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:

Cross-modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2897-2905
Closed Access | Times Cited: 137

Showing 1-25 of 137 citing articles:

Cross-modal augmentation for few-shot multimodal fake news detection
Ye Jiang, Taihang Wang, Xiaoman Xu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109931-109931
Closed Access | Times Cited: 1

AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
Xiaoman Xu, Xiangrun Li, Taihang Wang, et al.
Lecture notes in computer science (2025), pp. 86-100
Closed Access | Times Cited: 1

Multimodal Fake News Detection via CLIP-Guided Learning
Yangming Zhou, Yuzhou Yang, Qichao Ying, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 2825-2830
Open Access | Times Cited: 32

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

Bootstrapping Multi-View Representations for Fake News Detection
Qichao Ying, Xiaoxiao Hu, Yangming Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5384-5392
Open Access | Times Cited: 30

Cross-modal Contrastive Learning for Multimodal Fake News Detection
Longzheng Wang, Chuang Zhang, Hongbo Xu, et al.
(2023), pp. 5696-5704
Open Access | Times Cited: 27

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection
Ziwei Chen, Linmei Hu, Weixin Li, et al.
(2023), pp. 627-638
Open Access | Times Cited: 21

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
Litian Zhang, Xiaoming Zhang, Ziyi Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16777-16785
Open Access | Times Cited: 8

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
An Lao, Qi Zhang, Chongyang Shi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18426-18434
Open Access | Times Cited: 7

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Yangming Zhou, Yuzhou Yang, Qichao Ying, et al.
(2023), pp. 343-352
Open Access | Times Cited: 19

SSM: Stylometric and semantic similarity oriented multimodal fake news detection
Muhammad Imran Nadeem, Kanwal Ahmed, Zhiyun Zheng, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 5, pp. 101559-101559
Open Access | Times Cited: 18

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

A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
Shivani Tufchi, Ashima Yadav, Tanveer Ahmed
International Journal of Multimedia Information Retrieval (2023) Vol. 12, Iss. 2
Closed Access | Times Cited: 18

A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection
Eniafe Festus Ayetiran, Özlem Özgöbek
IEEE Access (2024) Vol. 12, pp. 76133-76153
Open Access | Times Cited: 5

Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection
Bing Wang, Ximing Li, Changchun Li, et al.
Information Fusion (2024) Vol. 111, pp. 102500-102500
Closed Access | Times Cited: 5

Learning Frequency-Aware Cross-Modal Interaction for Multimodal Fake News Detection
Yan Bai, Yanfeng Liu, Yongjun Li
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6568-6579
Closed Access | Times Cited: 5

Hmltnet: multi-modal fake news detection via hierarchical multi-grained features fused with global latent topic
Shaoguo Cui, Linfeng Gong, Tiansong Li
Neural Computing and Applications (2025)
Closed Access

Mdf-Fnd: A Dynamic Fusion Model for Multimodal Fake News Detection
H Y Lv, Wenzhong Yang, Yonghao Yin, et al.
(2025)
Closed Access

Fake news detection based on multi-modal domain adaptation
Xiaopei Wang, Jiana Meng, Di Zhao, et al.
Neural Computing and Applications (2025)
Closed Access

Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media
Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, et al.
Machine Learning (2025) Vol. 114, Iss. 1
Open Access

Fake news detection based on BERT multi-domain and multi-modal fusion network
Kai Yu, S. Jiao, Zhilong Ma
Computer Vision and Image Understanding (2025), pp. 104301-104301
Closed Access

Enhancing credibility assessment in online social networks using multimodal deep learning
Monika Chaudhary, Satyendra Singh Chouhan
Applied Soft Computing (2025) Vol. 171, pp. 112796-112796
Closed Access

What’s Real News Today? A Multimodal, Continual-Learning Approach for Detecting Fake News Over Time
Luca Maiano, Martina Evangelisti, Silvia Bianchini, et al.
Lecture notes in computer science (2025), pp. 381-395
Closed Access

DCCMA-Net: Disentanglement-based cross-modal clues mining and aggregation network for explainable multimodal fake news detection
Siqi Wei, Zheng Wang, Meiling Li, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104089-104089
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

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