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:

ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection
Kadhim Hayawi, Sakib Shahriar, Mohamed Adel Serhani, et al.
Public Health (2021) Vol. 203, pp. 23-30
Open Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Let’s Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
Sakib Shahriar, Kadhim Hayawi
Artificial Intelligence and Applications (2023) Vol. 2, Iss. 1, pp. 11-20
Open Access | Times Cited: 108

Machine learning applications for COVID-19 outbreak management
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15313-15348
Open Access | Times Cited: 90

Ethical implications of text generation in the age of artificial intelligence
Laura Illia, Elanor Colleoni, Stelios C. Zyglidopoulos
Business Ethics the Environment & Responsibility (2022) Vol. 32, Iss. 1, pp. 201-210
Open Access | Times Cited: 75

Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, et al.
Natural Language Processing Journal (2024) Vol. 6, pp. 100059-100059
Open Access | Times Cited: 40

The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD
Kadhim Hayawi, Sakib Shahriar, Sujith Samuel Mathew
Journal of Information Science (2024)
Open Access | Times Cited: 20

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: 38

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

Mapping the Landscape of Misinformation Detection: A Bibliometric Approach
Andra Sandu, Ioana Ioanăș, Camelia Delcea, et al.
Information (2024) Vol. 15, Iss. 1, pp. 60-60
Open Access | Times Cited: 11

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

CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Rabindra Lamsal, Maria A. Rodriguez, Shanika Karunasekera
Knowledge-Based Systems (2024) Vol. 296, pp. 111916-111916
Open Access | Times Cited: 6

Changing landscape of fake news research on social media: a bibliometric analysis
Abdelkebir Sahid, Yassine Maleh, Karim Ouazzane
Quality & Quantity (2025)
Closed Access

Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic
Zixuan Weng, Aijun Lin
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16376-16376
Open Access | Times Cited: 22

Unsupervised Domain Adaptation Via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19
Huimin Zeng, Zhenrui Yue, Lanyu Shang, et al.
IEEE Transactions on Emerging Topics in Computing (2024), pp. 1-12
Open Access | Times Cited: 4

Detecting fake news for COVID-19 using deep learning: a review
Hamza Zaheer, Maryam Bashir
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74469-74502
Closed Access | Times Cited: 4

Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model
Aisha Aldosery, Robert Carruthers, Karandeep Kay, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 4

Impact of COVID-19 Pandemic on Mental Health and Socioeconomic Aspects in Greece
Tasos Stylianou, Konstantinos Ntelas
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 1843-1843
Open Access | Times Cited: 11

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: 11

Characterizing and Predicting Social Correction on Twitter
Yingchen Ma, Bing He, Nathan Subrahmanian, et al.
(2023), pp. 86-95
Open Access | Times Cited: 11

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Zhenrui Yue, Huimin Zeng, Yang Zhang, et al.
(2023)
Open Access | Times Cited: 11

Body, image, and digital technology in adolescence and contemporary youth culture
Francesco Demaria, Maria Pontillo, Cristina Di Vincenzo, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 3

Machine Learning Approaches for COVID-19 Sentiment Analysis: Unveiling the Power of BERT
Shobhit Srivastava, Mrinal Kanti Sarkar, Chinmay Chakraborty
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2024)
Closed Access | Times Cited: 2

Clock against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation
Shreya Ghosh, Prasenjit Mitra, Preslav Nakov
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 462-473
Open Access | Times Cited: 2

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