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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:

Mining Dual Emotion for Fake News Detection
Xueyao Zhang, Juan Cao, Xirong Li, et al.
(2021), pp. 3465-3476
Open Access | Times Cited: 169

Showing 51-75 of 169 citing articles:

Research status of deep learning methods for rumor detection
Li Tan, Ge Wang, Feiyang Jia, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 2, pp. 2941-2982
Open Access | Times Cited: 15
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
Xuming Hu, Zhijiang Guo, GuanYu Wu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 15
Detecting fake news on Chinese social media based on hybrid feature fusion method
Haizhou Wang, Sen Wang, YuHu Han
Expert Systems with Applications (2022) Vol. 208, pp. 118111-118111
Closed Access | Times Cited: 14
Evaluating the generalisability of neural rumour verification models
Elena Kochkina, Tamanna Hossain, Robert L. Logan, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103116-103116
Open Access | Times Cited: 14
Towards Robust False Information Detection on Social Networks with Contrastive Learning
Guanghui Ma, Chunming Hu, Ling Ge, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 1441-1450
Closed Access | Times Cited: 12
An Emotion-Aware Approach for Fake News Detection
Fei Liu, Xinsheng Zhang, Qi Liu
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 3, pp. 3516-3524
Closed Access | Times Cited: 7
MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection
Yupeng Li, Haorui He, Jin Rong Bai, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4018-4027
Open Access | Times Cited: 2
A false emotion opinion target extraction model with two stage BERT and background information fusion
Zhiyang Hou, Yajun Du, Qizhi Li, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123735-123735
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
Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model
Yifeng Luo, Yupeng Li, Dacheng Wen, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4512-4522
Closed Access | Times Cited: 2
A Multifaceted Reasoning Network for Explainable Fake News Detection
L.H. Han, Xiaoming Zhang, Ziyi Zhou, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103822-103822
Closed Access | Times Cited: 2
Which cascade is more decisive in rumor detection on social media: Based on comparison between repost and reply sequences
Yue Yuan, Na Pang, Y. J. Zhang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110857-110857
Closed Access | Times Cited: 6
Interpretable Fake News Detection with Graph Evidence
Guo Hao, Weixin Zeng, Jiuyang Tang, et al.
(2023), pp. 659-668
Closed Access | Times Cited: 6
LIMFA: label-irrelevant multi-domain feature alignment-based fake news detection for unseen domain
Danke Wu, Zhenhua Tan, Haoran Zhao, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 10, pp. 5197-5215
Closed Access | Times Cited: 6
People lie, actions Don't! Modeling infodemic proliferation predictors among social media users
Chahat Raj, Priyanka Meel
Technology in Society (2022) Vol. 68, pp. 101930-101930
Open Access | Times Cited: 10
See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection
Lianwei Wu, Pusheng Liu, Yanning Zhang
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13736-13744
Open Access | Times Cited: 5
Collaborative Mixture-of-Experts Model for Multi-Domain Fake News Detection
Jian Zhao, Zisong Zhao, Lijuan Shi, et al.
Electronics (2023) Vol. 12, Iss. 16, pp. 3440-3440
Open Access | Times Cited: 5
Sensational stories: The role of narrative characteristics in distinguishing real and fake news and predicting their spread
Anne Hamby, Hongmin Kim, Francesca Spezzano
Journal of Business Research (2023) Vol. 170, pp. 114289-114289
Open Access | Times Cited: 5
An emotion-driven, transformer-based network for multimodal fake news detection
Ashima Yadav, Anika Gupta
International Journal of Multimedia Information Retrieval (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Folk Models of Misinformation on Social Media
Filipo Sharevski, Amy Devine, Emma Pieroni, et al.
(2023)
Open Access | Times Cited: 4
Multi-domain Fake News Detection with Fuzzy Labels
Zhenghan Chen, Changzeng Fu, Xunzhu Tang
Lecture notes in computer science (2023), pp. 331-343
Closed Access | Times Cited: 4
Detecting fake information with knowledge-enhanced AutoPrompt
Xun Che, Gang Yang, Yadang Chen, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 14, pp. 7725-7742
Closed Access | Times Cited: 1
CFEVER: A Chinese Fact Extraction and VERification Dataset
Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18626-18634
Open Access | Times Cited: 1
A deep neural network approach for fake news detection using linguistic and psychological features
Keshopan Arunthavachelvan, Shaina Raza, Chen Ding
User Modeling and User-Adapted Interaction (2024) Vol. 34, Iss. 4, pp. 1043-1070
Closed Access | Times Cited: 1
Perceiving AI intervention does not compromise the persuasive effect of fact-checking
Je Hoon Chae, David Tewksbury
New Media & Society (2024)
Open Access | Times Cited: 1

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