Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic
Christian López, Caleb Gallemore
Research Square (Research Square) (2020)
Closed Access | Times Cited: 12

Showing 12 citing articles:

Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications
Yining Hua, Hang Jiang, Shixu Lin, et al.
Journal of the American Medical Informatics Association (2022) Vol. 29, Iss. 10, pp. 1668-1678
Open Access | Times Cited: 38
Are updatable learned indexes ready?
Chaichon Wongkham, Baotong Lu, Chris Liu, et al.
Proceedings of the VLDB Endowment (2022) Vol. 15, Iss. 11, pp. 3004-3017
Open Access | Times Cited: 28
Applications of machine learning for COVID-19 misinformation: a systematic review
Anas Sanaullah, Anupam Das, Anik Das, et al.
Social Network Analysis and Mining (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
VaccinEU: COVID-19 Vaccine Conversations on Twitter in French, German and Italian
Marco Di Giovanni, Francesco Pierri, Christopher Torres-Lugo, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 1236-1244
Open Access | Times Cited: 8
Sentiment Analysis of Arabic Tweets Related to COVID-19 Using Deep Neural Network
Najla Hamandi Alharbi, Jawad Hassan Alkhateeb
2021 International Congress of Advanced Technology and Engineering (ICOTEN) (2021), pp. 1-11
Closed Access | Times Cited: 5
ANALISIS SENTIMEN PADA TWEET TERKAIT VAKSIN COVID-19 MENGGUNAKAN METODE SUPPORT VECTOR MACHINE
Hashri Hayati, Muhammad Riza Alifi
JTT (Jurnal Teknologi Terapan) (2021) Vol. 7, Iss. 2, pp. 110-110
Open Access | Times Cited: 5
An analytical insight of discussions and sentiments of Indians on Omicron-driven third wave of COVID-19 using twitter data
Deepika Vatsa Deepika Vatsa, Ashima Yadav
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
An analytical insight of discussions and sentiments of Indians on Omicron-driven third wave of COVID-19 using twitter data
Deepika Vatsa Deepika Vatsa, Ashima Yadav
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
H-TFIDF: What makes areas specific over time in the massive flow of tweets related to the covid pandemic?
Rémy Decoupes, Rodrique Kafando, Mathieu Roche, et al.
AGILE GIScience Series (2021) Vol. 2, pp. 1-8
Open Access | Times Cited: 1
PROLIFERATION OF HEALTH MISINFORMATION ON SOCIAL MEDIA PLATFORMS: A SYSTEMATIC LITERATURE REVIEW
Piyush Vyas, Gitika Vyas, Jun Liu
Issues in Information Systems (2021)
Open Access | Times Cited: 1
An analytical insight of discussions and sentiments of Indians on Omicron-driven third wave of COVID-19 using twitter data
Deepika Vatsa Deepika Vatsa, Ashima Yadav
Research Square (Research Square) (2023)
Open Access
Simulation of Virus Propagation and Acceptance of Socio-Sanitary Measures Through an Intelligent Model
Daniel J. García-Paz, Amparo Alonso‐Betanzos, Bertha Guijarro‐Berdiñas, et al.
(2023), pp. 281-288
Open Access
Page 1

Scroll to top