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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:

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
Jia Xue, Junxiang Chen, Ran Hu, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e20550-e20550
Open Access | Times Cited: 348

Showing 1-25 of 348 citing articles:

A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Roman Egger, Chung-En Yu
Frontiers in Sociology (2022) Vol. 7
Open Access | Times Cited: 459
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
Furqan Rustam, Madiha Khalid, Waqar Aslam, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0245909-e0245909
Open Access | Times Cited: 277
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
Machine Learning in Healthcare Communication
Sarkar Siddique, James C. L. Chow
Encyclopedia (2021) Vol. 1, Iss. 1, pp. 220-239
Open Access | Times Cited: 149
The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement
Liviu‐Adrian Cotfas, Camelia Delcea, Ioan Roxin, et al.
IEEE Access (2021) Vol. 9, pp. 33203-33223
Open Access | Times Cited: 141
Sentiment analysis on twitter tweets about COVID-19 vaccines usi ng NLP and supervised KNN classification algorithm
F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Mubashir Imran, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2021) Vol. 23, Iss. 1, pp. 463-463
Open Access | Times Cited: 110
Willingness of the Jordanian Population to Receive a COVID-19 Booster Dose: A Cross-Sectional Study
Walid Al‐Qerem, Abdel Qader Al Bawab, Alaa M. Hammad, et al.
Vaccines (2022) Vol. 10, Iss. 3, pp. 410-410
Open Access | Times Cited: 72
Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach
Arwa Alqarni, Atta Rahman
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 16-16
Open Access | Times Cited: 56
Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets
Chiranjibi Sitaula, Anish Basnet, A. Mainali, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 93
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, et al.
Knowledge-Based Systems (2021) Vol. 226, pp. 107126-107126
Open Access | Times Cited: 89
CoVerifi: A COVID-19 news verification system
Nikhil Kolluri, Dhiraj Murthy
Online Social Networks and Media (2021) Vol. 22, pp. 100123-100123
Open Access | Times Cited: 74
Comparison of text preprocessing methods
Christine P. Chai
Natural Language Engineering (2022) Vol. 29, Iss. 3, pp. 509-553
Closed Access | Times Cited: 68
A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality
Cosimo Magazzino, Marco Mele, Mario Coccia
Epidemiology and Infection (2022) Vol. 150
Open Access | Times Cited: 62
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
Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time
Philipp Wicke, Marianna Bolognesi
Frontiers in Communication (2021) Vol. 6
Open Access | Times Cited: 56
Social media mining under the COVID-19 context: Progress, challenges, and opportunities
Xiao Huang, Siqin Wang, Mengxi Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 113, pp. 102967-102967
Open Access | Times Cited: 55
Positive attitudes towards COVID-19 vaccines: A cross-country analysis
Talita Greyling, Stephanié Rossouw
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0264994-e0264994
Open Access | Times Cited: 48
Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media
Meng Cai, Han Luo, Xiao Meng, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103197-103197
Closed Access | Times Cited: 47
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models
Sotiria Vernikou, Athanasios Lyras, Andreas Kanavos
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19615-19627
Open Access | Times Cited: 42
A systematic review of the use of topic models for short text social media analysis
Caitlin Doogan, Wray Buntine, Henry Linger
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14223-14255
Open Access | Times Cited: 41
A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine–Russia conflict
Serpil Aslan
Applied Soft Computing (2023) Vol. 143, pp. 110404-110404
Closed Access | Times Cited: 39
User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis
Hyojin Chin, Gabriel Lima, Mingi Shin, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e40922-e40922
Open Access | Times Cited: 36
Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications
Tala Mirzaei, Leila Amini, Pouyan Esmaeilzadeh
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 10
Exploring motivation, goals, facilitators, and barriers to adopt health behaviors at retirement age: a focus group study
Paula Collazo‐Castiñeira, Rocío Rodríguez‐Rey, Gisela Isabel Delfino, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence
Achini Adikari, Rashmika Nawaratne, Daswin De Silva, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e27341-e27341
Open Access | Times Cited: 54
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