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:

Evidence-aware Fake News Detection with Graph Neural Networks
Weizhi Xu, Junfei Wu, Qiang Liu, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2501-2510
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection
Lianwei Wu, Yuzhou Long, Chao Gao, et al.
Information Fusion (2023) Vol. 100, pp. 101944-101944
Closed Access | Times Cited: 31

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

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Yiqiao Jin, Mohit Chandra, Gaurav Verma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 2627-2638
Open Access | Times Cited: 13

Heterogeneous Subgraph Transformer for Fake News Detection
Yuchen Zhang, Xiaoxiao Ma, Jia Wu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1272-1282
Open Access | Times Cited: 8

Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 2253-2262
Closed Access | Times Cited: 36

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

DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
Jiaying Wu, Bryan Hooi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2582-2593
Open Access | Times Cited: 18

Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks
Junfei Wu, Weizhi Xu, Qiang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 11, pp. 5591-5604
Open Access | Times Cited: 16

Breaking the confinement of fixed nodes: A causality-guided adaptive and interpretable graph neural network architecture
Chao Wang, X. Y. Zhou, Zihao Wang, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126322-126322
Closed Access

CCGN: consistency contrastive-learning graph network for multi-modal fake news detection
ShaoDong Cui, Kaibo Duan, Wen Ma, et al.
Multimedia Systems (2025) Vol. 31, Iss. 2
Closed Access

Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection
Junyou Zhu, Chao Gao, Ze Yin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4652-4663
Closed Access | Times Cited: 4

Synergizing machine learning & symbolic methods: A survey on hybrid approaches to natural language processing
Rrubaa Panchendrarajan, Arkaitz Zubiaga
Expert Systems with Applications (2024) Vol. 251, pp. 124097-124097
Closed Access | Times Cited: 3

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
Xingtong Yu, Chang Zhou, Yuan Fang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 515-526
Open Access | Times Cited: 3

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

Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks
Anu Shrestha, Jason Duran, Francesca Spezzano, et al.
ACM Transactions on the Web (2023) Vol. 18, Iss. 1, pp. 1-24
Closed Access | Times Cited: 7

Semantic Distillation and Structural Alignment Network for Fake News Detection
Shangdong Liu, Xiaofan Yue, Fei Wu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6620-6624
Closed Access | Times Cited: 2

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing
Qiang Liu, Junfei Wu, Shu Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6801-6813
Open Access | Times Cited: 2

FMC: Multimodal fake news detection based on multi-granularity feature fusion and contrastive learning
Facheng Yan, Mingshu Zhang, Bin Wei, et al.
Alexandria Engineering Journal (2024) Vol. 109, pp. 376-393
Open Access | Times Cited: 2

Interpretable Fake News Detection with Graph Evidence
Guo Hao, Weixin Zeng, Jiuyang Tang, et al.
(2023), pp. 659-668
Closed Access | Times Cited: 6

Heterogenous affinity graph inference network for document-level relation extraction
Rongzhen Li, Jiang Zhong, Zhongxuan Xue, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109146-109146
Open Access | Times Cited: 10

Multi-view Counterfactual Contrastive Learning for Fact-checking Fake News Detection
Y. Zhang, Lingou Kong, Sheng Tian, et al.
(2024) Vol. 9, pp. 385-393
Open Access | Times Cited: 1

Building a framework for fake news detection in the health domain
Juan R. Martinez-Rico, Lourdes Araujo, Juan Martínez-Romo
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305362-e0305362
Open Access | Times Cited: 1

Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms
Andrea Ponti, Antonio Candelieri, Ilaria Giordani, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2342-2342
Open Access | Times Cited: 4

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection
Hao Liao, Jinyu Peng, Zhanyi Huang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4461-4472
Open Access | Times Cited: 4

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