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:

COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
Aijaz Ahmad Reshi, Furqan Rustam, Wajdi Aljedaani, et al.
Healthcare (2022) Vol. 10, Iss. 3, pp. 411-411
Open Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Sentiment Analysis of the Waste Problem based on YouTube comments using VADER and Deep Translator
Herman Yuliansyah, Surahma Asti Mulasari, Sulistyawati Sulistyawati, et al.
JURNAL MEDIA INFORMATIKA BUDIDARMA (2024) Vol. 8, Iss. 1, pp. 663-663
Open Access

Validating part of the social media infodemic listening conceptual framework using structural equation modelling
Shu‐Feng Tsao, Helen Chen, Zahid A Butt
EClinicalMedicine (2024) Vol. 70, pp. 102544-102544
Open Access

A Sentiment Analysis on Opinions of COVID-19 Vaccination in Social Networking Site
Yamuna Rajarathanam, Shubashini Rathina Velu
Communications in computer and information science (2024), pp. 297-311
Closed Access

Use of AI Applications to Learn the Sentiment Polarity of Public Perceptions: A Case Study of the COVID-19 Vaccinations in the UAE
Abdulrahman Radaideh, Fikri Dweiri
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 1191-1199
Open Access

Deep Sentiment Analysis System with Attention Mechanism for the COVID-19 Vaccine
Mustafa S. Khalefa, Zainab Amin Al-Sulami, Eman Thabet Khalid, et al.
TEM Journal (2024), pp. 1470-1480
Open Access

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic
Ye Jiang, Xingyi Song, Carolina Scarton, et al.
(2023), pp. 556-567
Open Access | Times Cited: 1

Using XAI Techniques to Persuade Text Classifier Results: A Case Study of Covid-19 Tweets
S Hemdan Hamed, Hazem M. El‐Bakry, Haitham A. El-Ghareeb, et al.
Indian Journal of Science and Technology (2022) Vol. 15, Iss. 30, pp. 1484-1494
Open Access | Times Cited: 2

Opinions for Receiving COVID-19 Vaccines Based on Sentiment Analysis
Jafar Majidpour, Kamal Al-Barznji
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. S01
Open Access | Times Cited: 2

Political Issue or Public Health: the Vaccination Debate on Twitter in Europe
Giordano Paoletti, Lorenzo Dall’Amico, Kyriaki Kalimeri, et al.
arXiv (Cornell University) (2023)
Open Access

Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for the Future
Giuseppe Tradigo, Jayanta Kumar Das, Patrizia Vizza, et al.
Vaccines (2023) Vol. 11, Iss. 9, pp. 1496-1496
Open Access

Unsupervised Learning Based Brand Sentiment Mining using Lexicon Approaches A Study on Amazon Alexa
Ayan Chattopadhyay, Mr. Mukul Basu
Indian Journal of Data Mining (2022) Vol. 2, Iss. 1, pp. 15-20
Open Access

Reliable Knowledge Discovery from Social Media Data in Health Crisis in Developing Countries
Ayesha Naseem, Malik Tahir Hassan, Ateeqa Naseer, et al.
Research Square (Research Square) (2022)
Closed Access

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