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:

An analysis of COVID-19 vaccine sentiments and opinions on Twitter
Samira Yousefinaghani, Rozita Dara, Samira Mubareka, et al.
International Journal of Infectious Diseases (2021) Vol. 108, pp. 256-262
Open Access | Times Cited: 224

Showing 51-75 of 224 citing articles:

Enhancing SME Product Brand Equity in The Digital Age as Strategic Approaches in the Era of Artificial Intelligence
Meithiana Indrasari, Nur Syamsudin, Liosten Rianna Rosida Ully Tampubolon
International Journal of Business Law and Education (2024) Vol. 5, Iss. 1, pp. 1139-1152
Open Access | Times Cited: 2

Mood and emotion assessment for risk reduction of pandemic spread through passenger air transport: a DSS applied to the COVID‐19 in the case of Spain
Juan Aguarón, Alfredo Altuzarra Casas, R. Aznar, et al.
International Transactions in Operational Research (2024)
Open Access | Times Cited: 2

Perceptions of Life Support and Advance Care Planning During the COVID-19 Pandemic
Vishal R. Patel, Sofia Gereta, Christopher J. Blanton, et al.
CHEST Journal (2022) Vol. 161, Iss. 6, pp. 1609-1619
Open Access | Times Cited: 11

Sentiment Analysis and Stance Detection in Turkish Tweets About COVID-19 Vaccination
Doğan Küçük, Nursal Arıcı
Advances in web technologies and engineering book series (2022), pp. 371-387
Closed Access | Times Cited: 11

Young adult preference analysis on the attributes of COVID-19 vaccine in the Philippines: A conjoint analysis approach
Ardvin Kester S. Ong, Yogi Tri Prasetyo, Fae Coleen Lagura, et al.
Public Health in Practice (2022) Vol. 4, pp. 100300-100300
Open Access | Times Cited: 11

Filipinos’ COVID‐19 vaccine hesitancy comments in TikTok videos: A manifest content analysis
Daniel Joseph E. Berdida, Franchesca Mae C. Franco, Xyllyne Allyah G. Santos, et al.
Public Health Nursing (2022) Vol. 40, Iss. 1, pp. 135-143
Open Access | Times Cited: 11

It’s Your Turn, Are You Ready to Get Vaccinated? Towards an Exploration of Vaccine Hesitancy Using Sentiment Analysis of Instagram Posts
Mohammed Talha Alam, Shahab Saquib Sohail, Syed Ubaid, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4165-4165
Open Access | Times Cited: 11

Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets
Zainab Zaidi, Mengbin Ye, Fergus Samon, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45069-e45069
Open Access | Times Cited: 6

TSM-CV: Twitter Sentiment Analysis for COVID-19 Vaccines Using Deep Learning
Saleh Albahli, Marriam Nawaz
Electronics (2023) Vol. 12, Iss. 15, pp. 3372-3372
Open Access | Times Cited: 6

Analyzing the changing landscape of the Covid-19 vaccine debate on Twitter
Arnaldo Santoro, Alessandro Galeazzi, Teresa Scantamburlo, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6

Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis
Qian Niu, Junyu Liu, Masaya Kato, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 14

The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis
Qian Niu, Junyu Liu, Masaya Kato, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 6, pp. e37466-e37466
Open Access | Times Cited: 10

Governmental anti‐pandemic policies, vaccination, population mobility, Twitter narratives, and the spread of COVID‐19: Evidence from the European Union countries
Елена Федорова, Svetlana Ledyaeva, О. М. Куликова, et al.
Risk Analysis (2023) Vol. 43, Iss. 10, pp. 1975-2003
Open Access | Times Cited: 5

Cancer and COVID-19 Vaccines on Twitter:The Voice and Vaccine Attitude of Cancer Community
Jungmi Jun, Karen E. Wickersham, Ali Zain, et al.
Journal of Health Communication (2023) Vol. 28, Iss. 1, pp. 1-14
Closed Access | Times Cited: 5

Sentiment Analysis of COVID-19 Vaccination Responses From Twitter Using Ensemble Learning
Qusai Ismail, Rasha Obeidat, Kefah Alissa, et al.
(2022), pp. 321-327
Closed Access | Times Cited: 9

Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets
Nekabari Sigalo, Beth St. Jean, Vanessa Frías-Martínez
JMIR Public Health and Surveillance (2022) Vol. 8, Iss. 7, pp. e34285-e34285
Open Access | Times Cited: 9

Sentiment analysis of public sensitivity to COVID-19 vaccines on twitter by majority voting classifier-based machine learning
Cihan ÇILGIN, Hadı Gökċen, Yılmaz Gökşen
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2022) Vol. 38, Iss. 2, pp. 1093-1104
Open Access | Times Cited: 9

Enhanced sentiment analysis regarding COVID-19 news from global channels
Waseem Ahmad, Bang Wang, Philecia Martin, et al.
Journal of Computational Social Science (2022) Vol. 6, Iss. 1, pp. 19-57
Open Access | Times Cited: 9

Twitter Sentiment Analysis with Machine Learning
M. Jagadeesan, T. Saravanan, P.A. Selvaraj, et al.
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) (2022), pp. 681-686
Closed Access | Times Cited: 9

COVID-19 Vaccination: A Retrospective Observation and Sentiment Analysis of the Twitter Social Media Platform in Indonesia
Andhika Rafi Hananto
IJIIS International Journal of Informatics and Information Systems (2022) Vol. 5, Iss. 1, pp. 56-69
Open Access | Times Cited: 8

A multilingual dataset of COVID-19 vaccination attitudes on Twitter
Ninghan Chen, Xihui Chen, Jun Pang
Data in Brief (2022) Vol. 44, pp. 108503-108503
Open Access | Times Cited: 8

Negative COVID-19 Vaccine Information on Twitter: Content Analysis
Niko Yiannakoulias, John Darlington, Catherine E. Slavik, et al.
JMIR Infodemiology (2022) Vol. 2, Iss. 2, pp. e38485-e38485
Open Access | Times Cited: 8

Understanding communication about the COVID-19 vaccines: analysis of emergent sentiments and topics of discussion on Twitter during the initial phase of the vaccine rollout
Emily Burwell, Ankita Agarwal, William L. Romine
International Journal of Science Education Part B (2023) Vol. 14, Iss. 1, pp. 18-46
Closed Access | Times Cited: 4

Sentiment Analysis of Twitter Data: A Review
Simarjeet Singh, Puneet Kumar
(2023), pp. 1-7
Closed Access | Times Cited: 4

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