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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:

Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides
Mrinal Kumar, Mark Dredze, Glen Coppersmith, et al.
(2015), pp. 85-94
Open Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

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
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
Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study
Qijin Cheng, Tim M. H. Li, Chi-Leung Kwok, et al.
Journal of Medical Internet Research (2017) Vol. 19, Iss. 7, pp. e243-e243
Open Access | Times Cited: 219
Detecting Anxiety through Reddit
Judy Hanwen Shen, Frank Rudzicz
(2017)
Open Access | Times Cited: 201
Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach
Albert Park, Mike Conway, Annie Chen
Computers in Human Behavior (2017) Vol. 78, pp. 98-112
Open Access | Times Cited: 193
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality
Scott Braithwaite, Christophe Giraud-Carrier, Josh West, et al.
JMIR Mental Health (2016) Vol. 3, Iss. 2, pp. e21-e21
Open Access | Times Cited: 192
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
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
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis
Nicolò Gozzi, Michele Tizzani, Michele Starnini, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e21597-e21597
Open Access | Times Cited: 143
Exploratory Analysis of Social Media Prior to a Suicide Attempt
Glen Coppersmith, Kim Ngo, R. Bret Leary, et al.
(2016)
Open Access | Times Cited: 149
Increase in suicides the months after the death of Robin Williams in the US
David S. Fink, Julián Santaella-Tenorio, Katherine M. Keyes
PLoS ONE (2018) Vol. 13, Iss. 2, pp. e0191405-e0191405
Open Access | Times Cited: 149
A survey on big data-driven digital phenotyping of mental health
Yunji Liang, Xiaolong Zheng, Daniel Zeng
Information Fusion (2019) Vol. 52, pp. 290-307
Closed Access | Times Cited: 134
Multi-class machine classification of suicide-related communication on Twitter
Pete Burnap, Gualtiero B. Colombo, Rosie Amery, et al.
Online Social Networks and Media (2017) Vol. 2, pp. 32-44
Open Access | Times Cited: 131
Modeling Stress with Social Media Around Incidents of Gun Violence on College Campuses
Koustuv Saha, Munmun De Choudhury
Proceedings of the ACM on Human-Computer Interaction (2017) Vol. 1, Iss. CSCW, pp. 1-27
Closed Access | Times Cited: 117
Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related Text
Graciela Gonzalez‐Hernandez, Abeed Sarker, Karen O’Connor, et al.
Yearbook of Medical Informatics (2017) Vol. 26, Iss. 01, pp. 214-227
Open Access | Times Cited: 116
The language of mental health problems in social media
George Gkotsis, Anika Oellrich, Tim Hubbard, et al.
(2016)
Open Access | Times Cited: 113
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 Social Media Based Index of Mental Well-Being in College Campuses
Shrey Bagroy, Ponnurangam Kumaraguru, Munmun De Choudhury
(2017)
Open Access | Times Cited: 104
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
Abeed Sarker, Maksim Belousov, Jasper Friedrichs, et al.
Journal of the American Medical Informatics Association (2018) Vol. 25, Iss. 10, pp. 1274-1283
Open Access | Times Cited: 96
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Díaz, et al.
SSRN Electronic Journal (2016)
Open Access | Times Cited: 94
Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community
Albert Park, Mike Conway
Journal of Medical Internet Research (2017) Vol. 19, Iss. 3, pp. e71-e71
Open Access | Times Cited: 93
Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data
Mike Conway, Mengke Hu, Wendy W. Chapman
Yearbook of Medical Informatics (2019) Vol. 28, Iss. 01, pp. 208-217
Open Access | Times Cited: 92
"Let Me Tell You About Your Mental Health!"
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, et al.
(2018)
Closed Access | Times Cited: 84
A systematic literature review of machine learning in online personal health data
Zhijun Yin, Lina Sulieman, Bradley Malin
Journal of the American Medical Informatics Association (2019) Vol. 26, Iss. 6, pp. 561-576
Open Access | Times Cited: 77
Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review
Danxia Liu, Xing Lin Feng, Farooq Ahmed, et al.
JMIR Mental Health (2021) Vol. 9, Iss. 3, pp. e27244-e27244
Open Access | Times Cited: 60
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