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:

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

Showing 6 citing articles:

Predicting Engagement of Brazilian Politicians on TikTok: A Machine Learning Approach
Maria Lydia Aroz D’Almeida Santana, José Santana, Pablo Azevedo Sampaio, et al.
Lecture notes in computer science (2025), pp. 387-401
Closed Access

Factors affecting adoption of TikTok among students in The Dhaka City Area.
Mahafizur Rahman Jim, Muhammad I Alam
Business Review (2023) Vol. 18, Iss. 2, pp. 51-69
Open Access | Times Cited: 2

A Hybrid Method of Sentiment Analysis and Machine Learning Algorithm for the U.S. Presidential Election Forecasting
Guocheng Feng, Kaihao Chen, Huaiyu Cai, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 1495-1500
Open Access | Times Cited: 2

Votar en tiempos de desinformación: nuevos patrones informativos y comportamiento electoral.
Grisel Salazar Rebolledo
Estudios Sociológicos de El Colegio de México (2024) Vol. 42, pp. 1-18
Open Access

SİYASAL İLETİŞİMİN YENİ MECRASI:TİKTOK 2022 İTALYA VE BREZİLYA SEÇİMLERİ ÜZERİNE BİR ARAŞTIRMA
Nursel Tokgöz, Yasemin KESKİN YILMAZ
Karadeniz Teknik Üniversitesi İletişim Araştırmaları Dergisi (2024) Vol. 14, Iss. 1, pp. 33-64
Open Access

Visual political communication on Instagram: a comparative study of Brazilian presidential elections
Mathias‐Felipe de‐Lima‐Santos, Isabella Gonçalves, Marcos G. Quiles, et al.
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access

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