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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:

COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes
Raj Kumar Gupta, Ajay Vishwanath, Yinping Yang
arXiv (Cornell University) (2020)
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA
Klaifer Garcia, Lilian Berton
Applied Soft Computing (2020) Vol. 101, pp. 107057-107057
Open Access | Times Cited: 331
The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement
Liviu‐Adrian Cotfas, Camelia Delcea, Ioan Roxin, et al.
IEEE Access (2021) Vol. 9, pp. 33203-33223
Open Access | Times Cited: 141
Coronavirus impact on human feelings during 2021 Hajj season via deep learning critical Twitter analysis
Adnan Gutub, Mohd Khaled Yousef Shambour, Muhannad A. Abu‐Hashem
Journal of Engineering Research (2023) Vol. 11, Iss. 1, pp. 100001-100001
Open Access | Times Cited: 26
Classification aware neural topic model for COVID-19 disinformation categorisation
Xingyi Song, Johann Petrak, Ye Jiang, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0247086-e0247086
Open Access | Times Cited: 52
An augmented multilingual Twitter dataset for studying the COVID-19 infodemic
Christian López, Caleb Gallemore
Social Network Analysis and Mining (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 43
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: 38
A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media
Ashutosh Anshul, G. Pranav, Mohammad Zia Ur Rehman, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2872-2888
Closed Access | Times Cited: 13
Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study
Yongtai Liu, Zhijun Yin, Congning Ni, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e42985-e42985
Open Access | Times Cited: 11
High Performance Computing Education
Rajendra K. Raj, Carol J. Romanowski, John Impagliazzo, et al.
(2020), pp. 51-74
Open Access | Times Cited: 21
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1151-e1151
Open Access | Times Cited: 11
Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19
Oguzhan Gencoglu
Machine Learning and Knowledge Extraction (2020) Vol. 2, Iss. 4, pp. 603-616
Open Access | Times Cited: 16
Kawarith: an Arabic Twitter Corpus for Crisis Events
Alaa Ali H Alharbi, Mark Lee
(2021), pp. 42-52
Closed Access | Times Cited: 13
An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic
Christian López, Caleb Gallemore
Research Square (Research Square) (2020)
Closed Access | Times Cited: 12
Roles of Artificial Intelligence and Extended Reality Development in the Post-COVID-19 Era
Chutisant Kerdvibulvech, Zhao Yang Dong
Lecture notes in computer science (2021), pp. 445-454
Closed Access | Times Cited: 11
Mental health effects of COVID-19 lockdowns: A Twitter-based analysis
Sara Colella, Frédéric Dufourt, Vincent A. Hildebrand, et al.
Economics & Human Biology (2023) Vol. 51, pp. 101307-101307
Open Access | Times Cited: 4
Cluster Analysis on Covid-19 Outbreak Sentiments from Twitter Data using K-means Algorithm
Adnan Hussein, Farzana Kabir Ahmad, Siti Kamaruddin
Journal of System and Management Sciences (2021)
Open Access | Times Cited: 10
A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period
Sara Melotte, Mayank Kejriwal
Data (2021) Vol. 6, Iss. 6, pp. 64-64
Open Access | Times Cited: 9
Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame
Sonia Santoveña-Casal, Ma Dolores Fernández Pérez
Technology in Society (2022) Vol. 68, pp. 101877-101877
Open Access | Times Cited: 6
Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter
Mohammad Reza Zarei, Michael Christensen, SARAH EVERTS, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 2
I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic
Hui Xian Lynnette Ng, Roy Ka-Wei Lee, Md Rabiul Awal
(2020), pp. 41-49
Open Access | Times Cited: 5
Sentiment Analysis on Covid-19 Vaccinations in Ireland using Support Vector Machine
Karla Cepeda, Rajesh Jaiswal
(2022), pp. 1-6
Closed Access | Times Cited: 3
Sentiment analiza objava sa društvene mreže Twitter o COVID-19 vakcinama
Filip Zdelar
Zbornik radova Fakulteta tehničkih nauka u Novom Sadu (2024) Vol. 39, Iss. 06, pp. 751-754
Open Access
Analysis of Sentiments and Emotions Attributes of COVID-19-related tweets in the Philippines Using time-Series Analysis
A Bălan, Edward Jay Mansarate Quinto, Mary Jane C. Samonte
(2023), pp. 346-356
Closed Access | Times Cited: 1
MonkeyPox2022Tweets: The First Public Twitter Dataset on the 2022 MonkeyPox Outbreak
Nirmalya Thakur
(2022)
Open Access | Times Cited: 2
MonkeyPox2022Tweets: The First Public Twitter Dataset on the 2022 MonkeyPox Outbreak
Nirmalya Thakur
(2022)
Open Access | Times Cited: 2
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