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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:

Detection of Suicide Ideation in Social Media Forums Using Deep Learning
Michael M. Tadesse, Hongfei Lin, Bo Xu, et al.
Algorithms (2019) Vol. 13, Iss. 1, pp. 7-7
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Natural language processing applied to mental illness detection: a narrative review
Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 272
A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model
Kamil Zeberga, Muhammad Attique, Babar Shah, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 85
Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models
Theyazn H. H. Aldhyani, Saleh Nagi Alsubari, Ali Saleh Alshebami, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 19, pp. 12635-12635
Open Access | Times Cited: 73
A Comparative Analysis on Suicidal Ideation Detection Using NLP, Machine, and Deep Learning
Rezaul Haque, Naimul Islam, Maidul Islam, et al.
Technologies (2022) Vol. 10, Iss. 3, pp. 57-57
Open Access | Times Cited: 71
Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study
Inbar Levkovich, Zohar Elyoseph
JMIR Mental Health (2023) Vol. 10, pp. e51232-e51232
Open Access | Times Cited: 71
Mental Health Analysis in Social Media Posts: A Survey
Muskan Garg
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 3, pp. 1819-1842
Open Access | Times Cited: 70
Mental-LLM
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-32
Open Access | Times Cited: 53
Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique
Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Using Social Media for Mental Health Surveillance
Ruba Skaik, Diana Inkpen
ACM Computing Surveys (2020) Vol. 53, Iss. 6, pp. 1-31
Closed Access | Times Cited: 107
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, et al.
(2020)
Open Access | Times Cited: 82
A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
Kailai Yang, Tianlin Zhang, Sophia Ananiadou
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102961-102961
Open Access | Times Cited: 65
Deep learning techniques for suicide and depression detection from online social media: A scoping review
Anshu Malhotra, Rajni Jindal
Applied Soft Computing (2022) Vol. 130, pp. 109713-109713
Closed Access | Times Cited: 48
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 29
Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques
Asma Abdulsalam, Areej Alhothali, Saleh Alghamdi
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 9, pp. 12729-12742
Closed Access | Times Cited: 13
Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-19
Panchanit Boonyarat, Di Jie Liew, Yung‐Chun Chang
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103706-103706
Closed Access | Times Cited: 9
AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data
Ri-Ra Kang, Yong-gyom Kim, Minseok Hong, et al.
International Journal of Medical Informatics (2025), pp. 105870-105870
Closed Access | Times Cited: 1
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Shaoxiong Ji, Shirui Pan, Xue Li, et al.
IEEE Transactions on Computational Social Systems (2020) Vol. 8, Iss. 1, pp. 214-226
Open Access | Times Cited: 70
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media
Lei Cao, Huijun Zhang, Ling Feng
IEEE Transactions on Multimedia (2020) Vol. 24, pp. 87-102
Open Access | Times Cited: 66
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Lucie Flek, et al.
(2021), pp. 2415-2428
Open Access | Times Cited: 45
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: 37
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
Attention-Based Bi-LSTM Model for Arabic Depression Classification
Abdulqader M. Almars
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 2, pp. 3091-3106
Open Access | Times Cited: 40
An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms
Shini Renjith, Annie Abraham, Surya B. Jyothi, et al.
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 9564-9575
Open Access | Times Cited: 38
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data
Akshma Chadha, Baijnath Kaushik
New Generation Computing (2022) Vol. 40, Iss. 4, pp. 889-914
Open Access | Times Cited: 26
Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques
Eldar Yeskuatov, Sook-Ling Chua, Lee Kien Foo
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 16, pp. 10347-10347
Open Access | Times Cited: 24
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