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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:

Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach
Oladapo Oyebode, Chinenye Ndulue, Ashfaq Adib, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 4, pp. e22734-e22734
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset
Miftahul Qorib, Timothy Oladunni, Max Denis, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118715-118715
Open Access | Times Cited: 152
Using Twitter for sentiment analysis towards AstraZeneca/Oxford, Pfizer/BioNTech and Moderna COVID-19 vaccines
Robert Marčec, Robert Likić
Postgraduate Medical Journal (2021) Vol. 98, Iss. 1161, pp. 544-550
Open Access | Times Cited: 124
Mitigating healthcare supply chain challenges under disaster conditions: a holistic AI-based analysis of social media data
Vishwa V. Kumar, Avimanyu Sahoo, Siva K. Balasubramanian, et al.
International Journal of Production Research (2024), pp. 1-19
Closed Access | Times Cited: 13
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning
Lifeng Han, Serge Gladkoff, Gleb Erofeev, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 7
COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling
Luwen Huangfu, Yiwen Mo, Peijie Zhang, et al.
Journal of Medical Internet Research (2021) Vol. 24, Iss. 2, pp. e31726-e31726
Open Access | Times Cited: 43
COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, et al.
Journal of Healthcare Informatics Research (2022) Vol. 6, Iss. 2, pp. 174-207
Open Access | Times Cited: 28
Identification of emerging harms due to COVID-19 outbreak: a qualitative study in Iran
Sina Ahmadi, Seyed Fahim Irandoost, Neda SoleimanvandiAzar, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access
Integrative learning through student-led transdisciplinary investigation of Belgium’s COVID-19 pandemic preparedness
Jan-Peter Sandler, Tam Nguyen, Angelina Konnova, et al.
Research Square (Research Square) (2025)
Closed Access
The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Abeed Sarker
Healthcare (2022) Vol. 10, Iss. 11, pp. 2270-2270
Open Access | Times Cited: 22
A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
Zahra Movahedi Nia, Ali Ahmadi, Nicola Luigi Bragazzi, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0272208-e0272208
Open Access | Times Cited: 19
Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach
Amerah Alabrah, Husam M. Alawadh, Ofonime Dominic Okon, et al.
Mathematics (2022) Vol. 10, Iss. 3, pp. 467-467
Open Access | Times Cited: 18
COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets
Miftahul Qorib, Timothy Oladunni, Max Denis, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 10, pp. 5803-5803
Open Access | Times Cited: 10
Supporting the Diagnosis of Fabry Disease Using a Natural Language Processing-Based Approach
Adrian Michalski, Karol Lis, Joanna Stankiewicz, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 10, pp. 3599-3599
Open Access | Times Cited: 10
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Shih-Chieh Dai, Aiping Xiong, Lun‐Wei Ku
(2023), pp. 9993-10001
Open Access | Times Cited: 10
Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing
Christopher Whitfield, Yang Liu, Mohd Anwar
Journal of Racial and Ethnic Health Disparities (2024)
Open Access | Times Cited: 3
Characterizing Intimate Partner Violence in the United States During the COVID-19 Pandemic: A Systematic Review
Prachi H. Bhuptani, Julia Hunter, Caroline Goodwin, et al.
Trauma Violence & Abuse (2022) Vol. 24, Iss. 5, pp. 3220-3235
Closed Access | Times Cited: 17
Identifying adverse drug reactions from patient reviews on social media using natural language processing
Oladapo Oyebode, Rita Orji
Health Informatics Journal (2023) Vol. 29, Iss. 1
Open Access | Times Cited: 9
Generalizing factors of COVID-19 vaccine attitudes in different regions: A summary generation and topic modeling approach
Yang Liu, Jiale Shi, Chenxu Zhao, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review
Samantha Teague, Adrian Shatte, Emmelyn Weller, et al.
JMIR Mental Health (2022) Vol. 9, Iss. 2, pp. e33058-e33058
Open Access | Times Cited: 12
“I Let Depression and Anxiety Drown Me…”: Identifying Factors Associated With Resilience Based on Journaling Using Machine Learning and Thematic Analysis
Adenrele Oduntan, Oladapo Oyebode, Amelia Hernandez Beltran, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3397-3408
Closed Access | Times Cited: 12
Identifying Reproductive Behavior Arguments in Social Media Content Users’ Opinions through Natural Language Processing Techniques
Irina Kalabikhina, Ekaterina Zubova, Natalia Loukachevitch, et al.
Population and Economics (2023) Vol. 7, Iss. 2, pp. 40-59
Open Access | Times Cited: 7
It’s Okay to be Not Okay: An Analysis of Twitter Responses to Naomi Osaka’s Withdrawal due to Mental Health Concerns
Zhijing Chen, Dae Hee Kwak
Communication & Sport (2022) Vol. 11, Iss. 3, pp. 439-461
Closed Access | Times Cited: 11
COVID-19 information received by the Peruvian population, during the first phase of the pandemic, and its association with developing psychological distress
Juan Gómez‐Salgado, Juan Carlos Palomino-Baldeón, Mónica Ortega‐Moreno, et al.
Medicine (2022) Vol. 101, Iss. 5, pp. e28625-e28625
Open Access | Times Cited: 10
Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study
Rachel Weger, Juan Antonio Lossio-Ventura, Margaret Rose-McCandlish, et al.
JMIR Mental Health (2022) Vol. 10, pp. e40899-e40899
Open Access | Times Cited: 8
Amplifying the lived experiences of parenteral nutrition consumers through the thematic analysis of social media posts
Regina Barrera, Kristy Poindexter, Chandler Tucker, et al.
Nutrition in Clinical Practice (2023) Vol. 39, Iss. 4, pp. 850-858
Closed Access | Times Cited: 4
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