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:

Machine Learning Based Suicide Ideation Prediction for Military Personnel
Gen‐Min Lin, Masanori Nagamine, Szu‐Nian Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 7, pp. 1907-1916
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Suicidal behaviour prediction models using machine learning techniques: A systematic review
Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, et al.
Artificial Intelligence in Medicine (2022) Vol. 132, pp. 102395-102395
Closed Access | Times Cited: 36
Depression and Suicide Analysis Using Machine Learning and NLP
Pratyaksh Jain, Karthik Ram Srinivas, Abhishek Vichare
Journal of Physics Conference Series (2022) Vol. 2161, Iss. 1, pp. 012034-012034
Open Access | Times Cited: 34
Machine learning-based predictive modeling of depression in hypertensive populations
Chi‐Young Lee, Heewon Kim
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0272330-e0272330
Open Access | Times Cited: 31
Using machine learning approach to predict depression and anxiety among patients with epilepsy in China: A cross-sectional study
Zihan Wei, Xinpei Wang, Lei Ren, et al.
Journal of Affective Disorders (2023) Vol. 336, pp. 1-8
Closed Access | Times Cited: 17
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
Prediction of suicidal ideation with associated risk factors among university students in the southern part of Bangladesh: Machine learning approach
Sabiha Shirin Sara, Md. Asikur Rahman, Riaz Rahman, et al.
Journal of Affective Disorders (2024) Vol. 349, pp. 502-508
Closed Access | Times Cited: 5
AI enabled suicide prediction tools: a qualitative narrative review
Daniel D’Hotman, Erwin Loh
BMJ Health & Care Informatics (2020) Vol. 27, Iss. 3, pp. e100175-e100175
Open Access | Times Cited: 38
A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
Arturo Montejo‐Ráez, M. Dolores Molina-González, Salud María Jiménez-Zafra, et al.
Computer Science Review (2024) Vol. 53, pp. 100654-100654
Open Access | Times Cited: 4
Identifying suicidal ideation in Chinese higher vocational students using machine learning: a cross-sectional survey
Kun Jin, Zeng Tao, Menghui Gao, et al.
European Archives of Psychiatry and Clinical Neuroscience (2025)
Closed Access
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review
Sadikul Islam, Rifat Shahriyar, Abhishek Agarwala, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Unveiling sex difference in factors associated with suicide attempt among Chinese adolescents with depression: a machine learning-based study
Yang Wang, Siyu Chen, J Y Liu, et al.
Journal of Mental Health (2025), pp. 1-11
Closed Access
Ensemble Machine Learning and Natural Language Processing Techniques for the Assessment of Depression Using Non-clinical Texts
Akshat Saraswat, Pushkar Prakash Arya
Lecture notes in computer science (2025), pp. 109-122
Closed Access
Artificial Intelligence, Machine Learning Approach and Suicide Prevention: A Qualitative Narrative Review
Sheikh Shoib, Mohd Faizan Siddiqui, Serkan Turan, et al.
Deleted Journal (2025)
Closed Access
A 12-Lead ECG-Based System With Physiological Parameters and Machine Learning to Identify Right Ventricular Hypertrophy in Young Adults
Gen‐Min Lin, Henry Horng‐Shing Lu
IEEE Journal of Translational Engineering in Health and Medicine (2020) Vol. 8, pp. 1-10
Open Access | Times Cited: 31
Leveraging unstructured electronic medical record notes to derive population-specific suicide risk models
Maxwell Levis, Joshua Levy, Vincent Dufort, et al.
Psychiatry Research (2022) Vol. 315, pp. 114703-114703
Closed Access | Times Cited: 18
Artificial intelligence‐based blockchain solutions for intelligent healthcare: A comprehensive review on privacy preserving techniques
Badal Gami, Manav Agrawal, Deepak Mishra, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 9
Closed Access | Times Cited: 10
Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms
E. F. Haghish, Ragnhild Bang Nes, Milan Obaidi, et al.
Journal of Youth and Adolescence (2023) Vol. 53, Iss. 3, pp. 507-525
Open Access | Times Cited: 10
Stacked CNN - LSTM approach for prediction of suicidal ideation on social media
Bhavini Priyamvada, Shruti Singhal, Anand Nayyar, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 27883-27904
Closed Access | Times Cited: 9
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 Overfitting Solutions in Smart Depression Detection Models
Gaurav Gupta, Dilip Kumar Sharma
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 145-151
Closed Access | Times Cited: 15
A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
International Journal of Advanced Technology and Engineering Exploration (2021) Vol. 8, Iss. 83
Open Access | Times Cited: 18
A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining
Mahsa Mansourian, Sadaf Khademi, Hamid Reza Marateb
Diagnostics (2021) Vol. 11, Iss. 3, pp. 393-393
Open Access | Times Cited: 16
Machine Learning for Electrocardiographic Features to Identify Left Atrial Enlargement in Young Adults: CHIEF Heart Study
Chu‐Yu Hsu, Pang‐Yen Liu, Shu-Hsin Liu, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 12
Predicting inmate suicidal behavior with an interpretable ensemble machine learning approach in smart prisons
Khayyam Akhtar, Muhammad Usman Yaseen, Muhammad Imran, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2051-e2051
Open Access | Times Cited: 2
Metabolically healthy obesity and physical fitness in military males in the CHIEF study
Sheng‐Huei Wang, Pei-Shou Chung, Yen‐Po Lin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 15
Page 1 - Next Page

Scroll to top