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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:

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: 715

Showing 1-25 of 715 citing articles:

Fake News Detection on Social Media
Kai Shu, Amy Sliva, Suhang Wang, et al.
ACM SIGKDD Explorations Newsletter (2017) Vol. 19, Iss. 1, pp. 22-36
Closed Access | Times Cited: 2556
A Survey of Fake News
Xinyi Zhou, Reza Zafarani
ACM Computing Surveys (2020) Vol. 53, Iss. 5, pp. 1-40
Open Access | Times Cited: 695
The spread of low-credibility content by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 567
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 547
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
Jing Ma, Wei Gao, Kam‐Fai Wong
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2018)
Open Access | Times Cited: 542
A survey on fake news and rumour detection techniques
Alessandro Bondielli, Francesco Marcelloni
Information Sciences (2019) Vol. 497, pp. 38-55
Open Access | Times Cited: 508
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
Multimedia Tools and Applications (2021) Vol. 80, Iss. 8, pp. 11765-11788
Open Access | Times Cited: 496
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: 437
Combating Fake News
Karishma Sharma, Feng Qian, He Jiang, et al.
ACM Transactions on Intelligent Systems and Technology (2019) Vol. 10, Iss. 3, pp. 1-42
Closed Access | Times Cited: 417
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Priyanka Meel, Dinesh Kumar Vishwakarma
Expert Systems with Applications (2019) Vol. 153, pp. 112986-112986
Closed Access | Times Cited: 415
An exploratory study of COVID-19 misinformation on Twitter
Gautam Kishore Shahi, Anne Dirkson, Tim A. Majchrzak
Online Social Networks and Media (2021) Vol. 22, pp. 100104-100104
Open Access | Times Cited: 320
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2017)
Open Access | Times Cited: 291
Applications of artificial intelligence for disaster management
Wenjuan Sun, Paolo Bocchini, Brian D. Davison
Natural Hazards (2020) Vol. 103, Iss. 3, pp. 2631-2689
Closed Access | Times Cited: 289
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
Xinyi Zhou, Reza Zafarani
arXiv (Cornell University) (2020) Vol. 53, Iss. 5, pp. 1-40
Open Access | Times Cited: 258
Fake news, disinformation and misinformation in social media: a review
Esma Aı̈meur, Sabrine Amri, Gilles Brassard
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 246
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: 245
Deep learning for deepfakes creation and detection: A survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung T. Nguyen, et al.
Computer Vision and Image Understanding (2022) Vol. 223, pp. 103525-103525
Open Access | Times Cited: 226
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: 225
Exploiting Multi-domain Visual Information for Fake News Detection
Peng Qi, Juan Cao, Tianyun Yang, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2019), pp. 518-527
Open Access | Times Cited: 221
Stance Detection
Dilek Küçük, Fazlı Can
ACM Computing Surveys (2020) Vol. 53, Iss. 1, pp. 1-37
Closed Access | Times Cited: 218
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours
Genevieve Gorrell, Elena Kochkina, Maria Liakata, et al.
(2019)
Open Access | Times Cited: 215
Detecting breaking news rumors of emerging topics in social media
Sarah A. Alkhodair, Steven H. H. Ding, Benjamin C. M. Fung, et al.
Information Processing & Management (2019) Vol. 57, Iss. 2, pp. 102018-102018
Closed Access | Times Cited: 213
COVIDLies: Detecting COVID-19 Misinformation on Social Media
Tamanna Hossain, Robert L. Logan, Arjuna Ugarte, et al.
(2020)
Open Access | Times Cited: 199
A Survey on Automated Fact-Checking
Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 178-206
Open Access | Times Cited: 199
Stance detection on social media: State of the art and trends
Abeer Aldayel, Walid Magdy
Information Processing & Management (2021) Vol. 58, Iss. 4, pp. 102597-102597
Open Access | Times Cited: 197
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