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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:

Egyptian Student Sentiment Analysis Using Word2vec During the Coronavirus (Covid-19) Pandemic
Lamiaa Mostafa
Advances in intelligent systems and computing (2020), pp. 195-203
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach
Yu‐Xing Qi, Zahratu Shabrina
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 77
A study on the sentiments and psychology of twitter users during COVID-19 lockdown period
Ishaani Priyadarshini, Pinaki Mohanty, Raghvendra Kumar, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 19, pp. 27009-27031
Open Access | Times Cited: 53
Emotion Detection in Egyptian Academics Sentiment About ChatGPT Usage in Academic Article Writing Using Word2Vec
Lamiaa Mostafa, Sara Beshir
Lecture notes on data engineering and communications technologies (2025), pp. 146-156
Closed Access
Arabic sentiment analysis about online learning to mitigate covid-19
Manal Mostafa Ali
Journal of Intelligent Systems (2021) Vol. 30, Iss. 1, pp. 524-540
Open Access | Times Cited: 34
Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model
Vaibhav Kumar
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
A new sentiment analysis method to detect and Analyse sentiments of Covid-19 moroccan tweets using a recommender approach
Youness Madani, Mohammed Erritali, Belaid Bouikhalene
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 27819-27838
Open Access | Times Cited: 11
Sentiment analysis with ensemble and machine learning methods in multi-domain datasets
Muhammet Sinan Başarslan, Fatih Kayaalp
Turkish Journal of Engineering (2022) Vol. 7, Iss. 2, pp. 141-148
Open Access | Times Cited: 16
Analyzing the vaccination debate in social media data Pre- and Post-COVID-19 pandemic
Qingqing Chen, Andrew Crooks
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102783-102783
Open Access | Times Cited: 15
Sustainable Artificial Intelligence-Based Twitter Sentiment Analysis on COVID-19 Pandemic
Thavavel Vaiyapuri, Sharath Kumar Jagannathan, Mohammed Altaf Ahmed, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6404-6404
Open Access | Times Cited: 7
Now Look What You’ve Done, COVID-19! The Impact on Academic Survival among Postgraduate Students in Malaysia
Mohamamd Izzamil Mohd Nasir, Muhammad Wafi Ramli, Sofia Haminah Mohd Som
International Journal of Academic Research in Business and Social Sciences (2021) Vol. 11, Iss. 2
Open Access | Times Cited: 13
Effects of the COVID-19 Pandemic on Classrooms: A Case Study on Foreigners in South Korea Using Applied Machine Learning
Imatitikua D. Aiyanyo, Hamman Samuel, Heuiseok Lim
Sustainability (2021) Vol. 13, Iss. 9, pp. 4986-4986
Open Access | Times Cited: 12
Sentiment analysis using a deep ensemble learning model
Muhammet Sinan Başarslan, Fatih Kayaalp
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42207-42231
Closed Access | Times Cited: 4
Boosting Institutional Identity on X Using NLP and Sentiment Analysis: King Faisal University as a Case Study
Khalied M. Albarrak, Shaymaa E. Sorour
Mathematics (2024) Vol. 12, Iss. 12, pp. 1806-1806
Open Access | Times Cited: 1
ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning
Sarah Alhumoud, Asma Al Wazrah, Laila Alhussain, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1507-e1507
Open Access | Times Cited: 4
University Selection Model Using Machine Learning Techniques
Lamiaa Mostafa, Sara Beshir
Advances in intelligent systems and computing (2021), pp. 680-688
Closed Access | Times Cited: 7
Sentiment Analysis on Online Education During Covid Pandemic
K. Chitra, T. Madhumitha, D. Sivabalaselvamani, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2022) Vol. 3, pp. 1043-1048
Closed Access | Times Cited: 3
Social Media Sentiment Analysis Using Twitter Dataset
Naik Ramesh Ram, Sunil Gautum, Aditi Jadeja, et al.
(2024), pp. 1-5
Closed Access
Exploring Sentiments in the Russia-Ukraine Conflict: A Comparative Analysis of KNN, Decision Tree And Logistic Regression Machine Learning Classifiers
Aaryan Sinha, Bijayalaxmi Rout, Sushree Mohanty, et al.
Procedia Computer Science (2024) Vol. 235, pp. 1068-1076
Open Access
Machine Learning-based Voting Classifier for Improving Sentiment Analysis on Twitter Data
Huatao Li
Transactions on Computer Science and Intelligent Systems Research (2024) Vol. 5, pp. 1-9
Open Access
An Overview of Mental Health on Stress Among Students in USM
Nurdiana Binti Md Masud Rana, Nuramirah Binti Rayeesudeen, Nurdyana Aqylah Binti Abdul Jalil, et al.
Asia Pacific Journal of Management and Education (2023) Vol. 6, Iss. 3, pp. 106-116
Open Access | Times Cited: 1
Insights into the effects of the Covid-19 pandemic on postgraduate students at a university of technology
Raisuyah Bhagwan
Perspectives in Education (2023) Vol. 41, Iss. 4
Open Access | Times Cited: 1
You’re Such A Burden, COVID-19! Psychological Impact among Postgraduate Students in Malaysia
Muhammad Wafi Ramli, Mohammad Izzamil Mohd Nasir, Sofia Haminah Mohd Som
International Journal of Academic Research in Business and Social Sciences (2021) Vol. 11, Iss. 4
Open Access | Times Cited: 3
A Tunisian benchmark social media data set for COVID-19 sentiment analysis and sarcasm detection
Asma Mekki, Inès Zribi, Mariem Ellouze, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Analyzing Moroccan Tweets to Extract Sentiments Related to the Coronavirus Pandemic: A New Classification Approach
Youness Madani, Mohammed Erritali, Belaid Bouikhalene
Lecture notes in business information processing (2021), pp. 33-42
Closed Access | Times Cited: 2
Using Natural Language Processing Techniques to Assess the Attitudes of Nursing Students During the COVID-19 Pandemic
Emine Ela Küçük, Dilek Küçük
Advances in computational intelligence and robotics book series (2022), pp. 1-20
Closed Access | Times Cited: 1
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