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:

Using a Rule-based Model to Detect Arabic Fake News Propagation during Covid-19
Fatimah Alotaibi, Muna M. Alhammad
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

A Fake News Detection System based on Combination of Word Embedded Techniques and Hybrid Deep Learning Model
Mohamed Amine Ouassil, Bouchaib Cherradi, Soufiane HAMIDA, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 10
Open Access | Times Cited: 28

Attention-Enriched Mini-BERT Fake News Analyzer Using the Arabic Language
Husam M. Alawadh, Amerah Alabrah, Talha Meraj, et al.
Future Internet (2023) Vol. 15, Iss. 2, pp. 44-44
Open Access | Times Cited: 7

Linguistic feature fusion for arabic fake news detection and named entity recognition using reinforcement learning and swarm optimization
Abdelghani Dahou, Mohamed Abd Elaziz, Haibaoui Mohamed, et al.
Neurocomputing (2024) Vol. 598, pp. 128078-128078
Closed Access | Times Cited: 2

Hunter Prey Optimization with Hybrid Deep Learning for Fake News Detection on Arabic Corpus
Hala J. Alshahrani, Abdulkhaleq Q. A. Hassan, Khaled Tarmissi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 4255-4272
Open Access | Times Cited: 5

A comparison of artificial intelligence models used for fake news detection
Ștefan Emil REPEDE, Remus Brad
BULLETIN OF CAROL I NATIONAL DEFENCE UNIVERSITY (2023) Vol. 12, Iss. 1, pp. 114-131
Open Access | Times Cited: 3

An artificial intelligence based news feature mining system based on the Internet of Things and multi-sensor fusion
Zhuozheng Xie, Junren Wang
PeerJ Computer Science (2023) Vol. 9, pp. e1428-e1428
Open Access | Times Cited: 3

Fake News Detection in Low Resource Languages using SetFit Framework
Amin Abdedaiem, Abdelhalim Hafedh Dahou, Mohamed Amine Chéragui
INTELIGENCIA ARTIFICIAL (2023) Vol. 26, Iss. 72, pp. 178-201
Open Access | Times Cited: 2

A Review of Fake News Detection Techniques for Arabic Language
Taghreed Alotaibi, Hmood Al-Dossari
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access

An Ensemble Method for Encountering Bogus News in Social Media: A Review
S. Bhargavi, P. Siva Kumar, N. Mounika, et al.
(2024), pp. 321-326
Closed Access

ArFakeDetect: A Deep Learning Approach for Detecting Fabricated Arabic Tweets on COVID-19 Vaccines
Samar M. Abd El-Mageed, Amal Elsayed Aboutabl, Ensaf Hussein Mohamed
(2024) Vol. 101, pp. 103-108
Closed Access

Detection of Arabic and Algerian Fake News
Khaoula Hamadouche, Kheira Zineb Bousmaha, Mohamed Yasine Bahi Amar, et al.
Applied Computer Systems (2024) Vol. 29, Iss. 2, pp. 14-21
Open Access

O comparație a modelelor de inteligență artificială folosite pentru detectarea știrilor false
Ștefan Emil REPEDE, Remus Brad
Buletinul Universității Naționale de Apărare „Carol I” (2023) Vol. 12, Iss. 1, pp. 81-99
Open Access | Times Cited: 1

DBPR: Dynamic Bidirectional Propagation Relationship Graph Convolution Network for Fake News Detection on Social Media
Zihang Wang, Shanliang Pan, Ze Yang
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 254-260
Closed Access

Dezenformasyonun Otomatik Tespiti: Sistematik Bir Haritalama Çalışması
Merve ÖNCÜL, Tuana İrkey, Başak GÖK, et al.
Journal of Polytechnic (2023)
Open Access

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