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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:

Using social media to monitor mental health discussions − evidence from Twitter
Chandler McClellan, Mir M. Ali, Ryan Mutter, et al.
Journal of the American Medical Informatics Association (2016) Vol. 24, Iss. 3, pp. 496-502
Open Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

A machine learning approach predicts future risk to suicidal ideation from social media data
Arunima Roy, Katerina Nikolitch, Rachel McGinn, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 161
Belief in a COVID-19 Conspiracy Theory as a Predictor of Mental Health and Well-Being of Health Care Workers in Ecuador: Cross-Sectional Survey Study
Xi Chen, Stephen X. Zhang, Asghar Afshar Jahanshahi, et al.
JMIR Public Health and Surveillance (2020) Vol. 6, Iss. 3, pp. e20737-e20737
Open Access | Times Cited: 152
A scoping review of the use of Twitter for public health research
Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103770-103770
Open Access | Times Cited: 136
Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data
Wasim Ahmed, Peter A. Bath, Laura Sbaffi, et al.
Health Information & Libraries Journal (2019) Vol. 36, Iss. 1, pp. 60-72
Open Access | Times Cited: 98
Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study
S. Smys, Jennifer S. Raj
Journal of Trends in Computer Science and Smart Technology (2021) Vol. 3, Iss. 1, pp. 24-39
Open Access | Times Cited: 97
Toward Real-Time Infoveillance of Twitter Health Messages
Jason B. Colditz, Kar‐Hai Chu, Sherry Emery, et al.
American Journal of Public Health (2018) Vol. 108, Iss. 8, pp. 1009-1014
Open Access | Times Cited: 85
Anxiety and Panic Buying Behaviour during COVID-19 Pandemic—A Qualitative Analysis of Toilet Paper Hoarding Contents on Twitter
Janni Leung, Jack Chung, Calvert Tisdale, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 3, pp. 1127-1127
Open Access | Times Cited: 84
A computational study of mental health awareness campaigns on social media
Koustuv Saha, John Torous, Sindhu Kiranmai Ernala, et al.
Translational Behavioral Medicine (2019) Vol. 9, Iss. 6, pp. 1197-1207
Open Access | Times Cited: 81
The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health
Rui Liu, Suraksha Gupta, Parth Patel
Information Systems Frontiers (2021) Vol. 25, Iss. 6, pp. 2275-2299
Open Access | Times Cited: 61
Twitter as a predictive system: A systematic literature review
Enrique Caño-Marín, Marçal Mora‐Cantallops, Salvador Sánchez‐Alonso
Journal of Business Research (2022) Vol. 157, pp. 113561-113561
Open Access | Times Cited: 48
Social media prediction: a literature review
Dimitrios Rousidis, Paraskevas Koukaras, Christos Tjortjis
Multimedia Tools and Applications (2019) Vol. 79, Iss. 9-10, pp. 6279-6311
Closed Access | Times Cited: 73
Social Media Skills for Professional Development in Psychiatry and Medicine
Howard Y. Liu, Eugene V. Beresin, Margaret S. Chisolm
Psychiatric Clinics of North America (2019) Vol. 42, Iss. 3, pp. 483-492
Open Access | Times Cited: 65
Youth Mental Health Services Utilization Rates After a Large-Scale Social Media Campaign: Population-Based Interrupted Time-Series Analysis
Richard Booth, Britney Allen, Krista M. Bray Jenkyn, et al.
JMIR Mental Health (2018) Vol. 5, Iss. 2, pp. e27-e27
Open Access | Times Cited: 56
“Twitter is Really Therapeutic at Times”: Examination of Black Men’s Twitter Conversations Following Hip-Hop Artist Kid Cudi’s Depression Disclosure
Diane B. Francis
Health Communication (2019) Vol. 36, Iss. 4, pp. 448-456
Closed Access | Times Cited: 44
Mental Health Discourses on Twitter during Mental Health Awareness Week
Meiko Makita, Amalia Más-Bleda, Scott Morris, et al.
Issues in Mental Health Nursing (2020) Vol. 42, Iss. 5, pp. 437-450
Open Access | Times Cited: 40
Monitoring People’s Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic
Ali Al-Laith, Mamdouh Alenezi
Information (2021) Vol. 12, Iss. 2, pp. 86-86
Open Access | Times Cited: 38
Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis
Aaron Baird, Yusen Xia, Yichen Cheng
JAMIA Open (2022) Vol. 5, Iss. 2
Open Access | Times Cited: 26
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
#anxiety: A multimodal discourse analysis of narrations of anxiety on TikTok
Chandler Mordecai
Computers & composition/Computers and composition (2023) Vol. 67, pp. 102763-102763
Open Access | Times Cited: 14
Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics
Jianhong Luo, Jingcheng Du, Cui Tao, et al.
Health Informatics Journal (2019) Vol. 26, Iss. 2, pp. 738-752
Open Access | Times Cited: 38
Caring for their own: How firm actions to protect essential workers and CEO benevolence influenced stakeholder sentiment during the COVID-19 pandemic.
Adam Steinbach, Jason Kautz, M. Audrey Korsgaard
Journal of Applied Psychology (2021) Vol. 106, Iss. 6, pp. 811-824
Closed Access | Times Cited: 30
Harnessing Twitter data to survey public attention and attitudes towards COVID-19 vaccines in the UK
Seena Fazel, Le Zhang, Babak Javid, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28
Incorporating Social Media into your Support Tool Box: Points to Consider from Genetics‐Based Communities
Heather Rocha, Juliann M. Savatt, Erin Rooney Riggs, et al.
Journal of Genetic Counseling (2017) Vol. 27, Iss. 2, pp. 470-480
Open Access | Times Cited: 39
A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning
Akshma Chadha, Baijnath Kaushik
The Computer Journal (2019) Vol. 64, Iss. 11, pp. 1617-1632
Closed Access | Times Cited: 31
Syndromic surveillance using web data: a systematic review
Loukas Samaras, Elena García‐Barriocanal, Miguel‐Ángel Sicilia
Elsevier eBooks (2019), pp. 39-77
Closed Access | Times Cited: 31
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