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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:

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kıcıman, Mark Dredze, et al.
(2016), pp. 2098-2110
Open Access | Times Cited: 678

Showing 1-25 of 678 citing articles:

Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
David C. Mohr, Mi Zhang, Stephen M. Schueller
Annual Review of Clinical Psychology (2017) Vol. 13, Iss. 1, pp. 23-47
Open Access | Times Cited: 687
Detecting depression and mental illness on social media: an integrative review
Sharath Chandra Guntuku, David B. Yaden, Margaret L. Kern, et al.
Current Opinion in Behavioral Sciences (2017) Vol. 18, pp. 43-49
Closed Access | Times Cited: 580
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Díaz, et al.
Frontiers in Big Data (2019) Vol. 2
Open Access | Times Cited: 552
Natural Language Processing of Social Media as Screening for Suicide Risk
Glen Coppersmith, R. Bret Leary, Patrick Crutchley, et al.
Biomedical Informatics Insights (2018) Vol. 10
Open Access | Times Cited: 428
Instagram photos reveal predictive markers of depression
Andrew Reece, Christopher M. Danforth
EPJ Data Science (2017) Vol. 6, Iss. 1
Open Access | Times Cited: 420
Methods in predictive techniques for mental health status on social media: a critical review
Stevie Chancellor, Munmun De Choudhury
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 387
Forecasting the onset and course of mental illness with Twitter data
Andrew Reece, Andrew J. Reagan, Katharina Lix, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 364
Detection of Depression-Related Posts in Reddit Social Media Forum
Michael M. Tadesse, Hongfei Lin, Bo Xu, et al.
IEEE Access (2019) Vol. 7, pp. 44883-44893
Open Access | Times Cited: 360
Sensitive Self-disclosures, Responses, and Social Support on Instagram
Nazanin Andalibi, Pinar Ozturk, Andrea Forte
(2017), pp. 1485-1500
Closed Access | Times Cited: 296
Machine Learning in Mental Health
Anja Thieme, Danielle Belgrave, Gavin Doherty
ACM Transactions on Computer-Human Interaction (2020) Vol. 27, Iss. 5, pp. 1-53
Open Access | Times Cited: 290
Data ex Machina: Introduction to Big Data
David Lazer, Jason Pilny Radford
Annual Review of Sociology (2017) Vol. 43, Iss. 1, pp. 19-39
Open Access | Times Cited: 286
Big Data in Public Health: Terminology, Machine Learning, and Privacy
Stephen J. Mooney, Vikas Pejaver
Annual Review of Public Health (2017) Vol. 39, Iss. 1, pp. 95-112
Open Access | Times Cited: 285
Depression and Self-Harm Risk Assessment in Online Forums
Andrew Yates, Arman Cohan, Nazli Goharian
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2017)
Open Access | Times Cited: 282
Ethical Research Protocols for Social Media Health Research
Adrian Benton, Glen Coppersmith, Mark Dredze
(2017)
Open Access | Times Cited: 206
The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kıcıman
Proceedings of the International AAAI Conference on Web and Social Media (2017) Vol. 11, Iss. 1, pp. 32-41
Open Access | Times Cited: 189
HCI and Affective Health
Pedro Sanches, Axel Janson, Pavel Karpashevich, et al.
(2019), pp. 1-17
Open Access | Times Cited: 187
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al.
(2018)
Open Access | Times Cited: 185
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
When Personal Tracking Becomes Social
Chia-Fang Chung, Elena Agapie, Jessica Schroeder, et al.
(2017)
Open Access | Times Cited: 174
The Next Generation: Chatbots in Clinical Psychology and Psychotherapy to Foster Mental Health – A Scoping Review
Eileen Bendig, Benjamin Erb, Lea Schulze-Thuesing, et al.
Verhaltenstherapie (2019) Vol. 32, Iss. Suppl. 1, pp. 64-76
Open Access | Times Cited: 174
A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media
Stevie Chancellor, Michael L. Birnbaum, Eric D. Caine, et al.
(2019), pp. 79-88
Closed Access | Times Cited: 171
Early Detection of Depression: Social Network Analysis and Random Forest Techniques
Fidel Cacheda, Diego Fernández, Francisco J. Nóvoa, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 6, pp. e12554-e12554
Open Access | Times Cited: 171
Supervised Learning for Suicidal Ideation Detection in Online User Content
Shaoxiong Ji, Celina P. Yu, Sai-fu Fung, et al.
Complexity (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 170
Social Support, Reciprocity, and Anonymity in Responses to Sexual Abuse Disclosures on Social Media
Nazanin Andalibi, Oliver L. Haimson, Munmun De Choudhury, et al.
ACM Transactions on Computer-Human Interaction (2018) Vol. 25, Iss. 5, pp. 1-35
Open Access | Times Cited: 167
Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media
Koustuv Saha, John Torous, Eric D. Caine, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e22600-e22600
Open Access | Times Cited: 145
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