clozapine
Elias Wagner, William G. Honer, Iris E. Sommer, et al.
The World Journal of Biological Psychiatry (2020) Vol. 22, Iss. 1, pp. 14-26
Open Access | Times Cited: 17
Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition
Linda A. Antonucci, Alessandra Raio, Giulio Pergola, et al.
BMC Psychology (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 16
Development of Neuroimaging-Based Biomarkers in Psychiatry
Orkun Aydın, Pınar Ünal‐Aydın, Ayla Arslan
Advances in experimental medicine and biology (2019), pp. 159-195
Closed Access | Times Cited: 17
From the Group to the Individual in Schizophrenia Spectrum Disorders: Biomarkers of Social Cognitive Impairments and Therapeutic Translation
Lindsay D. Oliver, Colin Hawco, Joseph D. Viviano, et al.
Biological Psychiatry (2021) Vol. 91, Iss. 8, pp. 699-708
Closed Access | Times Cited: 14
Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability
Matthew Squires, Xiaohui Tao, Soman Elangovan, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107771-107771
Open Access | Times Cited: 5
Bifrontal high-frequency transcranial random noise stimulation is not effective as an add-on treatment in depression
Martin Schecklmann, Vahid Nejati, Timm B. Poeppl, et al.
Journal of Psychiatric Research (2020) Vol. 132, pp. 116-122
Closed Access | Times Cited: 12
Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia
Nuo Cheng, Meihao Guo, Fang Yan, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 4
Incisionless MR-guided focused ultrasound: technical considerations and current therapeutic approaches in psychiatric disorders
Thomas M. Kinfe, Andreas Stadlbauer, Klemens Winder, et al.
Expert Review of Neurotherapeutics (2020) Vol. 20, Iss. 7, pp. 687-696
Closed Access | Times Cited: 11
Using combined environmental–clinical classification models to predict role functioning outcome in clinical high-risk states for psychosis and recent-onset depression
Linda A. Antonucci, Nora Penzel, Rachele Sanfelici, et al.
The British Journal of Psychiatry (2022) Vol. 220, Iss. 4, pp. 229-245
Open Access | Times Cited: 7
Predicting the Effects of Repetitive Transcranial Magnetic Stimulation on Cognitive Functions in Patients With Alzheimer's Disease by Automated EEG Analysis
Cihan Bilge Kayasandık, Halil Aziz Velioğlu, Lütfü Hanoğlu
Frontiers in Cellular Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7
Translational Neuroimaging in Psychiatry
Marcella Bellani, Maria Gloria Rossetti, Eleonora Maggioni, et al.
Cambridge University Press eBooks (2024), pp. 158-176
Closed Access | Times Cited: 1
Machine learning in mental health: A systematic scoping review of methods and applications
Adrian Shatte, Delyse Hutchinson, Samantha Teague
(2018)
Closed Access | Times Cited: 8
Accelerated aging signatures in subjects with schizophrenia and their unaffected siblings
Diego Barreto Rebouças, Juliana Sartori, Diego Librenza‐Garcia, et al.
Journal of Psychiatric Research (2021) Vol. 139, pp. 30-37
Closed Access | Times Cited: 7

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