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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:

Technical solution to counter potential crime: Text analysis to detect fake news and disinformation
Rafał Kozik, Sebastian Kula, Michał Choraś, et al.
Journal of Computational Science (2022) Vol. 60, pp. 101576-101576
Closed Access | Times Cited: 23

Showing 23 citing articles:

Tackling misinformation with games: a systematic literature review
Kristian Kiili, Juho Siuko, Manuel Ninaus
Interactive Learning Environments (2024), pp. 1-16
Open Access | Times Cited: 9
Navigating the Web of Disinformation and Misinformation: Large Language Models as Double-Edged Swords
Siddhant Bikram Shah, Surendrabikram Thapa, Ashish Acharya, et al.
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 6
Semantic web-based propaganda text detection from social media using meta-learning
Pir Noman Ahmad, Yuanchao Liu, Khursheed Aurangzeb, et al.
Service Oriented Computing and Applications (2024)
Closed Access | Times Cited: 5
Identification and explanation of disinformation in wiki data streams
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal, et al.
Integrated Computer-Aided Engineering (2025)
Open Access
Advanced Pattern-Mining System for Fake News Analysis
Youcef Djenouri, Asma Belhadi, Gautam Srivastava, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 6, pp. 2949-2958
Closed Access | Times Cited: 14
A Scoping Review of the Relationship of Big Data Analytics with Context-Based Fake News Detection on Digital Media in Data Age
Khurram Shahzad, Shakeel Ahmad Khan, Shakil Ahmad, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14365-14365
Open Access | Times Cited: 16
Fake News Detection Using Deep Learning: A Systematic Literature Review
Mohammad Q. Alnabhan, Paula Branco
IEEE Access (2024) Vol. 12, pp. 114435-114459
Open Access | Times Cited: 3
Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign
Richard Gordon Mayopu, Yiyun Wang, Long‐Sheng Chen
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 81-81
Open Access | Times Cited: 7
Evaluating Deep Learning for Cross-Domains Fake News Detection
Mohammad Q. Alnabhan, Paula Branco
Lecture notes in computer science (2024), pp. 40-51
Closed Access | Times Cited: 2
Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment
Andra Sandu, Liviu‐Adrian Cotfas, Camelia Delcea, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4352-4352
Open Access | Times Cited: 2
Exposing and explaining fake news on-the-fly
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal, et al.
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4615-4637
Open Access | Times Cited: 1
Explainable assessment of financial experts’ credibility by classifying social media forecasts and checking the predictions with actual market data
Silvia García-Méndez, Francisco de Arriba-Pérez, Jaime González‐González, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124515-124515
Open Access | Times Cited: 1
BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation
Mohammad Q. Alnabhan, Paula Branco
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 8, pp. 93-93
Open Access | Times Cited: 1
Novel Trio-Neural Network towards Detecting Fake News on Social Media
T. Devi, K. Jaisharma, N. Deepa
(2022), pp. 1-5
Closed Access | Times Cited: 6
Computational science for a better future
Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszyński, et al.
Journal of Computational Science (2022) Vol. 62, pp. 101745-101745
Closed Access | Times Cited: 3
Combating Fake News in Social Media by Enabling Deep Convolutional Neural Network-Based Detection and Mitigation Strategies
G. Sabera, J. Manoranjini, Mohd Aarif, et al.
(2024), pp. 1-6
Closed Access
A method for analyzing handwritten program flowchart based on detection transformer and logic rules
Huiyong Wang, Shan Gao, Xiaoming Zhang
International Journal on Document Analysis and Recognition (IJDAR) (2024)
Closed Access
Tackling Misinformation with Critical Reading Games: A Systematic Literature Review
Kristian Kiili, Juho Siuko, Manuel Ninaus
(2023)
Open Access | Times Cited: 1
A Federated Convolution Transformer for Fake News Detection
Youcef Djenouri, Ahmed Nabil Belbachir, Tomasz Michalak, et al.
IEEE Transactions on Big Data (2023) Vol. 10, Iss. 3, pp. 214-225
Closed Access | Times Cited: 1
Misinformation Containment Using NLP and Machine Learning
Vishnu S. Pendyala
Advances in computational intelligence and robotics book series (2022), pp. 41-56
Closed Access | Times Cited: 2
Fake News and Threats to IoT—The Crucial Aspects of Cyberspace in the Times of Cyberwar
Aleksandra Pawlicka, Marek Pawlicki, Rafał Kozik, et al.
Springer proceedings in complexity (2023), pp. 31-38
Closed Access
Convergence Between Migrant Smuggling and Trafficking of Goods: Text Analysis of Open-Source Data
Alberto Aziani, Maria Jofre, Marina Mancuso
International Migration Review (2023)
Open Access
Sentiment Classification of Community towards COVID-19 Issues on Twitter (Case Study: Indonesia, March-May 2020)
Nur Ainun Daulay, Rifqi Ramadhan, Lya Hulliyyatus Suadaa
Proceedings of The International Conference on Data Science and Official Statistics (2023) Vol. 2023, Iss. 1, pp. 201-217
Open Access
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