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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:

A network-based positive and unlabeled learning approach for fake news detection
Mariana Caravanti de Souza, Bruno Magalhães Nogueira, Rafael Geraldeli Rossi, et al.
Machine Learning (2021) Vol. 111, Iss. 10, pp. 3549-3592
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A review of semi-supervised learning for text classification
José Márcio Duarte, Lilian Berton
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9401-9469
Open Access | Times Cited: 40
A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
Medeswara Rao Kondamudi, Somya Ranjan Sahoo, Lokesh Chouhan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101571-101571
Open Access | Times Cited: 31
Fighting disinformation with artificial intelligence: fundamentals, advances and challenges
Andrés Montoro-Montarroso, Javier Cantón-Correa, Paolo Rosso, et al.
El Profesional de la Informacion (2023)
Open Access | Times Cited: 20
Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network
Jinguang Wang, Shengsheng Qian, Jun Hu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 234-244
Closed Access | Times Cited: 18
One-class learning for fake news detection through multimodal variational autoencoders
Marcos Paulo Silva Gôlo, Mariana Caravanti de Souza, Rafael Geraldeli Rossi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106088-106088
Closed Access | Times Cited: 16
Keywords attention for fake news detection using few positive labels
Mariana Caravanti de Souza, Marcos Paulo Silva Gôlo, Alípio Mário Guedes Jorge, et al.
Information Sciences (2024) Vol. 663, pp. 120300-120300
Closed Access | Times Cited: 6
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
One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification
Marcos Paulo Silva Gôlo, Josimar Araújo de Medeiros, Diego Furtado Silva, et al.
Information Sciences (2025) Vol. 708, pp. 122060-122060
Closed Access
Detecting Fake News: Exploring Key Features in Multilingual Arabic Dialect Corpus
Hocini Abdelouahab, Kamel Smaı̈li
Communications in computer and information science (2025), pp. 236-248
Open Access
LOSS-GAT: Label propagation and one-class semi-supervised graph attention network for fake news detection
Batool Lakzaei, Mostafa Haghir Chehreghani, Alireza Bagheri
Applied Soft Computing (2025), pp. 112965-112965
Open Access
Fake News Detection on Social Media Through a Hybrid SVM-KNN Approach Leveraging Social Capital Variables
P. Dedeepya, Manasa Yarrarapu, Prabhat Kumar, et al.
(2024), pp. 1168-1175
Closed Access | Times Cited: 2
Fake news detection: recent trends and challenges
Hemang Thakar, Brijesh Bhatt
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 2
Fake News Detection Revisited: An Extensive Review of Theoretical Frameworks, Dataset Assessments, Model Constraints, and Forward-Looking Research Agendas
Sheetal Harris, Hassan Jalil Hadi, Naveed Ahmad, et al.
Technologies (2024) Vol. 12, Iss. 11, pp. 222-222
Open Access | Times Cited: 2
Fake News Detection System Using Featured-Based Optimized MSVM Classification
Ravish, Rahul Katarya, Deepak Dahiya, et al.
IEEE Access (2022) Vol. 10, pp. 113184-113199
Open Access | Times Cited: 11
An Online Fake Review Detection Approach Using Famous Machine Learning Algorithms
Asma Hassan Alshehri
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 2767-2786
Open Access | Times Cited: 1
Absolute Value Inequality SVM for the PU Learning Problem
Yongjia Yuan, Fusheng Bai
Mathematics (2024) Vol. 12, Iss. 10, pp. 1454-1454
Open Access | Times Cited: 1
Face Reconstruction-Based Generalized Deepfake Detection Model with Residual Outlook Attention
Zenan Shi, Wenyu Liu, Haipeng Chen
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 1
Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection
Jie Zhang, Pak Wai Chan, Michael K. Ng
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4423-4423
Open Access | Times Cited: 1
I-S$$^2$$FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection
Shivani Sri Varshini U, Praneetha Sree R., M. Srinivas, et al.
Journal of Intelligent Information Systems (2023) Vol. 62, Iss. 2, pp. 355-375
Closed Access | Times Cited: 3
A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges
Alok Mishra, Halima Sadia
(2023), pp. 28-28
Open Access | Times Cited: 3
On the Use of Early Fusion Operators on Heterogeneous Graph Neural Networks for One-Class Learning
Marcos Paulo Silva Gôlo, Marcelo Isaias de Moraes, Rudinei Goularte, et al.
(2023) Vol. 9, pp. 128-136
Closed Access | Times Cited: 2
Integrating Metaheuristics and Two-Tiered Classification for Enhanced Fake News Detection with Feature Optimization
Poonam Narang, Ajay Vikram Singh, Himanshu Monga
ICST Transactions on Scalable Information Systems (2024)
Open Access
Classificação de Fake News utilizando o dataset LIAR
Guilherme Veiga Santos Pinto, Ramices dos Santos Silva, Rudimar L. Scaranto Dazzi, et al.
(2024), pp. 230-235
Open Access
A multi-objective evolutionary algorithm for robust positive-unlabeled learning
Jianfeng Qiu, Qi Tang, Ming Tan, et al.
Information Sciences (2024) Vol. 678, pp. 120992-120992
Closed Access
Fine-Tuning RoBERTa for Truthfulness Classification: A Case Study on the LIAR Dataset
Hemang Thakar, Brijesh Bhatt
Research Square (Research Square) (2024)
Open Access
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