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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:

Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic
Quyen G. To, Kien Gia To, Van-Anh Ngoc Huynh, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 8, pp. 4069-4069
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets
Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 43
COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter
Amir Karami, Michael Zhu, Bailey Goldschmidt, et al.
Vaccines (2021) Vol. 9, Iss. 10, pp. 1059-1059
Open Access | Times Cited: 58
Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations
Tamar Ginossar, Iain J. Cruickshank, Elena Zheleva, et al.
Human Vaccines & Immunotherapeutics (2022) Vol. 18, Iss. 1, pp. 1-13
Open Access | Times Cited: 52
Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
A. H. Alamoodi, B. B. Zaidan, Maimonah Eissa Al-Masawa, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104957-104957
Open Access | Times Cited: 47
COVID-19 vaccine hesitancy: a social media analysis using deep learning
Serge Nyawa, Dieudonné Tchuente, Samuel Fosso Wamba
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 477-515
Open Access | Times Cited: 38
Pre-trained language models in medicine: A survey
Xudong Luo, Zhiqi Deng, Binxia Yang, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102904-102904
Open Access | Times Cited: 8
An analysis of COVID-19 vaccine hesitancy in the U.S.
Hieu Bui, Sandra D. Ekşioğlu, Rubén A. Proaño, et al.
IISE Transactions (2024), pp. 1-15
Open Access | Times Cited: 5
Analysis of Public Sentiment on COVID-19 Vaccination Using Twitter
Gutti Gowri Jayasurya, Sanjay Kumar, Binod Kumar Singh, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 4, pp. 1101-1111
Closed Access | Times Cited: 29
Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study
Alec J. Calac, Michael Robert Haupt, Zhuoran Li, et al.
JMIR Infodemiology (2022) Vol. 2, Iss. 1, pp. e33587-e33587
Open Access | Times Cited: 21
A review on Natural Language Processing Models for COVID-19 research
Karl Hall, Victor Chang, Chrisina Jayne
Healthcare Analytics (2022) Vol. 2, pp. 100078-100078
Open Access | Times Cited: 21
Anti-vaccination attitude trends during the COVID-19 pandemic: A machine learning-based analysis of tweets
Quyen G. To, Kien Gia To, Van-Anh Ngoc Huynh, et al.
Digital Health (2023) Vol. 9, pp. 205520762311580-205520762311580
Open Access | Times Cited: 13
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: 11
Evaluating the feasibility of machine learning algorithms for combustion regime classification in biodiesel-fueled homogeneous charge compression ignition engines
Kiran Raj Bukkarapu, Anand Krishnasamy
Fuel (2024) Vol. 374, pp. 132406-132406
Closed Access | Times Cited: 4
Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati
Aasif Ahmad Mir, R. Sevukan, Sumeer Gul
Library Hi Tech (2021) Vol. 40, Iss. 2, pp. 340-356
Closed Access | Times Cited: 27
A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data
José Manuel Ramos-Varela, Juan C. Cuevas‐Tello, Daniel E. Noyola
Computation (2025) Vol. 13, Iss. 4, pp. 86-86
Open Access
Clarifying Misunderstandings in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy: A Systematic Review
Lorena Barberia, Belinda Lombard, Norton Trevisan Roman, et al.
Research Square (Research Square) (2025)
Closed Access
Exploring mental health literacy on twitter: A machine learning approach
Yin‐Ju Lien, Hsin‐Pei Feng, Yuen‐Hsien Tseng, et al.
Journal of Affective Disorders (2025)
Closed Access
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends
Wajdi Aljedaani, Eysha Saad, Furqan Rustam, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3199-3199
Open Access | Times Cited: 15
Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling
Adela Ljajić, Nikola Prodanović, Darija Medvecki, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 11, pp. e42261-e42261
Open Access | Times Cited: 13
Transparent machine learning models for predicting decisions to undertake energy retrofits in residential buildings
Serge Nyawa, Christian Gnekpe, Dieudonné Tchuente
Annals of Operations Research (2023)
Closed Access | Times Cited: 8
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: 7
Comparison of Machine Learning Approaches for Detecting COVID-19-Lockdown-Related Discussions During Recovery and Lockdown Periods
Mohammed Rashad Baker, A. H. Alamoodi, O. S. Albahri, et al.
Journal of Operations Intelligence (2023) Vol. 1, Iss. 1, pp. 11-29
Open Access | Times Cited: 7
Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets
Andrei Valeanu, Dragoș Paul Mihai, Corina Andrei, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images
Muhammed Akif Yenikaya, Gökhan Kerse, Onur Oktaysoy
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter
Mahathir Mohammad Bishal, Md. Rakibul Hassan Chowdory, Anik Das, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34103-e34103
Open Access | Times Cited: 2
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