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:

Just in time crisis response: suicide alert system for telemedicine psychotherapy settings
Niels Bantilan, Matteo Malgaroli, Bonnie K. Ray, et al.
Psychotherapy Research (2020) Vol. 31, Iss. 3, pp. 289-299
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 86

Natural language processing for mental health interventions: a systematic review and research framework
Matteo Malgaroli, Thomas D. Hull, James M. Zech, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 62

Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
Elizabeth C. Stade, Shannon Wiltsey Stirman, Lyle Ungar, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 60

Human-Computer Interaction in Digital Mental Health
Luke Balcombe, Diego De Leo
Informatics (2022) Vol. 9, Iss. 1, pp. 14-14
Open Access | Times Cited: 59

Linguistic features of suicidal thoughts and behaviors: A systematic review
Stephanie Homan, Marion Gabi, Nina Klee, et al.
Clinical Psychology Review (2022) Vol. 95, pp. 102161-102161
Open Access | Times Cited: 36

Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art
E. Van Assche, Josep Antoni Ramos‐Quiroga, Carmine M. Pariante, et al.
European Neuropsychopharmacology (2022) Vol. 60, pp. 100-116
Open Access | Times Cited: 35

Mobile Applications in Mood Disorders and Mental Health: Systematic Search in Apple App Store and Google Play Store and Review of the Literature
Sophie Eis, Oriol Solà-Morales, Andrea Duarte‐Díaz, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 4, pp. 2186-2186
Open Access | Times Cited: 30

Machine learning for suicidal ideation identification: A systematic literature review
Wesllei Felipe Heckler, Juliano Varella de Carvalho, Jorge Luís Victória Barbosa
Computers in Human Behavior (2021) Vol. 128, pp. 107095-107095
Closed Access | Times Cited: 40

Detecting suicide risk using knowledge-aware natural language processing and counseling service data
Zhongzhi Xu, Yucan Xu, Florence Cheung, et al.
Social Science & Medicine (2021) Vol. 283, pp. 114176-114176
Closed Access | Times Cited: 36

Natural language processing system for rapid detection and intervention of mental health crisis chat messages
Akshay Swaminathan, Iván López, Rafael Antonio Garcia Mar, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 13

A machine learning approach to identifying suicide risk among text-based crisis counseling encounters
Meghan Broadbent, Mattia Medina Grespan, Katherine Axford, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 12

Prospects for the Use of Machine Learning for Mood Disorders
Ekaterina Mosolova, A. Е. Alfimov, E G Kostyukova, et al.
Digital Diagnostics (2025)
Open Access

Survey of Suicidal Tendency Recognition Based on Social Media
Shaowu Zhang, Sensen Li, Tongyue Zhang, et al.
Communications in computer and information science (2025), pp. 205-247
Closed Access

A Scoping Review of Arabic Natural Language Processing for Mental Health
Ashwag Alasmari
Healthcare (2025) Vol. 13, Iss. 9, pp. 963-963
Open Access

Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 3

A review of natural language processing in the identification of suicidal behavior
John Young, Steven Bishop, Carolyn J. Humphrey, et al.
Journal of Affective Disorders Reports (2023) Vol. 12, pp. 100507-100507
Open Access | Times Cited: 9

Artificial Intelligence and Machine Learning Techniques for Suicide Prediction: Integrating Dietary Patterns and Environmental Contaminants
Mayyas Al‐Remawi, Ahmed S.A. Ali Agha, Faisal Al‐Akayleh, et al.
Heliyon (2024) Vol. 10, Iss. 24, pp. e40925-e40925
Open Access | Times Cited: 2

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality
Sooyeon Min, Daun Shin, Sang Jin Rhee, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45456-e45456
Open Access | Times Cited: 6

Artificial Intelligence and Posttraumatic Stress Disorder (PTSD)
Matteo Malgaroli, Katharina Schultebraucks
European Psychologist (2020) Vol. 25, Iss. 4, pp. 272-282
Closed Access | Times Cited: 14

A computational model for assisting individuals with suicidal ideation based on context histories
Derick M. Rentz, Wesllei Felipe Heckler, Jorge Luís Victória Barbosa
Universal Access in the Information Society (2023) Vol. 23, Iss. 3, pp. 1447-1466
Closed Access | Times Cited: 4

Combining Psychological Theory with Language Models for Suicide Risk Detection
Daniel Izmaylov, Avi Segal, Kobi Gal, et al.
(2023), pp. 2430-2438
Open Access | Times Cited: 4

Scoping review on natural language processing applications in counselling and psychotherapy
Maria Laricheva, Yan Liu, Edward Shi, et al.
British Journal of Psychology (2024)
Open Access | Times Cited: 1

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