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:

The COVID-19 Infodemic: Twitter versus Facebook
Kai‐Cheng Yang, Francesco Pierri, Pik-Mai Hui, et al.
Big Data & Society (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 176

Showing 26-50 of 176 citing articles:

Analyzing Characteristics of Nontrivial Information Diffusion via Implicit Links on Social Media
Y. TAMURA, Sho Tsugawa, Kohei Watabe
Lecture notes in computer science (2025), pp. 294-306
Closed Access

An “opinion reproduction number” for infodemics in a bounded-confidence content-spreading process on networks
Heather Z. Brooks, Mason A. Porter
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 1
Open Access

Decoding vaccine discourse: A comparative analysis of Twitter conversations in the USA and India
Archana Shrivastava, Amrendra Pandey, Arun Srivastava
Discourse & Communication (2025)
Closed Access

Studying the COVID-19 infodemic at scale
Anatoliy Gruzd, Manlio De Domenico, Pier Luigi Sacco, et al.
Big Data & Society (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 38

A multilayer network model of the coevolution of the spread of a disease and competing opinions
Kaiyan Peng, Lu Zheng, Vanessa Lin, et al.
Mathematical Models and Methods in Applied Sciences (2021) Vol. 31, Iss. 12, pp. 2455-2494
Open Access | Times Cited: 37

Firms’ challenges and social responsibilities during Covid-19: A Twitter analysis
Alessia Patuelli, Guido Caldarelli, Nicola Lattanzi, et al.
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0254748-e0254748
Open Access | Times Cited: 34

Universality, criticality and complexity of information propagation in social media
Daniele Notarmuzi, Claudio Castellano, Alessandro Flammini, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 25

COVID‐19 pandemic and food poverty conversations: Social network analysis of Twitter data
Fatemeh Eskandari, Amelia A. Lake, Mark Butler
Nutrition Bulletin (2022) Vol. 47, Iss. 1, pp. 93-105
Open Access | Times Cited: 23

Emotional profiling and cognitive networks unravel how mainstream and alternative press framed AstraZeneca, Pfizer and COVID-19 vaccination campaigns
Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23

A Health Crisis in the Age of Misinformation: How Social Media and Mass Media Influenced Misperceptions about COVID-19 and Compliance Behavior
Corine S. Meppelink, L. Bos, Mark Boukes, et al.
Journal of Health Communication (2022) Vol. 27, Iss. 10, pp. 764-775
Open Access | Times Cited: 23

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts
Yuhan Liu, Zhaoxuan Tan, Heng Wang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 485-495
Open Access | Times Cited: 13

Social media users’ perceptions about health mis- and disinformation on social media
Jim P. Stimpson, Alexander N. Ortega
Health Affairs Scholar (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 13

Account credibility inference based on news-sharing networks
Bao Tran Truong, Oliver Melbourne Allen, Filippo Menczer
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4

Doing your own research and other impossible acts of epistemic superheroism
Andrew Buzzell, Regina Rini
Philosophical Psychology (2022) Vol. 36, Iss. 5, pp. 906-930
Closed Access | Times Cited: 20

The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
Piergiorgio Castioni, Giulia Andrighetto, Riccardo Gallotti, et al.
Royal Society Open Science (2022) Vol. 9, Iss. 10
Open Access | Times Cited: 19

Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy
Gianluca Nogara, Francesco Pierri, Stefano Cresci, et al.
(2024), pp. 119-128
Open Access | Times Cited: 3

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

Italian Twitter semantic network during the Covid-19 epidemic
Mattia Mattei, Guido Caldarelli, Tiziano Squartini, et al.
EPJ Data Science (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 22

Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts
Alessandro N. Vargas, Alexander Maier, Marcos B. R. Vallim, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 21

Research status of deep learning methods for rumor detection
Li Tan, Ge Wang, Feiyang Jia, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 2, pp. 2941-2982
Open Access | Times Cited: 15

Cross-Platform Multimodal Misinformation: Taxonomy, Characteristics and Detection for Textual Posts and Videos
Nicholas Micallef, Marcelo Sandoval-Castañeda, Adi Cohen, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 651-662
Open Access | Times Cited: 14

Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study
Jacopo Lenti, Yelena Mejova, Kyriaki Kalimeri, et al.
JMIR Infodemiology (2023) Vol. 3, pp. e44714-e44714
Open Access | Times Cited: 8

Illustrating the impact of commercial determinants of health on the global COVID-19 pandemic: Thematic analysis of 16 country case studies
Toby Freeman, Fran Baum, Connie Musolino, et al.
Health Policy (2023) Vol. 134, pp. 104860-104860
Open Access | Times Cited: 8

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