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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:

Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach
Mai ElSherief, Steven A. Sumner, Christopher M. Jones, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 12, pp. e30753-e30753
Open Access | Times Cited: 18

Showing 18 citing articles:

Benefits and Harms of Large Language Models in Digital Mental Health
Munmun De Choudhury, Sachin R. Pendse, Neha Kumar
(2023)
Open Access | Times Cited: 18
Investigating Substance Use via Reddit: Systematic Scoping Review
Yu Chi, Huai-yu Chen
Journal of Medical Internet Research (2023) Vol. 25, pp. e48905-e48905
Open Access | Times Cited: 15
Quality of information and advice about health conditions in peer online support groups: Scoping review of the literature. (Preprint)
Bethan Treadgold, Neil Coulson, John Campbell, et al.
(2025)
Closed Access
Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment
Giuliano Lo Bianco, Christopher L. Robinson, Francesco D’Angelo, et al.
Biomedicines (2025) Vol. 13, Iss. 3, pp. 636-636
Open Access
Erosion of Trust, Polarization, and Changing Public Perceptions of Vaccines
Milan Toma
(2025)
Closed Access
Erosion of Trust, Polarization, and Changing Public Perceptions of Vaccines
Milan Toma
(2025)
Closed Access
Dissemination of health content through social networks: YouTube and opioid use disorders
Bridget O'Kelly, Perry Holmes, Anna Cheng, et al.
Journal of Substance Use and Addiction Treatment (2024) Vol. 165, pp. 209475-209475
Closed Access | Times Cited: 2
The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review
Alexandra Almeida, Thomas Patton, Mike Conway, et al.
JMIR Infodemiology (2024) Vol. 4, pp. e51156-e51156
Open Access | Times Cited: 1
Scope of Pre-trained Language Models for Detecting Conflicting Health Information
Joseph Gatto, Madhusudan Basak, Sarah Masud Preum
Proceedings of the International AAAI Conference on Web and Social Media (2023) Vol. 17, pp. 221-232
Open Access | Times Cited: 4
Global utilization of online information for substance use disorder: An infodemiological study of Google and Wikipedia from 2004 to 2022
Rowalt Alibudbud, Jerome V. Cleofas
Journal of Nursing Scholarship (2022) Vol. 55, Iss. 3, pp. 665-680
Closed Access | Times Cited: 7
Identification of Myths and Misinformation About Treatment for Opioid Use Disorder on Social Media: Infodemiology Study
Mai ElSherief, Steven A. Sumner, Vikram Krishnasamy, et al.
JMIR Formative Research (2023) Vol. 8, pp. e44726-e44726
Open Access | Times Cited: 2
Which Social Media Platforms Provide the Most Informative Data for Monitoring the Opioid Crisis?
Kristy A. Carpenter, Anna Nguyen, Delaney A. Smith, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Influence of Instagram on Medical Education in the age of Artificial Intelligence: A formal assessment of its utility in Health Education
Irami Araújo-Filho, Amália Cínthia Meneses do Rêgo
JOURNAL OF SURGICAL AND CLINICAL RESEARCH (2024) Vol. 15, Iss. 1, pp. 103-116
Open Access
The influence of instagram on medical education in the age of artificial intelligence: a formal assessment of its utility in health education
Amália Cínthia Meneses do Rêgo, Irami Araújo-Filho
Open Access Journal of Science (2024) Vol. 7, Iss. 1, pp. 61-66
Open Access
Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach
Yunhao Yuan, Erin Kasson, Jordan Taylor, et al.
JMIR Formative Research (2024) Vol. 8, pp. e54433-e54433
Open Access
Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use
Gian‐Gabriel P. Garcia, Ramin Dehghanpoor, Erin J. Stringfellow, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 6281-6281
Open Access | Times Cited: 2
Misinformation Containment Using NLP and Machine Learning
Vishnu S. Pendyala
Advances in computational intelligence and robotics book series (2022), pp. 41-56
Closed Access | Times Cited: 2
Investigating Substance Use via Reddit: Systematic Scoping Review (Preprint)
Yu Chi, Huai-yu Chen
(2023)
Open Access
The use of natural language processing methods in Reddit to investigate opioid use: a scoping review (Preprint)
Alexandra Almeida, Thomas Patton, Mike Conway, et al.
(2023)
Closed Access
Identification of Myths and Misinformation about Treatment for Opioid Use Disorder from Social Media (Preprint)
Mai ElSherief, Steven A. Sumner, Vikram Krishnasamy, et al.
(2022)
Open Access
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