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:

A survey on the use of data and opinion mining in social media to political electoral outcomes prediction
Jéssica S. Santos, Flávia Bernardini, Aline Paes
Social Network Analysis and Mining (2021) Vol. 11, Iss. 1
Closed Access | Times Cited: 17

Showing 17 citing articles:

Machine learning for predicting elections in Latin America based on social media engagement and polls
Kellyton Brito, Paulo J. L. Adeodato
Government Information Quarterly (2022) Vol. 40, Iss. 1, pp. 101782-101782
Open Access | Times Cited: 21

The Role of Social Media Platforms in Forecasting Elections: A Comparison of Twitter and Facebook
Tapio Vepsäläinen, Hongxiu Li, Reima Suomi
Digital Government Research and Practice (2024) Vol. 5, Iss. 3, pp. 1-15
Open Access | Times Cited: 2

The use and impact of TikTok in the 2022 Brazilian presidential election
Juliana Lima, Maria Lydia Aroz D’Almeida Santana, Andreiwid Sheffer Corrêa, et al.
(2023), pp. 144-152
Closed Access | Times Cited: 6

Stop trying to predict elections only with twitter – There are other data sources and technical issues to be improved
Kellyton Brito, Rogério Luiz Cardoso Silva Filho, Paulo J. L. Adeodato
Government Information Quarterly (2023) Vol. 41, Iss. 1, pp. 101899-101899
Closed Access | Times Cited: 4

Predicting the 2024 Mexican Presidential Election with Social Media
Hector Abel Gutierrez, Mahdi Zareei, Alejandro de León Languré, et al.
Lecture notes in computer science (2024), pp. 224-233
Closed Access | Times Cited: 1

Financial sentiment analysis: Classic methods vs. deep learning models
Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, et al.
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 893-915
Open Access | Times Cited: 2

Please stop trying to predict elections only with Twitter
Kellyton Brito, Rogério Luiz Cardoso Silva Filho, Paulo J. L. Adeodato
(2022), pp. 88-95
Closed Access | Times Cited: 4

A Hybrid Hierarchical Mathematical Heuristic Solution of Sparse Algebraic Equations in Sentiment Analysis
Maryam Jalali, Morteza Zahedi, Abdorreza Alavi Gharahbagh, et al.
Information (2024) Vol. 15, Iss. 9, pp. 513-513
Open Access

BERTweet.BR: a pre-trained language model for tweets in Portuguese
Fernando Carneiro, Daniela Vianna, Jonnathan Carvalho, et al.
Neural Computing and Applications (2024)
Closed Access

Design and analysis of tweet-based election models for the 2021 Mexican legislative election
Alejandro Vigna-Gómez, J. Murillo, Manelik Ramirez, et al.
EPJ Data Science (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 1

On the importance of pre-processing in small-scale analyses of twitter: a case study of the 2019 Indian general election
Priyavrat Chauhan, Nonita Sharma, Geeta Sikka
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19219-19258
Closed Access | Times Cited: 1

Extracting Unique Discussions of Interests for Entrepreneurs and Managers in a Set of Business Tweets Without Any Human Bias
Jafar Mansouri, Fabrice Cavarretta, Wassim Swaileh, et al.
IEEE Access (2023) Vol. 11, pp. 144258-144273
Open Access | Times Cited: 1

Location-based Sentiment Analysis of 2019 Nigeria Presidential Election Using A Voting Ensemble Approach
Ikechukwu Onyenwe, Samuel N. C. Nwagbo, Rita Orji, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1

The Good, the Bad, and the Neutral: Twitter Users’ Opinion on the ASUU Strike
Abubakar Sadiq Muhammad, Müesser Nat
Informing Science The International Journal of an Emerging Transdiscipline (2022) Vol. 25, pp. 183-196
Open Access | Times Cited: 1

Location-based Sentiment Analysis of 2019 Nigeria Presidential Election using a Voting Ensemble Approach
Ikechukwu Onyenwe, Samuel N. C. Nwagbo, Ebele Onyedinma Onyedinma, et al.
International Journal on Natural Language Computing (2023) Vol. 12, Iss. 1, pp. 1-22
Open Access

LocBERT: Improving Social Media User Location Prediction Using Fine-Tuned BERT
Asif Khan, Huaping Zhang, Nada Boudjellal, et al.
Communications in computer and information science (2023), pp. 23-32
Closed Access

Similarity-Based Dataset Recommendation Across Languages and Domains to Sentiment Analysis in the Electoral Domain
Jéssica S. Santos, Flávia Bernardini, Aline Paes
Lecture notes in computer science (2022), pp. 107-123
Closed Access

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