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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:

Examining the Prevailing Negative Sentiments Related to COVID-19 Vaccination: Unsupervised Deep Learning of Twitter Posts over a 16 Month Period
Qin Xiang Ng, Shu Rong Lim, Chun En Yau, et al.
Vaccines (2022) Vol. 10, Iss. 9, pp. 1457-1457
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Systematic Review and Meta-Analysis on the Real-World Effectiveness of COVID-19 Vaccines against Infection, Symptomatic and Severe COVID-19 Disease Caused by the Omicron Variant (B.1.1.529)
Hassen Mohammed, Dan Duy Pham-Tran, Zi Yi Michelle Yeoh, et al.
Vaccines (2023) Vol. 11, Iss. 2, pp. 224-224
Open Access | Times Cited: 34
Examining the Public Messaging on ‘Loneliness’ over Social Media: An Unsupervised Machine Learning Analysis of Twitter Posts over the Past Decade
Qin Xiang Ng, Dawn Yi Xin Lee, Chun En Yau, et al.
Healthcare (2023) Vol. 11, Iss. 10, pp. 1485-1485
Open Access | Times Cited: 9
Examining the Negative Sentiments Related to Influenza Vaccination from 2017 to 2022: An Unsupervised Deep Learning Analysis of 261,613 Twitter Posts
Qin Xiang Ng, Dawn Yi Xin Lee, Clara Xinyi Ng, et al.
Vaccines (2023) Vol. 11, Iss. 6, pp. 1018-1018
Open Access | Times Cited: 9
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
Real-World Effectiveness of SARS-CoV-2 Vaccine Booster in Hemodialysis Patients with COVID-19 Receiving Molnupiravir
Po-Chun Chen, Chiang-Chi Huang, Chung-Ming Fu, et al.
Viruses (2023) Vol. 15, Iss. 2, pp. 543-543
Open Access | Times Cited: 6
Public perception on 'healthy ageing' in the past decade: An unsupervised machine learning of 63,809 Twitter posts
Qin Xiang Ng, Dawn Yi Xin Lee, Chun En Yau, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13118-e13118
Open Access | Times Cited: 5
Effect of COVID-19 Vaccination on the In-Hospital Prognosis of Patients Admitted during Delta and Omicron Waves in Italy
Rossella Cianci, Laura Franza, Giulia Pignataro, et al.
Vaccines (2023) Vol. 11, Iss. 2, pp. 373-373
Open Access | Times Cited: 5
Reactions to science communication: discovering social network topics using word embeddings and semantic knowledge
Bernardo Cerqueira de Lima, Renata Maria Abrantes Baracho, Thomas Mandl, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
COVID-19 Vaccine Acceptance during Pregnancy and Influencing Factors in South Korea
Heesu Yoon, Bo Yun Choi, Won Joon Seong, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 19, pp. 5733-5733
Open Access | Times Cited: 9
Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts
Peipei Chen, Yuwei Jin, Xinfang Ma, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Addressing Vaccine Misinformation on Social Media by leveraging Transformers and User Association Dynamics
Chirag Rao, G. M. Prabhu, Ajay Rajendra Kumar, et al.
Procedia Computer Science (2024) Vol. 235, pp. 1803-1813
Open Access | Times Cited: 1
Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023
Qin Xiang Ng, Liang En Wee, Yu Liang Lim, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022
Qin Xiang Ng, Yu Qing Jolene Teo, Chee Yu Kiew, et al.
Cyberpsychology Behavior and Social Networking (2023) Vol. 26, Iss. 8, pp. 621-630
Closed Access | Times Cited: 4
COVID-19 Vaccine Acceptance in Pregnant Women in the United States: A Systematic Review and Meta-Analysis
Amy Patel, José L. Puglisi, S. Patel, et al.
Journal of Women s Health (2023) Vol. 33, Iss. 4, pp. 453-466
Closed Access | Times Cited: 3
Examining Public Messaging on Influenza Vaccine over Social Media: Unsupervised Deep Learning of 235,261 Twitter Posts from 2017 to 2023
Qin Xiang Ng, Clara Xinyi Ng, Clarence Ong, et al.
Vaccines (2023) Vol. 11, Iss. 10, pp. 1518-1518
Open Access | Times Cited: 2
Social interactions and COVID-19 vaccine hesitancy: Evidence from a full population study in Sweden
Johan Klæsson, José Lobo, Charlotta Mellander
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0289309-e0289309
Open Access | Times Cited: 2
COVID-19 Vaccination: Sociopolitical and Economic Impact in the United States
Soyoung Jeon, Yu-Feng Lee, Komla Koumi
Epidemiologia (2022) Vol. 3, Iss. 4, pp. 502-517
Open Access | Times Cited: 4
Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance
Victoria A. Nelson, Bidhan Bashyal, Pang‐Ning Tan, et al.
Social Science & Medicine (2024) Vol. 348, pp. 116775-116775
Closed Access
Has sentiment returned to the pre-pandemic level? A sentiment analysis using U.S. college subreddit data from 2019 to 2022
Tian Yan, Fang Liu
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299837-e0299837
Open Access
Wildfires and social media discourse: exploring mental health and emotional wellbeing through Twitter
Yury E. García, Miryam Elizabeth Villa-Pérez, Li Kuang, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access
The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models
Giulio Marchena Sekli
Kybernetes (2024)
Closed Access
Optimized discovery of discourse topics in social media: science communication about COVID-19 in Brazil
Bernardo Cerqueira de Lima, Renata Maria Abrantes Baracho, Thomas Mandl, et al.
Data Technologies and Applications (2024)
Closed Access
Deepening and Practical Application of Sentiment Analysis: Through Exploration of Public Interest and Sentiment on “Biodiversity” From Twitter
Shimon Ohtani
Environment and Behavior (2024)
Closed Access
An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines
Rohitash Chandra, Jayesh M. Sonawane, Jahnavi Lande
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 12, pp. 186-186
Open Access
Analyzing information sharing behaviors during stance formation on COVID-19 vaccination among Japanese Twitter users
Sho Cho, Shohei Hisamitsu, Hongshan Jin, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0299935-e0299935
Open Access
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