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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:

Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model
Karlo Babić, Milan Petrović, Slobodan Beliga, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10442-10442
Open Access | Times Cited: 21

Showing 21 citing articles:

Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models
Christos Stefanis, Elpida Giorgi, Konstantinos Kalentzis, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 11
Hybrid Natural Language Processing Model for Sentiment Analysis during Natural Crisis
Marko Horvat, Gordan Gledec, Fran Leontić
Electronics (2024) Vol. 13, Iss. 10, pp. 1991-1991
Open Access | Times Cited: 3
First Insight into Social Media User Sentiment Spreading Potential to Enhance the Conceptual Model for Disinformation Detection
Dino Pitoski, Slobodan Beliga, Ana Meštrović
(2024), pp. 29-35
Closed Access | Times Cited: 2
Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing
Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, et al.
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 12, pp. e31540-e31540
Open Access | Times Cited: 16
Sentiment analysis of tweets and government translations: Assessing China’s post-COVID-19 landscape for signs of withering or booming
Huan Wang, Xiaohui Wang
Global Media and China (2023) Vol. 8, Iss. 2, pp. 213-233
Open Access | Times Cited: 5
Machine Learning and Deep Learning Sentiment Analysis Models: Case Study on the SENT-COVID Corpus of Tweets in Mexican Spanish
Helena Gómez-Adorno, Gemma Bel-Enguix, Gerardo Sierra, et al.
Informatics (2024) Vol. 11, Iss. 2, pp. 24-24
Open Access | Times Cited: 1
Deep learning-based sentiment classification in Amharic using multi-lingual datasets
Senait Gebremichael Tesfagergish, Robertas Damaševičius, Jurgita Kapočiūtė-Dzikienė
Computer Science and Information Systems (2023) Vol. 20, Iss. 4, pp. 1459-1481
Open Access | Times Cited: 4
A Comprehensive Dataset of Spelling Errors and Users’ Corrections in Croatian Language
Gordan Gledec, Marko Horvat, Miljenko Mikuc, et al.
Data (2023) Vol. 8, Iss. 5, pp. 89-89
Open Access | Times Cited: 2
Analyzing Sentiment of Reddit Posts for the Russia-Ukraine War
Armin Krivičić, Sanda Martinčić-Ipšić
(2023), pp. 1709-1714
Closed Access | Times Cited: 2
Characterizing Public Sentiments and Drug Interactions in COVID-19 Pandemic using Social Media: A Natural Language Processing and Network Analysis (Preprint)
Wanxin Li, Yining Hua, Peilin Zhou, et al.
Journal of Medical Internet Research (2024)
Open Access
Prediction of COVID-19 tweeting: classification based on graph neural networks
Milan Petrović, Andrea Hrelja, Ana Meštrović
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) (2022), pp. 307-311
Closed Access | Times Cited: 3
Topic Modeling for Tracking COVID-19 Communication on Twitter
Petar Kristijan Bogović, Ana Meštrović, Sanda Martinčić-Ipšić
Communications in computer and information science (2022), pp. 248-258
Closed Access | Times Cited: 3
Clustering Algorithms in Sentiment Analysis Techniques in Social Media – A Rapid Literature Review
Vasile-Daniel Păvăloaia
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Aportes del personal científico en la divulgación sanitaria en redes sociales durante la pandemia por COVID-19: estudios de caso latinoamericanos
Ana María Vázquez Espinoza, Andrea Bogantes Retana, Andrés Aedo, et al.
(2024)
Open Access
Recursively Autoregressive Autoencoder for Pyramidal Text Representation
Karlo Babić, Ana Meštrović
IEEE Access (2024) Vol. 12, pp. 71361-71370
Open Access
Characterizing Public Sentiments and Drug Interactions during COVID-19: A Pretrained Language Model and Network Analysis of Social Media Discourse (Preprint)
Wanxin Li, Yining Hua, Peilin Zhou, et al.
(2024)
Closed Access
Retweet Prediction Based on Heterogeneous Data Sources: The Combination of Text and Multilayer Network Features
Ana Meštrović, Milan Petrović, Slobodan Beliga
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11216-11216
Open Access | Times Cited: 2
Balanced Reporting and Boomerang Effect: An Analysis of Croatian Online News Sites Vaccination Coverage and User Comments during the COVID-19 Pandemic
Željko Pavić, Adrijana Šuljok, Juraj Jurlina
Vaccines (2022) Vol. 10, Iss. 12, pp. 2085-2085
Open Access | Times Cited: 2
Retweet Prediction based on Heterogeneous Data Sources: The Combination of Text and Multilayer Network Features
Ana Meštrović, Milan Petrović, Slobodan Beliga
(2022)
Open Access | Times Cited: 1
Sentiment of the Tweets on Russo-Ukrainian War: the Social Network Analysis
Andrija Poleksić, Sanda Martinčić-Ipšć
(2023), pp. 1089-1095
Closed Access
The NLP Powered BI Toolkit: The Case of MESOC
Petar Kristijan Bogović, Dino Aljevic, Božidar Kovačić, et al.
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) (2022), pp. 1191-1196
Closed Access
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