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:

Comparison of traditional model-based statistical methods with machine learning for the prediction of suicide behaviour
Leandro Nicolás Grendas, Luciana Carla Chiapella, Demián Rodante, et al.
Journal of Psychiatric Research (2021) Vol. 145, pp. 85-91
Closed Access | Times Cited: 23

Showing 23 citing articles:

Evaluation of a Model to Target High-risk Psychiatric Inpatients for an Intensive Postdischarge Suicide Prevention Intervention
Ronald C. Kessler, Mark S. Bauer, Todd M. Bishop, et al.
JAMA Psychiatry (2023) Vol. 80, Iss. 3, pp. 230-230
Open Access | Times Cited: 26

Prediction of non-suicidal self-injury in adolescents at the family level using regression methods and machine learning
Si Chen Zhou, Zhaohe Zhou, Qi Tang, et al.
Journal of Affective Disorders (2024) Vol. 352, pp. 67-75
Closed Access | Times Cited: 12

Machine learning toward improving the performance of membrane-based wastewater treatment: A review
Panchan Dansawad, Yanxiang Li, Yize Li, et al.
Advanced Membranes (2023) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 16

Machine learning versus regression for prediction of sporadic pancreatic cancer
Wansu Chen, Botao Zhou, Christie Y. Jeon, et al.
Pancreatology (2023) Vol. 23, Iss. 4, pp. 396-402
Open Access | Times Cited: 15

Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning
Earvin S. Tio, Melissa Misztal, Daniel Felsky
Frontiers in Psychiatry (2024) Vol. 14
Open Access | Times Cited: 5

Predicting suicide attempts among Norwegian adolescents without using suicide-related items: a machine learning approach
E. F. Haghish, Nikolai Olavi Czajkowski, Tilmann von Soest
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 12

A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke
Yuxin Wang, Yuhan Deng, Yinliang Tan, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11

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

Research on Prediction model of Carotid‐Femoral Pulse Wave Velocity: Based on Machine Learning Algorithm
Minghui Chen, Jing Xiong, Moran Li, et al.
Journal of Clinical Hypertension (2025) Vol. 27, Iss. 3
Open Access

Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic
M. Ballı, Asli Ercan Dogan, Şevin Hun Şenol, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

An integration of intelligent approaches and economic criteria for predictive analytics of occupational accidents
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100357-100357
Open Access | Times Cited: 10

Risk Prediction Model for Non-Suicidal Self-Injury in Chinese Adolescents with Major Depressive Disorder Based on Machine Learning
Ting Sun, Jinfang Liu, Hui Wang, et al.
Neuropsychiatric Disease and Treatment (2024) Vol. Volume 20, pp. 1539-1551
Open Access | Times Cited: 3

Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review
Khushbu Khatri Park, Mohammad Saleem, Mohammed Ali Al-Garadi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Prediction of Bronchopneumonia Inpatients’ Total Hospitalization Expenses Based on BP Neural Network and Support Vector Machine Models
Cuiyun Wu, Dahui Zha, Hong Gao
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 5

An Innovation of Algebric Mathamatical Based Statistical Analysis Model for Complex Number Theory
Balachandra Pattanaik, Sukhavasi Santha Kumari, Kiran Kumar C, et al.
(2023), pp. 94-99
Closed Access | Times Cited: 2

Editorial: Methods and interventions to predict and tackle suicide risk
David Benrimoh, Shannon Lange, Tihare Zamorano, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access

Unveiling Mental Struggles: NLP-Based Prediction of Depression and Suicide Risk
Reeshan Joarder, Jay Prakash Singh, Debolina Ghosh, et al.
(2024), pp. 1-6
Closed Access

Comparative analysis of machine learning and survival analysis for breast cancer prediction
Mower Provost Emily, Felicia Meidioktaviana, Ghinaa Zain Nabiilah, et al.
Procedia Computer Science (2024) Vol. 245, pp. 759-767
Open Access

Relation analysis (RELAN) – a new method of logical and statistical analysis of data to minimise the replication crisis
Rainer Maderthaner
Journal of Psychology & Clinical Psychiatry (2024) Vol. 15, Iss. 6, pp. 309-313
Open Access

Prediction models and testing of resilience in regions
Charalampos Manousiadis, Εleni Gaki
REGION (2023) Vol. 10, Iss. 1, pp. 113-132
Open Access | Times Cited: 1

Fusion of pain avoidance and the contingent negative variation induced by punitive condition predict suicide ideation in a college population
Wei Song, Huanhuan Li, Fang Sun, et al.
Behavioural Brain Research (2022) Vol. 438, pp. 114210-114210
Closed Access | Times Cited: 2

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