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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:

Deep Learning for Fake News Detection in a Pairwise Textual Input Schema
Despoina Mouratidis, Maria Nefeli Nikiforos, Katia Lida Kermanidis
Computation (2021) Vol. 9, Iss. 2, pp. 20-20
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Evaluating the effectiveness of publishers’ features in fake news detection on social media
Ali Jarrahi, Leila Safari
Multimedia Tools and Applications (2022) Vol. 82, Iss. 2, pp. 2913-2939
Open Access | Times Cited: 55
A novel approach to fake news classification using LSTM-based deep learning models
Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
Frontiers in Big Data (2024) Vol. 6
Open Access | Times Cited: 9
Veracity‐Oriented Context‐Aware Large Language Models–Based Prompting Optimization for Fake News Detection
Weiqiang Jin, Yang Gao, Tao Tao, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
Fake Media Detection Based on Natural Language Processing and Blockchain Approaches
Zeinab Shahbazi, Yung-Cheol Byun
IEEE Access (2021) Vol. 9, pp. 128442-128453
Open Access | Times Cited: 45
A systematic literature review and existing challenges toward fake news detection models
Minal Nirav Shah, Amit Ganatra
Social Network Analysis and Mining (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
COVID-19 Fake News Detection using Deep Learning Model
Mahabuba Akhter, Syed Md. Minhaz Hossain, R. Nigar, et al.
Annals of Data Science (2024)
Closed Access | Times Cited: 5
Fake News Detection Across Multiple Domains Using Fuzzy Association Rules
Xiaofeng Xu, Weisha Zhang, Yuanyuan Huang, et al.
Lecture notes in computer science (2025), pp. 1-20
Closed Access
An Enhanced Misinformation Detection Model Based on an Improved Beluga Whale Optimization Algorithm and Cross-Modal Feature Fusion
Guangyu Mu, Xingwang Ju, Huibin Yan, et al.
Biomimetics (2025) Vol. 10, Iss. 3, pp. 128-128
Open Access
Does Context Matter? Effective Deep Learning Approaches to Curb Fake News Dissemination on Social Media
Jawaher Alghamdi, Yuqing Lin, Suhuai Luo
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3345-3345
Open Access | Times Cited: 12
f-FNC: Privacy concerned efficient federated approach for fake news classification
Vikas Khullar, Harjit Singh
Information Sciences (2023) Vol. 639, pp. 119017-119017
Closed Access | Times Cited: 12
Enhanced Multimodal Fake News Detection with Optimal Feature Fusion and Modified Bi-LSTM Architecture
Vikash Kishore, Mukesh Kumar
Cybernetics & Systems (2023), pp. 1-31
Closed Access | Times Cited: 10
Social Networks Fake Account and Fake News Identification with Reliable Deep Learning
N. Kanagavalli, Sai Priya
Intelligent Automation & Soft Computing (2022) Vol. 33, Iss. 1, pp. 191-205
Open Access | Times Cited: 13
Modelos algorítmicos y fact-checking automatizado. Revisión sistemática de la literatura
David García-Marín
Documentación de las Ciencias de la Información (2022) Vol. 45, Iss. 1, pp. 7-16
Open Access | Times Cited: 11
Multiplicative Vector Fusion Model for Detecting Deepfake News in Social Media
Yalamanchili Salini, Jonnadula Harikiran
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4207-4207
Open Access | Times Cited: 6
Do Sentence-Level Sentiment Interactions Matter? Sentiment Mixed Heterogeneous Network for Fake News Detection
Hao Zhang, Zonglin Li, Sannyuya Liu, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 4, pp. 5090-5100
Closed Access | Times Cited: 6
FuDFEND: Fuzzy-Domain for Multi-domain Fake News Detection
Chaoqi Liang, Yu Zhang, Xinyuan Li, et al.
Lecture notes in computer science (2022), pp. 45-57
Open Access | Times Cited: 9
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
Deep Learning with Self-Attention Mechanism for Fake News Detection
Ivana Cvitanović, Marina Bagić Babac
Studies in computational intelligence (2021), pp. 205-229
Closed Access | Times Cited: 11
CSSLnO: Cat Swarm Sea Lion Optimization-based deep learning for fake news detection from social media
Kanthi Kiran Sirra, Shashi Mogalla, K.B. Madhuri
International Journal of Information Technology (2024) Vol. 16, Iss. 7, pp. 4225-4241
Closed Access | Times Cited: 1
AI bot to detect fake COVID‐19 vaccine certificate
Muhammad Arif, Shermin Shamsudheen, F. Ajesh, et al.
IET Information Security (2022) Vol. 16, Iss. 5, pp. 362-372
Open Access | Times Cited: 7
Natural Language Processing with Optimal Deep Learning Based Fake News Classification
Sara A. Althubiti, Fayadh Alenezi, Romany F. Mansour
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 2, pp. 3529-3544
Open Access | Times Cited: 6
Optimal Quad Channel Long Short-Term Memory Based Fake News Classification on English Corpus
Manar Ahmed Hamza, Hala J. Alshahrani, Khaled Tarmissi, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3303-3319
Open Access | Times Cited: 2
An Awareness About Phishing Attack And Fake News Using Machine Learning Technique
R K Kripakrishna, Clara Kanmani. A
2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) (2022), pp. 1-5
Closed Access | Times Cited: 3
Multi-Domain Fake News Detection Based on Serial Attention Networks
Chongfeng Qiu
(2024), pp. 91-96
Closed Access
A Robust Smart Model for Detecting Hindi Fake News on Social Media Platforms Using Hybrid Deep Learning Approach
Vidhya Barpha, Pramod S. Nair
Proceedings in adaptation, learning and optimization (2024), pp. 148-162
Closed Access
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