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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:

Text Mining and Determinants of Sentiments towards the COVID-19 Vaccine Booster of Twitter Users in Malaysia
Song‐Quan Ong, Maisarah Binti Mohamed Pauzi, Keng Hoon Gan
Healthcare (2022) Vol. 10, Iss. 6, pp. 994-994
Open Access | Times Cited: 12

Showing 12 citing articles:

A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
Pir Noman Ahmad, Adnan Muhammad Shah, Kang Yoon Lee
Healthcare (2023) Vol. 11, Iss. 9, pp. 1268-1268
Open Access | Times Cited: 28
Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review
Shujie Zang, Xu Zhang, Yuting Xing, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e40057-e40057
Open Access | Times Cited: 13
Comparison of Impressions of COVID-19 Vaccination and Influenza Vaccination in Japan by Analyzing Social Media Using Text Mining
Yoshiro Mori, Nobuyuki Miyatake, Hiromi Suzuki, et al.
Vaccines (2023) Vol. 11, Iss. 8, pp. 1327-1327
Open Access | Times Cited: 8
A Comprehensive Review on Transformers Models For Text Classification
Rania Kora, Ammar Mohammed
(2023), pp. 1-7
Closed Access | Times Cited: 6
Leveraging Topic Modelling to Analyze Biomedical Research Trends from the PubMed Database Using LDA Method
Yuri Pamungkas
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2024) Vol. 13, Iss. 2, pp. 237-244
Open Access | Times Cited: 1
Review: machine and deep learning methods in Malaysia for COVID-19
Mohammed Adam Kunna Azrag, Jasni Mohamad Zain, Tuty Asmawaty Abdul Kadir, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 1, pp. 514-514
Open Access | Times Cited: 3
Exploring social media posts on lifestyle behaviors: a sentiment and content analysis approach (Preprint)
Yan Yee Yip, Mohd Ridzwan Yaakub, Mohd Makmor‐Bakry, et al.
JMIR Infodemiology (2024)
Open Access
Tracking mosquito-borne diseases via social media: a machine learning approach to topic modelling and sentiment analysis
Song‐Quan Ong, Hamdan Ahmad
PeerJ (2024) Vol. 12, pp. e17045-e17045
Open Access
Have Your Say! Malaysian X (Twitter) Users Speak Their Minds About COVID-19 Vaccination
Nor Eisya Shabila Ismail, Su Hie Ting
Human Behavior, Development and Society (2024) Vol. 25, Iss. 1, pp. 51-62
Open Access
Social Media Text Analysis on Public’s Sentiments of Covid-19 Booster Vaccines
Yohan Kristian, Adira Valdi Yesenia, Safina Safina, et al.
Lecture notes in computer science (2023), pp. 209-224
Closed Access | Times Cited: 1
Pengetahuan dan Sikap Pelaku Usaha di Kecamatan Mulyorejo terkait Vaksinasi COVID-19 Dosis Lanjutan (Booster)
Sonia Futti Ameldy, Salsabila Qatrunnada Arka Prameswari, Five Nadia Pasaribu, et al.
Jurnal Farmasi Komunitas (2023) Vol. 10, Iss. 2, pp. 104-110
Open Access
The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
Ge Zhan, Fuming Yang, Liangbo Zhang, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 2071-2071
Open Access
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