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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.

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Showing 26-50 of 61 citing articles:

Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review
Yoonseo Park, Sewon Park, Munjae Lee
Journal of Affective Disorders (2024) Vol. 361, pp. 445-456
Closed Access | Times Cited: 3
Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records
Zhenxing Xu, Veer Vekaria, Fei Wang, et al.
Psychiatric Research and Clinical Practice (2023) Vol. 5, Iss. 4, pp. 118-125
Open Access | Times Cited: 8
Machine Learning Prediction of Treatment Outcome in Late-Life Depression
Adrienne Grzenda, William Speier, Prabha Siddarth, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 19
TWIN: Personalized Clinical Trial Digital Twin Generation
Trisha Das, Zifeng Wang, Jimeng Sun
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)
Closed Access | Times Cited: 7
Effectiveness of the integration of traditional Chinese medicine and western medicine (integrative medicine) for treating liver stagnation and spleen deficiency in major depressive disorder: a randomized controlled trial protocol
Yao Song Han, Jo Anne Saw, Jiangwei Yu, et al.
Cogent Psychology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy
Sinem Zeynep Metin, Çağlar Uyulan, Shams Farhad, et al.
Clinical EEG and Neuroscience (2024)
Closed Access | Times Cited: 2
Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study
Dongkyun Kim, Jaehoon Oh, Heeju Im, et al.
Journal of Korean Medical Science (2021) Vol. 36, Iss. 27
Open Access | Times Cited: 17
Treatment-resistant bipolar depression: concepts and challenges for novel interventions
Alexandre Paim Díaz, Brisa S. Fernandes, João Quevedo, et al.
Brazilian Journal of Psychiatry (2021) Vol. 44, Iss. 2, pp. 178-186
Open Access | Times Cited: 16
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
David Liu, Kamil Abu-Shaban, Safwan S. Halabi, et al.
JMIR Medical Education (2023) Vol. 9, pp. e43415-e43415
Open Access | Times Cited: 6
Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review
Povilas Karvelis, Colleen E. Charlton, Shona G. Allohverdi, et al.
Network Neuroscience (2022) Vol. 6, Iss. 4, pp. 1066-1103
Open Access | Times Cited: 10
Bumetanide Effects on Resting-State EEG in Tuberous Sclerosis Complex in Relation to Clinical Outcome: An Open-Label Study
Erika L. Juárez-Martinez, Dorinde M. van Andel, Jan J. Sprengers, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 10
Prediction of Treatment Outcome in Major Depressive Disorder Using Ensemble of Hybrid Transfer Learning and Long Short-Term Memory Based on EEG Signal
Mohsen Sadat Shahabi, Ahmad Shalbaf
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 3, pp. 1279-1288
Closed Access | Times Cited: 10
Machine Learning Application in a Phase I Clinical Trial Allows for the Identification of Clinical‐Biomolecular Markers Significantly Associated With Toxicity
Luca Bedon, Erika Cecchin, Emanuele Fabbiani, et al.
Clinical Pharmacology & Therapeutics (2021) Vol. 111, Iss. 3, pp. 686-696
Open Access | Times Cited: 13
Functional brain network features specify DBS outcome for patients with treatment resistant depression
Amirhossein Ghaderi, Elliot C. Brown, Darren L. Clark, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 9, pp. 3888-3899
Closed Access | Times Cited: 5
Developing an Electroencephalography-Based Model for Predicting Response to Antidepressant Medication
Benjamin Schwartzmann, Prabhjot Dhami, Rudolf Uher, et al.
JAMA Network Open (2023) Vol. 6, Iss. 9, pp. e2336094-e2336094
Open Access | Times Cited: 5
Machine Learning as a Tool to Find New Pharmacological Targets in Mood Disorders: A Systematic Review
Joana Romão, António Melo, Rita André, et al.
Current Treatment Options in Psychiatry (2024) Vol. 11, Iss. 3, pp. 241-264
Open Access | Times Cited: 1
In perspective of specific symptoms of major depressive disorder: Functional connectivity analysis of electroencephalography and potential biomarkers of treatment response
Chao-Chung Ho, Syu‐Jyun Peng, Yu‐Hsiang Yu, et al.
Journal of Affective Disorders (2024) Vol. 367, pp. 944-950
Closed Access | Times Cited: 1
Using Deep Learning and Pretreatment EEG to Predict Response to Sertraline, Bupropion, and Placebo
Marman Ravan, Amin Noroozi, Harshil Gediya, et al.
Clinical Neurophysiology (2024) Vol. 167, pp. 198-208
Closed Access | Times Cited: 1
EEG Biomarkers to Predict Response to Sertraline and Placebo Treatment in Major Depressive Disorder
Thomas Oakley, Jonathan Coskuner, Andrew Cadwallader, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 3, pp. 909-919
Closed Access | Times Cited: 7
Exploring alternative approaches to precision medicine through genomics and artificial intelligence – a systematic review
Hassan Mumtaz, Muhammad Saqib, Sidra Jabeen, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 3
Spontaneous beta power, motor-related beta power and cortical thickness in major depressive disorder with psychomotor disturbance
Yi Xia, Hao Sun, Lingling Hua, et al.
NeuroImage Clinical (2023) Vol. 38, pp. 103433-103433
Open Access | Times Cited: 3
Precision Psychiatry: Machine Learning as a Tool to Find New Pharmacological Targets
João Rema, Filipa Novais, Diogo Telles‐Correia
Current Topics in Medicinal Chemistry (2021) Vol. 22, Iss. 15, pp. 1261-1269
Closed Access | Times Cited: 7
A Reflection Upon the Contribution of Retinal and Cortical Electrophysiology to Time of Information Processing in Psychiatric Disorders
Thomas Schwitzer, Marion Leboyer, Raymund Schwan
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 4
The way ahead for predictive EEG biomarkers in treatment of depression
Sebastian Olbrich, Martin Brunovský
Clinical Neurophysiology (2020) Vol. 132, Iss. 2, pp. 616-617
Closed Access | Times Cited: 4
Combined HTR1A/1B methylation and human functional connectome to recognize patients with MDD
Zhi Xu, Chenjie Gao, Tingting Tan, et al.
Psychiatry Research (2022) Vol. 317, pp. 114842-114842
Closed Access | Times Cited: 3

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