OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Exploiting Context for Rumour Detection in Social Media
Arkaitz Zubiaga, Maria Liakata, Rob Procter
Lecture notes in computer science (2017), pp. 109-123
Closed Access | Times Cited: 246

Showing 1-25 of 246 citing articles:

Detection and Resolution of Rumours in Social Media
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, et al.
ACM Computing Surveys (2018) Vol. 51, Iss. 2, pp. 1-36
Open Access | Times Cited: 718

Fake news detection: A hybrid CNN-RNN based deep learning approach
Jamal Abdul Nasir, Osama Subhani Khan, Iraklis Varlamis
International Journal of Information Management Data Insights (2021) Vol. 1, Iss. 1, pp. 100007-100007
Open Access | Times Cited: 440

Deep learning for misinformation detection on online social networks: a survey and new perspectives
Md Rafiqul Islam, Shaowu Liu, Xianzhi Wang, et al.
Social Network Analysis and Mining (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 228

Sentiment Analysis for Fake News Detection
Miguel Á. Alonso, David Vilares, Carlos Gómez‐Rodríguez, et al.
Electronics (2021) Vol. 10, Iss. 11, pp. 1348-1348
Open Access | Times Cited: 158

Hierarchical Multi-modal Contextual Attention Network for Fake News Detection
Shengsheng Qian, Jinguang Wang, Jun Hu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 153-162
Open Access | Times Cited: 150

Fuzzy Detection System for Rumors Through Explainable Adaptive Learning
Zhiwei Guo, Keping Yu, Alireza Jolfaei, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 29, Iss. 12, pp. 3650-3664
Open Access | Times Cited: 120

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: 99

Domain Adaptation: Challenges, Methods, Datasets, and Applications
Peeyush Singhal, Rahee Walambe, Sheela Ramanna, et al.
IEEE Access (2023) Vol. 11, pp. 6973-7020
Open Access | Times Cited: 53

DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection
Ciprian‐Octavian Truică, Elena‐Simona Apostol, Panagiotis Karras
Knowledge-Based Systems (2024) Vol. 294, pp. 111715-111715
Open Access | Times Cited: 26

Discourse-aware rumour stance classification in social media using sequential classifiers
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, et al.
Information Processing & Management (2017) Vol. 54, Iss. 2, pp. 273-290
Open Access | Times Cited: 145

Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks
Youze Wang, Shengsheng Qian, Jun Hu, et al.
(2020), pp. 540-547
Closed Access | Times Cited: 133

FNED
Yang Liu, Yifang Wu
ACM transactions on office information systems (2020) Vol. 38, Iss. 3, pp. 1-33
Closed Access | Times Cited: 124

The Future of False Information Detection on Social Media
Bin Guo, Yasan Ding, Lina Yao, et al.
ACM Computing Surveys (2020) Vol. 53, Iss. 4, pp. 1-36
Closed Access | Times Cited: 98

All-in-one: Multi-task Learning for Rumour Verification
Elena Kochkina, Maria Liakata, Arkaitz Zubiaga
International Conference on Computational Linguistics (2018), pp. 3402-3413
Closed Access | Times Cited: 94

KAN: Knowledge-aware Attention Network for Fake News Detection
Yaqian Dun, Kefei Tu, Chen Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 1, pp. 81-89
Open Access | Times Cited: 77

Rumor Detection on Social Media with Graph Adversarial Contrastive Learning
Tiening Sun, Qian Zhong, Sujun Dong, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2789-2797
Closed Access | Times Cited: 61

Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection
Shengsheng Qian, Jun Hu, Quan Fang, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2021) Vol. 17, Iss. 3, pp. 1-23
Open Access | Times Cited: 59

Multimodal Fake News Detection
Isabel Segura-Bedmar, Santiago Alonso-Bartolome
Information (2022) Vol. 13, Iss. 6, pp. 284-284
Open Access | Times Cited: 59

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media
Mengzhu Sun, Xi Zhang, Jiaqi Zheng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4611-4619
Open Access | Times Cited: 59

A comprehensive Benchmark for fake news detection
Antonio Galli, Elio Masciari, Vincenzo Moscato, et al.
Journal of Intelligent Information Systems (2022) Vol. 59, Iss. 1, pp. 237-261
Open Access | Times Cited: 48

True or False: Studying the Work Practices of Professional Fact-Checkers
Nicholas Micallef, Vivienne Armacost, Nasir Memon, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW1, pp. 1-44
Open Access | Times Cited: 46

PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
Eyal Ben‐David, Nadav Oved, Roi Reichart
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 414-433
Open Access | Times Cited: 42

A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection
Jawaher Alghamdi, Yuqing Lin, Suhuai Luo
Information (2022) Vol. 13, Iss. 12, pp. 576-576
Open Access | Times Cited: 39

Page 1 - Next Page

Scroll to top