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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:

The use of machine learning techniques in trauma-related disorders: a systematic review
Luís Francisco Ramos-Lima, Vitória Waikamp, Thyago Antonelli-Salgado, et al.
Journal of Psychiatric Research (2019) Vol. 121, pp. 159-172
Closed Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis
Ngumimi Karen Iyortsuun, Soo-Hyung Kim, Min Jhon, et al.
Healthcare (2023) Vol. 11, Iss. 3, pp. 285-285
Open Access | Times Cited: 119
Treatment of Posttraumatic Stress Disorder: A State-of-the-art Review
Lisa Burback, Suzette Brémault‐Phillips, Mirjam J. Nijdam, et al.
Current Neuropharmacology (2023) Vol. 22, Iss. 4, pp. 557-635
Closed Access | Times Cited: 96
Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 3, pp. 969-969
Open Access | Times Cited: 118
The Psychological Well-Being of Content Moderators
Miriah Steiger, Timir J. Bharucha, Sukrit Venkatagiri, et al.
(2021), pp. 1-14
Open Access | Times Cited: 102
A systematic review of machine learning in logistics and supply chain management: current trends and future directions
Mohammadreza Akbari, Thu Nguyen Anh
Benchmarking An International Journal (2021) Vol. 28, Iss. 10, pp. 2977-3005
Closed Access | Times Cited: 100
Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors
Katharina Schultebraucks, Meng Qian, Duna Abu‐Amara, et al.
Molecular Psychiatry (2020) Vol. 26, Iss. 9, pp. 5011-5022
Open Access | Times Cited: 90
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
Alaa Abd‐Alrazaq, Dari Alhuwail, Jens Schneider, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 58
The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Jing Wang, Hui Ouyang, Runda Jiao, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Unsupervised learning approach in defining the similarity of catchments: Hydrological response unit based k-means clustering, a demonstration on Western Black Sea Region of Turkey
Ersin Aytaç
International Soil and Water Conservation Research (2020) Vol. 8, Iss. 3, pp. 321-331
Open Access | Times Cited: 68
Psychiatry in the Digital Age: A Blessing or a Curse?
Carl B. Roth, Andreas Papassotiropoulos, Annette Beatrix Brühl, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 16, pp. 8302-8302
Open Access | Times Cited: 46
Detecting Presence of PTSD Using Sentiment Analysis From Text Data
Jeffrey Sawalha, Muhammad Yousefnezhad, Zehra Shah, et al.
Frontiers in Psychiatry (2022) Vol. 12
Open Access | Times Cited: 31
Development and Validation of a Machine Learning Prediction Model of Posttraumatic Stress Disorder After Military Deployment
Santiago Papini, Sonya B. Norman, Laura Campbell‐Sills, et al.
JAMA Network Open (2023) Vol. 6, Iss. 6, pp. e2321273-e2321273
Open Access | Times Cited: 17
Can machine learning be useful as a screening tool for depression in primary care?
Erito Marques de Souza Filho, Helena Cramer Veiga Rey, Rose Mary Frajtag, et al.
Journal of Psychiatric Research (2020) Vol. 132, pp. 1-6
Closed Access | Times Cited: 42
Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence
Nina de Lacy, Michael J. Ramshaw, Elizabeth McCauley, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review
Yingjie Jia, Bo Yang, Yi‐Hsin Yang, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28559-e28559
Open Access | Times Cited: 5
Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning
Robin Quillivic, Frédérique Gayraud, Yann Auxéméry, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals
Jolly Ehiabhi, Haifeng Wang
BioMedInformatics (2023) Vol. 3, Iss. 1, pp. 193-219
Open Access | Times Cited: 11
Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review
Markéta Čihařová, Khadicha Amarti, Ward van Breda, et al.
Biological Psychiatry (2024) Vol. 96, Iss. 7, pp. 519-531
Open Access | Times Cited: 4
A systematic review of machine learning findings in PTSD and their relationships with theoretical models
Wivine Blekić, Fabien D’Hondt, Arieh Y. Shalev, et al.
Nature Mental Health (2025) Vol. 3, Iss. 1, pp. 139-158
Closed Access
Predicting PTSD with Machine Learning: forecasting refugees’ trauma and tailored intervention
Sandra Figueiredo, Leyti Ndiaye
European Journal of Trauma & Dissociation (2025), pp. 100502-100502
Open Access
Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method
Chia-Hao Shih, Elyssa Feuer, Ben Kurzion, et al.
European journal of psychotraumatology (2025) Vol. 16, Iss. 1
Open Access
Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors
Ziv Ben‐Zion, Alexander J. Simon, Matthew Rosenblatt, et al.
JAMA Network Open (2025) Vol. 8, Iss. 3, pp. e250331-e250331
Open Access
Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review
James Tait, Stephen Kellett, Jaime Delgadillo
Journal of Anxiety Disorders (2025), pp. 103003-103003
Closed Access
A machine learning approach for engineer-to-order firms to predict supplier performance in critical supply chains
Michael D. Sherwin, Hugh Medal, Cameron A. MacKenzie, et al.
International Journal of Management Science and Engineering Management (2025), pp. 1-19
Closed Access
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