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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:

Temporally evolving graph neural network for fake news detection
Chenguang Song, Kai Shu, Bin Wu
Information Processing & Management (2021) Vol. 58, Iss. 6, pp. 102712-102712
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Deep learning for fake news detection: A comprehensive survey
Linmei Hu, Siqi Wei, Ziwang Zhao, et al.
AI Open (2022) Vol. 3, pp. 133-155
Open Access | Times Cited: 94
Multi-view learning with distinguishable feature fusion for rumor detection
Xueqin Chen, Fan Zhou, Goce Trajcevski, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108085-108085
Open Access | Times Cited: 47
Soft-Label for Multi-Domain Fake News Detection
Daokang Wang, Wubo Zhang, Wenhuan Wu, et al.
IEEE Access (2023) Vol. 11, pp. 98596-98606
Open Access | Times Cited: 29
Combating Misinformation in the Era of Generative AI Models
Danni Xu, Shaojing Fan, Mohan Kankanhalli
(2023), pp. 9291-9298
Closed Access | Times Cited: 27
A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion
Suhaib Kh. Hamed, Mohd Juzaiddin Ab Aziz, Mohd Ridzwan Yaakub
Heliyon (2023) Vol. 9, Iss. 10, pp. e20382-e20382
Open Access | Times Cited: 26
AI-Assisted Deep NLP-Based Approach for Prediction of Fake News From Social Media Users
Ganesh Gopal Devarajan, Senthil Murugan Nagarajan, Sardar Irfanullah Amanullah, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 4, pp. 4975-4985
Closed Access | Times Cited: 24
Fake news detection on Pakistani news using machine learning and deep learning
Azka Kishwar, Adeel Zafar
Expert Systems with Applications (2022) Vol. 211, pp. 118558-118558
Closed Access | Times Cited: 33
Dynamic graph neural network for fake news detection
Chenguang Song, Yiyang Teng, Yangfu Zhu, et al.
Neurocomputing (2022) Vol. 505, pp. 362-374
Closed Access | Times Cited: 28
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection
Liwen Peng, Songlei Jian, Zhigang Kan, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103564-103564
Closed Access | Times Cited: 21
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
Mohit Singhal, Chen Ling, Pujan Paudel, et al.
(2023), pp. 868-895
Open Access | Times Cited: 20
Disinformation detection using graph neural networks: a survey
Batool Lakzaei, Mostafa Haghir Chehreghani, Alireza Bagheri
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 5
Concepts of Digital Financial Technologies and Their Legal Nature
Temurbek Pulatov
International Journal of Law and Policy (2025) Vol. 3, Iss. 1, pp. 22-37
Closed Access
Improving Short-Content Misinformation Detection Using Multiple Aspect Trajectories Classification Techniques
Josefa García Sánchez, Tarlis Tortelli Portela, Jônata Tyska Carvalho
Lecture notes in computer science (2025), pp. 125-139
Closed Access
A novel rumor detection method focusing on social psychology with graph attention network
Lina Li, Guoxing Liu, Yu Liu, et al.
Neurocomputing (2025), pp. 129609-129609
Closed Access
Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks
Aleksei Golovin, Nataly Zhukova, Radhakrishnan Delhibabu, et al.
Mathematics (2025) Vol. 13, Iss. 6, pp. 1011-1011
Open Access
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: 25
Causality-based CTR prediction using graph neural networks
Panyu Zhai, Yanwu Yang, Chunjie Zhang
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103137-103137
Open Access | Times Cited: 24
Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection
Xiangguo Sun, Hongzhi Yin, Bo Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 9, pp. 9128-9139
Closed Access | Times Cited: 24
Detecting and classifying online health misinformation with ‘Content Similarity Measure (CSM)’ algorithm: an automated fact-checking-based approach
Yashoda Barve, Jatinderkumar R. Saini
The Journal of Supercomputing (2023) Vol. 79, Iss. 8, pp. 9127-9156
Open Access | Times Cited: 15
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection
Benkuan Cui, Kun Ma, Leping Li, et al.
Applied Intelligence (2023) Vol. 53, Iss. 16, pp. 18971-18988
Open Access | Times Cited: 13
Who can verify this? Finding authorities for rumor verification in Twitter
Fatima Haouari, Tamer Elsayed, Watheq Mansour
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103366-103366
Open Access | Times Cited: 13
DHCF: Dual disentangled-view hierarchical contrastive learning for fake news detection on social media
Haosen Wang, Pan Tang, Hanyue Kong, et al.
Information Sciences (2023) Vol. 645, pp. 119323-119323
Closed Access | Times Cited: 13
Are authorities denying or supporting? Detecting stance of authorities towards rumors in Twitter
Fatima Haouari, Tamer Elsayed
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Dynamic Graph Representation Learning With Neural Networks: A Survey
Leshanshui Yang, Clément Chatelain, Sébastien Adam
IEEE Access (2024) Vol. 12, pp. 43460-43484
Open Access | Times Cited: 4
Domain- and category-style clustering for general fake news detection via contrastive learning
Danke Wu, Zhenhua Tan, Haoran Zhao, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103725-103725
Closed Access | Times Cited: 4
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