Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence
Chad Melton, Olufunto A. Olusanya, Nariman Ammar, et al.
Journal of Infection and Public Health (2021) Vol. 14, Iss. 10, pp. 1505-1512
Open Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Misinformation About COVID-19 Vaccines on Social Media: Rapid Review
Ingjerd Skafle, Anders Nordahl‐Hansen, Daniel Quintana, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 8, pp. e37367-e37367
Open Access | Times Cited: 194
Twitter sentiment analysis from Iran about COVID 19 vaccine
Zahra Bokaee Nezhad, Mohammad Ali Deihimi
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2021) Vol. 16, Iss. 1, pp. 102367-102367
Open Access | Times Cited: 80
Visual Sentiment Analysis Using Deep Learning Models with Social Media Data
Ganesh Chandrasekaran, Naaji Antoanela, Gabor Andrei, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1030-1030
Open Access | Times Cited: 47
A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data
Juan Antonio Lossio-Ventura, Rachel Weger, Angela Y. Lee, et al.
JMIR Mental Health (2023) Vol. 11, pp. e50150-e50150
Open Access | Times Cited: 27
Sentiment analysis on images using different transfer learning models
Gaurav Meena, Krishna Kumar Mohbey
Procedia Computer Science (2023) Vol. 218, pp. 1640-1649
Open Access | Times Cited: 22
Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing
V. S. Anoop, S. Sasirekha Sreelakshmi
Public Health (2023) Vol. 218, pp. 114-120
Closed Access | Times Cited: 21
The 21 most practiced RE-s of circular economy from LinkedIn company profiles on a global scale
G. P. Tsironis, Theodoros Daglis, Konstantinos P. Tsagarakis
Resources Conservation & Recycling Advances (2024) Vol. 21, pp. 200202-200202
Open Access | Times Cited: 12
Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach
Tanvir Ahammad
Natural Language Processing Journal (2024) Vol. 6, pp. 100053-100053
Open Access | Times Cited: 11
Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study
Chad Melton, Brianna M White, Robert L. Davis, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40408-e40408
Open Access | Times Cited: 31
Spatial evolution patterns of public panic on Chinese social networks amidst the COVID-19 pandemic
Yixin Yang, Yingying Zhang, Xiaowan Zhang, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 70, pp. 102762-102762
Open Access | Times Cited: 28
Analyzing the public sentiment on COVID-19 vaccination in social media: Bangladesh context
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, et al.
Array (2022) Vol. 15, pp. 100204-100204
Open Access | Times Cited: 28
Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects
Soyeon Kwon, Albert Park
Computers in Human Behavior (2023) Vol. 144, pp. 107734-107734
Open Access | Times Cited: 20
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
Brianna M White, Chad Melton, Parya Zareie, et al.
BMJ Health & Care Informatics (2023) Vol. 30, Iss. 1, pp. e100665-e100665
Open Access | Times Cited: 16
Cultural Nuances in COVID-19 Vaccine Uptake: A Comparative Analysis of English and Spanish Facebook Posts in Tarrant County, Texas (Preprint)
Ana Aleksandric, Anisha Dangal, Shirin Nilizadeh, et al.
(2025)
Closed Access
Hybrid method for topic modeling in game review
Nelly Indriani Widiastuti, Kania Evita Dewi, Prabowo
AIP conference proceedings (2025) Vol. 3200, pp. 040040-040040
Closed Access
Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language Models
Yiming Li, Deepthi Viswaroopan, William He, et al.
Research Square (Research Square) (2025)
Closed Access
Unpacking Online Discourse on Bioplastics: Insights from Reddit Sentiment Analysis
Bernardo Cruz, Aimilia Vaitsi, Samuel Domingos, et al.
Polymers (2025) Vol. 17, Iss. 6, pp. 823-823
Open Access
COVID-19 vaccine perceptions in the initial phases of US vaccine roll-out: an observational study on reddit
Navin Kumar, Isabel Corpus, Meher Hans, et al.
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 25
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets
Lu He, Tingjue Yin, Kai Zheng
Journal of Biomedical Informatics (2022) Vol. 132, pp. 104142-104142
Open Access | Times Cited: 25
A method for the dynamic collaboration of the public and experts in large-scale group emergency decision-making: Using social media data to evaluate the decision-making quality
Yucheng Zhu, Xuanhua Xu, Bin Pan
Computers & Industrial Engineering (2022) Vol. 176, pp. 108943-108943
Closed Access | Times Cited: 24
Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts
Gabriel Lindelöf, Talayeh Aledavood, Barbara Keller
Journal of Medical Internet Research (2023) Vol. 25, pp. e41319-e41319
Open Access | Times Cited: 15
Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review
Shujie Zang, Xu Zhang, Yuting Xing, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e40057-e40057
Open Access | Times Cited: 13
Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict
Alessio Guerra, Oktay Karakuş
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 13
Implementation of BERT, IndoBERT, and CNN-LSTM in Classifying Public Opinion about COVID-19 Vaccine in Indonesia
Siti Saadah, Kaenova Mahendra Auditama, Ananda Affan Fattahila, et al.
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2022) Vol. 6, Iss. 4, pp. 648-655
Open Access | Times Cited: 21
Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study
Minghui Li, Yining Hua, Yanhui Liao, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e39676-e39676
Open Access | Times Cited: 21
Page 1 - Next Page

Scroll to top