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:

Monitoring People’s Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic
Ali Al-Laith, Mamdouh Alenezi
Information (2021) Vol. 12, Iss. 2, pp. 86-86
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Benchmarking a large Twitter dataset for Arabic emotion analysis
Ahmed El-Sayed, Mohamed S. Abougabal, Shaimaa Lazem
SN Applied Sciences (2023) Vol. 5, Iss. 8
Open Access | Times Cited: 1

Multi-Versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis on Arabic Corpus
Mesfer Al Duhayyim, Badriyya B. Al-onazi, Jaber S. Alzahrani, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 3, pp. 3049-3065
Open Access | Times Cited: 1

Correlation Analysis of Spatio-temporal Arabic COVID-19 Tweets
Tarek Elsaka, Imad Afyouni, Mohamed Hashem, et al.
(2021), pp. 14-17
Closed Access | Times Cited: 3

Exploring Sentiment Analysis on Arabic Tweets about the COIVD-19 Vaccines
Wesam H. Alsabban
Tehnički glasnik (2022) Vol. 16, Iss. 2, pp. 268-272
Open Access | Times Cited: 2

Benchmarking a Large Twitter Dataset for Arabic Emotion Analysis
Ahmed El-Sayed, Shaimaa Lazem, Mohamed S. Abougabal
Research Square (Research Square) (2022)
Closed Access | Times Cited: 2

Sentiment analysis of messages on Twitter related to COVID-19 using deep learning approach
Chotika Imvimol, Prabhas Chongstitvatana
(2021), pp. 363-367
Closed Access | Times Cited: 2

An Improved Emotion-based Analysis of Arabic Twitter Data using Deep Learning
Ahmed El-Sayed, Shaimaa Lazem, Mohamed S. Abougabal
(2021) Vol. 20, pp. 175-178
Closed Access | Times Cited: 2

Multi-scale Sentiment Analysis of Location-Enriched COVID-19 Arabic Social Data
Tarek Elsaka, Imad Afyouni, Mohamed Hashem, et al.
Lecture notes in computer science (2021), pp. 194-203
Closed Access | Times Cited: 1

Impact of tweets on Indian movies performance: An integrative approach using sentiment analysis and emotion detection
Prof. Gaurav Sarin, Rhythm Agarwal, Ekta Goyal
Research Square (Research Square) (2023)
Open Access

WITHDRAWN: Emotion Detection in Arabic Short Text: A Deep-Learning Approach
Fatima Aljwari, Nuha Zamzami
Research Square (Research Square) (2023)
Open Access

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