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:

Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication
Veda C. Storey, Daniel E. O’Leary
Cognitive Computation (2022) Vol. 16, Iss. 4, pp. 1834-1857
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches
Bharati Ainapure, Reshma Pise, P Mahesh Reddy, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2573-2573
Open Access | Times Cited: 43

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

Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media
Feipeng Guo, Zixiang Liu, Qibei Lu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e47508-e47508
Open Access | Times Cited: 5

Leveraging Large Language Models to Study Infectious Diseases Based on Self-reporting Tweets: A Web Service to Monitor COVID-19 Trend (Preprint)
Jiacheng Xie, Ziyang Zhang, Shuai Zeng, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63190-e63190
Open Access

The COVID-19 Infodemic: A Survey (Preprint)
Ali Fahad Al-Qahtani, Hanaa Abbas, Stefano Cresci, et al.
(2025)
Closed Access

Investigating Influential COVID-19 Perspectives: A Multifaceted Analysis of Twitter Discourse
Shahid Bashir, Hossein Shirazi, Noushin Salek Faramarzi, et al.
Lecture notes in computer science (2025), pp. 3-22
Closed Access

Massive data language models and conversational artificial intelligence: Emerging issues
Daniel E. O’Leary
Intelligent Systems in Accounting Finance & Management (2022) Vol. 29, Iss. 3, pp. 182-198
Open Access | Times Cited: 26

Social media insights into spatio-temporal emotional responses to COVID-19 crisis
Siqi Wang, Chao Liang, Yunfan Gao, et al.
Health & Place (2024) Vol. 85, pp. 103174-103174
Open Access | Times Cited: 4

Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis
Eun Hee Park, Veda C. Storey
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-38
Closed Access | Times Cited: 13

Sharing Feelings and User Engagement on Twitter: It’s All About Me and You
Elad Segev
Social Media + Society (2023) Vol. 9, Iss. 2
Open Access | Times Cited: 6

Wikipedia page views for health research: a review
Rowalt Alibudbud
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 6

Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic
Mingjuan Yin, Senke Chen, Xueyan Pan, et al.
Journal of Global Health (2023) Vol. 13
Open Access | Times Cited: 3

Impact of Negation and AnA-Words on Overall Sentiment Value of the Text Written in the Bosnian Language
Sead Jahić, Jernej Vičič
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7760-7760
Open Access | Times Cited: 3

Influences of emotional intelligence on resilience in the South African entrepreneurial sector: a systematic literature review
Monument Thulani Bongani Makhanya
International Journal of Research in Business and Social Science (2147-4478) (2024) Vol. 13, Iss. 7, pp. 131-141
Open Access

Too much focus on your health might be bad for your health: Reddit user’s communication style predicts their Long COVID likelihood
Ludovica Segneri, Nandor Babina, Teresa Hammerschmidt, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0308340-e0308340
Open Access

NLP and Machine Learning for Sentiment Analysis in COVID-19 Tweets: A Comparative Study
Shahedhadeennisa Shaik, S. Chaitra
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access

An Innovative Way of Analyzing COVID Topics with LLM
Fahim Sufi
Journal of Economy and Technology (2024)
Open Access

Linguistic markers of processing the first months of the pandemic COVID-19: a psycholinguistic analysis of Italian university students' diaries
Gabriella Gandino, Cristina Civilotti, S. Finzi, et al.
Current Psychology (2023) Vol. 43, Iss. 18, pp. 17018-17031
Open Access | Times Cited: 1

Comparative analysis of epidemic public opinion and policies in two regions of China based on big data
Dong Qiu, Lin Huang
Intelligent Data Analysis (2023) Vol. 28, Iss. 2, pp. 533-552
Closed Access | Times Cited: 1

SENTIMENT ANALYSIS IN TURKISH TEXTBOOKS
Aslı UYSAL
Route Educational and Social Science Journal (2023)
Open Access

Twitter-Based Sentiment Analysis of Emotional Response to the Earthquake in Turkey and Syria
Md. Murad Hossain, Muhammad Saad Amin, Fatema Khairunnasa, et al.
(2023)
Closed Access

Exploring profile, effects and toxicity of novel synthetic opioids and classical opioids via Twitter: A qualitative study
Abdullah Al Hamid, Carys Tudor, Sulaf Assi
Emerging Trends in Drugs Addictions and Health (2023) Vol. 4, pp. 100139-100139
Open Access

Tweet Trends and Emotional Reactions: A Comprehensive Sentiment Analysis of Twitter Responses to the Earthquake in Turkey and Syria
Md. Murad Hossain, Muhammad Saad Amin, Fatema Khairunnasa, et al.
Research Square (Research Square) (2023)
Open Access

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