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 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets
Miftahul Qorib, Timothy Oladunni, Max Denis, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 10, pp. 5803-5803
Open Access | Times Cited: 11

Showing 11 citing articles:

Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public
Sotirios Gyftopoulos, George Drosatos, Giuseppe Fico, et al.
Behavioral Sciences (2024) Vol. 14, Iss. 2, pp. 128-128
Open Access | Times Cited: 4

Clarifying Misunderstandings in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy: A Systematic Review
Lorena Barberia, Belinda Lombard, Norton Trevisan Roman, et al.
Research Square (Research Square) (2025)
Closed Access

Comparing the accuracy of ANN with transformer models for sentiment analysis of tweets related to COVID-19 Pfizer vaccines
Xuanyi Wu, Bingkun Wang, Wenling Li
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115105-115105
Closed Access | Times Cited: 2

COVID-19 Vaccine Hesitancy Among Healthcare Workers: A Phenomenological Study of Skepticism
Parvathy Thampy, Shweta Sharma, Pragya Joshi, et al.
Cureus (2024)
Open Access | Times Cited: 1

Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review
Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2517-e2517
Open Access | Times Cited: 1

Textual Emotion Analysis-based Disabled People Talking Using Improved Metaheuristics with Deep Learning Techniques for Intelligent Systems
Haya Mesfer Alshahrani, Ishfaq Yaseen, Suhanda Drar
Deleted Journal (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 3

Modified Aquila Optimizer with Stacked Deep Learning-Based Sentiment Analysis of COVID-19 Tweets
Ahmed S. Almasoud, Hala J. Alshahrani, Abdulkhaleq Q. A. Hassan, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4125-4125
Open Access | Times Cited: 3

Unveiling Sentiments in Javanese Text: A Study on Sentiment Analysis for the Javanese Language
Raymasterio Vera Lucky, Baladiffa Aurora Herkanyaka, Vieri Ferdian Putra Basuki, et al.
(2023), pp. 1-6
Closed Access

A Review of Sentimental Analysis for Vaccine Dataset Using BI-LSTM Method
Alok Soreng, Safdar Sardar Khan, Arpit Deo
(2023), pp. 1-13
Closed Access

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