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:

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 26-50 of 82 citing articles:

Comparative Analysis of Machine Learning Models in Predicting Academic Outcomes: Insights and Implications for Educational Data Analytics
Abhishek Maheshwari, Amit Malhotra, Bhupendra Singh Hada, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 3
Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12–25 years): A scoping review
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35472-e35472
Open Access | Times Cited: 3
Machine Learning Algorithms and Quantitative Electroencephalography Predictors for Outcome Prediction in Traumatic Brain Injury: A Systematic Review
Nor Safira Elaina Mohd Noor, Haidi Ibrahim
IEEE Access (2020) Vol. 8, pp. 102075-102092
Open Access | Times Cited: 27
Virtual Reality–Based Treatment for Military Members and Veterans With Combat-Related Posttraumatic Stress Disorder: Protocol for a Multimodular Motion-Assisted Memory Desensitization and Reconsolidation Randomized Controlled Trial
Chelsea Jones, Lorraine Smith‐MacDonald, Antonio Miguel-Cruz, et al.
JMIR Research Protocols (2020) Vol. 9, Iss. 10, pp. e20620-e20620
Open Access | Times Cited: 25
Physiological parameters of mental health predict the emergence of post-traumatic stress symptoms in physicians treating COVID-19 patients
Talya Dolev, Salman Zubedat, Zev Brand, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22
Systematic review of machine learning in PTSD studies for automated diagnosis evaluation
Yuqi Wu, Kaining Mao, Liz Dennett, et al.
npj Mental Health Research (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 8
An E–Mental Health Solution to Prevent and Manage Posttraumatic Stress Injuries Among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text Messaging Services (Text4PTSI and Text4Wellbeing)
Gloria Obuobi-Donkor, Ejemai Eboreime, Jennifer Bond, et al.
JMIR Research Protocols (2022) Vol. 11, Iss. 4, pp. e30680-e30680
Open Access | Times Cited: 14
AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients
Krešimir Ćosić, Siniša Popović, Marko Šarlija, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 16
Machine learning methods to discriminate posttraumatic stress disorder: A protocol of systematic review and meta-analysis
Jing Wang, Hui Ouyang, Runda Jiao, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Hippocampal Resting-State Functional Connectivity Forecasts Individual Posttraumatic Stress Disorder Symptoms: A Data-Driven Approach
Jacklynn M. Fitzgerald, E. Kate Webb, Carissa Weis, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 7, Iss. 2, pp. 139-149
Open Access | Times Cited: 14
A machine learning approach to identifying pregnant women's risk for persistent post-traumatic stress following childbirth
Sofie Rousseau, Inbal Shlomi Polachek, Tahl I. Frenkel
Journal of Affective Disorders (2021) Vol. 296, pp. 136-149
Closed Access | Times Cited: 13
Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery
Kostas Stoitsas, Saurabh Bahulikar, Leonie de Munter, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
Improving Outcome Prediction for Traumatic Brain Injury From Imbalanced Datasets Using RUSBoosted Trees on Electroencephalography Spectral Power
Nor Safira Elaina Mohd Noor, Haidi Ibrahim, Muhammad Hanif Che Lah, et al.
IEEE Access (2021) Vol. 9, pp. 121608-121631
Open Access | Times Cited: 12
Neuroprogression in post-traumatic stress disorder: a systematic review
Thyago Antonelli-Salgado, Luís Francisco Ramos-Lima, Cristiane dos Santos Machado, et al.
Trends in Psychiatry and Psychotherapy (2021)
Open Access | Times Cited: 11
Identification of Psycho-Socio-Judicial Trajectories and Factors Associated With Posttraumatic Stress Disorder in People Over 15 Years of Age Who Recently Reported Sexual Assault to a Forensic Medical Center: Protocol for a Multicentric Prospective Study Using Mixed Methods and Artificial Intelligence
Emma Fedele, Victor Trousset, Thibault Schalk, et al.
JMIR Research Protocols (2023) Vol. 12, pp. e46652-e46652
Open Access | Times Cited: 4
Predictive Pioneers
Rita Komalasari
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2024), pp. 99-129
Closed Access | Times Cited: 1
A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services
Kaban Koochakpour, Øystein Nytrø, Bennett Leventhal, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105479-105479
Open Access | Times Cited: 1
https://allacademicresearch.com/index.php/AJSTEME/article/view/89
Janifer Nahar, Nusrat Jahan, Sadia Afrin Shorna, et al.
Academic journal on science, technology, engineering & mathematics education. (2024) Vol. 4, Iss. 3, pp. 63-74
Open Access | Times Cited: 1
Acute stress and PTSD among trauma-exposed children and adolescents: Computational prediction and interpretation
Joyce Zhang, Saber Sami, Richard Meiser‐Stedman
Journal of Anxiety Disorders (2022) Vol. 92, pp. 102642-102642
Open Access | Times Cited: 6
Text mining to improve screening for trauma-related symptoms in a global sample
Davide Marengo, Chris M. Hoeboer, Bernard P. Veldkamp, et al.
Psychiatry Research (2022) Vol. 316, pp. 114753-114753
Open Access | Times Cited: 6
Machine Learning Role in Cognitive Mental Health Analysis amid Covid-19 Crisis: A Critical Study
Riya Aggarwal, Nancy Girdhar, Alpana
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) (2022), pp. 90-96
Closed Access | Times Cited: 6
Heart and brain traumatic stress biomarker analysis with and without machine learning: A scoping review
Darius Rountree-Harrison, Shlomo Berkovsky, Maria Kangas
International Journal of Psychophysiology (2023) Vol. 185, pp. 27-49
Open Access | Times Cited: 3
Understanding Perceived Academic Stress among Filipino Students during COVID-19 using Machine Learning
Sheila Geronimo, Alexander A. Hernandez, Mideth Abisado, et al.
(2023) Vol. 4, pp. 54-59
Closed Access | Times Cited: 3
Applications of agent-based modeling in trauma research.
Melissa Tracy, Elana B. Gordis, Kate Strully, et al.
Psychological Trauma Theory Research Practice and Policy (2022) Vol. 15, Iss. 6, pp. 939-950
Open Access | Times Cited: 5
Post-traumatic stress disorder (PTSD) prediction in Covid-19 survivors- A Clinical Questionnaire and Machine Learning Based Approach
Sheikh Afaan Farooq, A. M. Wani, Shehla Rafiq
(2022) Vol. 4, pp. 1-8
Closed Access | Times Cited: 5

Scroll to top