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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 26-50 of 120 citing articles:

A Transformer-Based Spatio-Temporal Graph Neural Network for Anomaly Detection on Dynamic Graphs
Y. Gao, Qingsheng Zhu, Xuanhua Shi, et al.
Communications in computer and information science (2025), pp. 202-217
Closed Access
Multimodal fake news detection model using improved heuristic approach with optimal weighted integration and dilated adaptive deep learning
Vikash Kishore, Mukesh Kumar
Intelligent Data Analysis (2025)
Closed Access
A GNN-Based False Data Detection Scheme for Smart Grids
Junhong Qiu, Xinxin Zhang, Tao Wang, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 166-166
Open 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 novel hybrid multi-thread metaheuristic approach for fake news detection in social media
Güngör Yıldırım
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 11182-11202
Open Access | Times Cited: 20
Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications — A comprehensive review
Manel Khazri Khlifi, Wadii Boulila, Imed Riadh Farah
Computer Science Review (2023) Vol. 50, pp. 100596-100596
Closed Access | Times Cited: 12
Disinformation: A Bibliometric Review
Shixiong Wang, Fangfang Su, Lu Ye, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16849-16849
Open Access | Times Cited: 17
Preventing profiling for ethical fake news detection
Liesbeth Allein, Marie‐Francine Moens, Domenico Perrotta
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103206-103206
Open Access | Times Cited: 16
Meta-prompt based learning for low-resource false information detection
Yinqiu Huang, Min Gao, Jia Wang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103279-103279
Closed Access | Times Cited: 10
Identifying multimodal misinformation leveraging novelty detection and emotion recognition
Rina Kumari, Nischal Ashok, P. K. Agrawal, et al.
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 3, pp. 673-694
Open Access | Times Cited: 10
Detecting Stance of Authorities Towards Rumors in Arabic Tweets: A Preliminary Study
Fatima Haouari, Tamer Elsayed
Lecture notes in computer science (2023), pp. 430-438
Closed Access | Times Cited: 9
Multi-contextual learning in disinformation research: A review of challenges, approaches, and opportunities
Bhaskarjyoti Das, Sudarshan T‏S‏B‏
Online Social Networks and Media (2023) Vol. 34-35, pp. 100247-100247
Closed Access | Times Cited: 9
Predicting Information Pathways Across Online Communities
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1044-1056
Open Access | Times Cited: 9
Fake News Detection through Graph-based Neural Networks: A Survey
Shuzhi Gong, Richard Sinnott, Jianzhong Qi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 9
DSMM: A dual stance-aware multi-task model for rumour veracity on social networks
Guanghui Ma, Chunming Hu, Ling Ge, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103528-103528
Open Access | Times Cited: 9
FNNet: a secure ensemble-based approach for fake news detection using blockchain
Poonam Rani, Jyoti Shokeen
The Journal of Supercomputing (2024) Vol. 80, Iss. 14, pp. 20042-20079
Closed Access | Times Cited: 3
Robust graph learning with graph convolutional network
Yingying Wan, Changan Yuan, Mengmeng Zhan, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102916-102916
Closed Access | Times Cited: 14
How do scientific papers from different journal tiers gain attention on social media?
Renmeng Cao, Xiao Fan Liu, Zhichao Fang, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103152-103152
Closed Access | Times Cited: 14
TGOpt
Yufeng Wang, Charith Mendis
(2023), pp. 354-368
Closed Access | Times Cited: 8
An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network
Junaid Ali Reshi, Rashid Ali
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. 8, Iss. 6, pp. 38-38
Open Access | Times Cited: 8
Combating health misinformation on social media through fact-checking: The effect of threat appraisal, coping appraisal, and empathy
Mingfei Sun, Xiaoyue Ma
Telematics and Informatics (2023) Vol. 84, pp. 102031-102031
Closed Access | Times Cited: 8
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks
Ujun Jeong, Kaize Ding, Lu Cheng, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022)
Open Access | Times Cited: 12
Deep active learning for misinformation detection using geometric deep learning
Giorgio Barnabò, Federico Siciliano, Carlos Castillo, et al.
Online Social Networks and Media (2023) Vol. 33, pp. 100244-100244
Closed Access | Times Cited: 7
CNFRD: A Few-Shot Rumor Detection Framework via Capsule Network for COVID-19
Danroujing Chen, Xiaoliang Chen, Peng Lu, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 7
MFDS-STGCN: Predicting the Behaviors of College Students With Fine-Grained Spatial-Temporal Activities Data
Dongbo Zhou, Hongwei Yu, Jie Yu, et al.
IEEE Transactions on Emerging Topics in Computing (2024) Vol. 12, Iss. 1, pp. 254-265
Closed Access | Times Cited: 2

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