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:

Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data
Carol Shofiya, Samina Abidi
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5993-5993
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

Sentiment Analysis Towards Kartu Prakerja Using Text Mining with Support Vector Machine and Radial Basis Function Kernel
Belindha Ayu Ardhani, Nur Chamidah, Toha Saifudin
Journal of Information Systems Engineering and Business Intelligence (2021) Vol. 7, Iss. 2, pp. 119-119
Open Access | Times Cited: 6

Sentiment Analysis on Acceptance of New Normal in COVID-19 Pandemic using Naïve Bayes Algorithm
Siti Hajar Aishah Samsudin, Norlina Mohd Sabri, Norulhidayah Isa, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 9
Open Access | Times Cited: 4

A Review on Twitter Data Sentiment Analysis Related to COVID-19
Tasleema Noor, Rakesh Kumar Godi
Smart innovation, systems and technologies (2023), pp. 593-609
Closed Access | Times Cited: 2

Analysing sentiment change detection of Covid-19 tweets
Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21433-21443
Open Access | Times Cited: 2

Intelligent Recommendations Based on COVID-19 Related Twitter Sentiment Analysis and Fake Tweet Detection in Apache Spark Environment
Dima Badawi
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 4965-4988
Closed Access | Times Cited: 2

Teleworker Experiences in #COVID-19
Rigoberto García-Contreras, J. Patricia Muñoz-Chávez, David Valle-Cruz, et al.
Advances in web technologies and engineering book series (2022), pp. 388-412
Closed Access | Times Cited: 3

Social Media Sentiment Analysis Related to COVID-19 Vaccinations
Evridiki Kapoteli, Vasiliki Chouliara, Paraskevas Koukaras, et al.
Intelligent systems reference library (2022), pp. 47-69
Closed Access | Times Cited: 3

Basic Alert Generator for Potentially Fraudulent Investment Platforms
Betty Valle Fiallos, Silvio Amable Machuca Vivar, Mario Leon Naranjo, et al.
Lecture notes in networks and systems (2024), pp. 167-173
Closed Access

Sentiment Analysis of Covid Vaccine Myths using Various Data Visualization Tools
Tarandeep Kaur Bhatia, Samagya Rathi, Thipendra P. Singh, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access

Sentiment Analysis of Pandemic Tweets with COVID-19 as a Prototype
Mashail Almutiri, Mona Alghamdi, Hanan Elazhary
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access

Sentiment Analysis of COVID-19 Tweets Through Flair PyTorch, Emojis, and TextBlob
Manikandan Natesan, S. Silvia Priscila
Advances in computational intelligence and robotics book series (2024), pp. 275-289
Closed Access

A Strategy for Network multi-layer Information Fusion Based on Multimodel in User Emotional Polarity Analysis
Ronghua Wang, Peng Zhuang
International Journal of Cognitive Computing in Engineering (2024)
Open Access

Sentiment analysis of COVID-19 related social distancing using twitter data based on deep learning
Lanxue Dang, Chunyu Wang, Ming‐Hsiang Tsou, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 32587-32612
Closed Access | Times Cited: 1

Social Media Sentiment Analysis: Online versus ‘Brick and Mortar’ Retailers in South Africa
Nkosivile Welcome Madinga, James Lappeman
Journal of African Business (2022) Vol. 24, Iss. 2, pp. 345-362
Closed Access | Times Cited: 2

Measuring the Impact of Language Models in Sentiment Analysis for Mexico’s COVID-19 Pandemic
Edgar León-Sandoval, Mahdi Zareei, Liliana Ibeth Barbosa-Santillán, et al.
Electronics (2022) Vol. 11, Iss. 16, pp. 2483-2483
Open Access | Times Cited: 2

Understanding Alcohol Use Discourse and Stigma Patterns in Perinatal Care on Twitter
Fritz Culp, Yuqi Wu, Dezhi Wu, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2375-2375
Open Access | Times Cited: 2

Sentiment Analysis of Tweets Using Deep Learning
Jaishree Ranganathan, Tsega Tsahai
Lecture notes in computer science (2022), pp. 106-117
Closed Access | Times Cited: 2

Fake News Detection on COVID 19 tweets via Supervised Learning Approach
Maria Cevallos, Matteo De Biase, Eugenio Vocaturo, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 2765-2772
Closed Access | Times Cited: 2

Context-Based Visual Sentiment Analysis for Social Media Data
Dunya Jasim Mohammed, Hiba J. Aleqabie
(2022), pp. 1-5
Closed Access | Times Cited: 2

Sentiment Analysis on Government Performance in Tourism During The COVID-19 Pandemic Period With Lexicon Based
Adri Priadana, Ahmad Ashril Rizal
CAUCHY Jurnal Matematika Murni dan Aplikasi (2021) Vol. 7, Iss. 1, pp. 28-39
Open Access | Times Cited: 2

Twitter Sentiment Analysis towards COVID-19 Vaccines: A Case Study in New York City
Kotcharat Kitchat, Kitti Limjumroonrat, Thattapon Surasak
(2021), pp. 1-6
Closed Access | Times Cited: 2

Sentiment Analysis for COVID-19 Related Tweets Using Deep Bi-Directional Transformers
Matthew Theodore C. Roque, Edwin Sybingco, Argel A. Bandala, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2022), pp. 1-6
Closed Access | Times Cited: 1

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