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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:

ClaimsKG: A Knowledge Graph of Fact-Checked Claims
Andon Tchechmedjiev, Pavlos Fafalios, Katarina Boland, et al.
Lecture notes in computer science (2019), pp. 309-324
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Domain-specific knowledge graphs: A survey
Bilal Abu-Salih
Journal of Network and Computer Applications (2021) Vol. 185, pp. 103076-103076
Open Access | Times Cited: 257
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: 238
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Fahim Dalvi, et al.
(2021)
Open Access | Times Cited: 116
That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, et al.
(2020)
Open Access | Times Cited: 115
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Firoj Alam, Fahim Dalvi, Shaden Shaar, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2021) Vol. 15, pp. 913-922
Open Access | Times Cited: 77
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barrón‐Cedeño, Tamer Elsayed, Preslav Nakov, et al.
Lecture notes in computer science (2020), pp. 215-236
Closed Access | Times Cited: 76
Combating Fake News: Stakeholder Interventions and Potential Solutions
Ankur Gupta, Neeraj Kumar, Purnendu Prabhat, et al.
IEEE Access (2022) Vol. 10, pp. 78268-78289
Open Access | Times Cited: 43
DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection
Mohit Mayank, Shakshi Sharma, Rajesh Sharma
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2022), pp. 47-51
Open Access | Times Cited: 42
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
Bilal Abu-Salih, Muhammad Al‐Qurishi, Mohammed Alweshah, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 27
Overview of the CLEF–2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, et al.
Lecture notes in computer science (2021), pp. 264-291
Open Access | Times Cited: 53
Combining vagueness detection with deep learning to identify fake news
Paul Guélorget, Benjamin Icard, Guillaume Gadek, et al.
2021 IEEE 24th International Conference on Information Fusion (FUSION) (2021) Vol. abs 1304 6777, pp. 1-8
Open Access | Times Cited: 43
Semantic Knowledge Graphs for the News: A Review
Andreas L. Opdahl, Tareq Al-Moslmi, Duc‐Tien Dang‐Nguyen, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-38
Open Access | Times Cited: 36
Knowledge Graphs on the Web -- an Overview
Nicolas Heist, Sven Hertling, Daniel Ringler, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 42
Deep Learning-Based Knowledge Graph Generation for COVID-19
Taejin Kim, Yeoil Yun, Namgyu Kim
Sustainability (2021) Vol. 13, Iss. 4, pp. 2276-2276
Open Access | Times Cited: 32
Overview of the CLEF–2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
Preslav Nakov, Alberto Barrón‐Cedeño, Giovanni Da San Martino, et al.
Lecture notes in computer science (2022), pp. 495-520
Closed Access | Times Cited: 26
Explaining Misleading Claims Using Graphs of Entities
Kateřina Haniková
Lecture notes in computer science (2025), pp. 94-103
Closed Access
Claim Matching Beyond English to Scale Global Fact-Checking
Ashkan Kazemi, Kiran Garimella, Devin Gaffney, et al.
(2021)
Open Access | Times Cited: 29
KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection
Wei Cui, Mingsheng Shang
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 12
The COVID-19 Infodemic
Kevin Roitero, Michael Soprano, Beatrice Portelli, et al.
(2020), pp. 1305-1314
Open Access | Times Cited: 29
Overview of the CLEF-2021 CheckThat! Lab: Task 3 on Fake News Detection.
Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl
CLEF (Working Notes) (2021), pp. 406-423
Closed Access | Times Cited: 24
Novel Knowledge Graph- and Knowledge Reasoning-Based Classification Prototype for OBIA Using High Resolution Remote Sensing Imagery
Zhao Gun, Jianyu Chen
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 321-321
Open Access | Times Cited: 9
Scrutinizer
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, et al.
Proceedings of the VLDB Endowment (2020) Vol. 13, Iss. 12, pp. 2508-2521
Closed Access | Times Cited: 25
Can The Crowd Identify Misinformation Objectively?
Kevin Roitero, Michael Soprano, Shaoyang Fan, et al.
(2020)
Open Access | Times Cited: 22
The Choice of Textual Knowledge Base in Automated Claim Checking
Dominik Stammbach, Boya Zhang, Elliott Ash
Journal of Data and Information Quality (2023) Vol. 15, Iss. 1, pp. 1-22
Closed Access | Times Cited: 7
Keyword Search over RDF Using Document-Centric Information Retrieval Systems
Giorgos Kadilierakis, Pavlos Fafalios, Panagiotis Papadakos, et al.
Lecture notes in computer science (2020), pp. 121-137
Open Access | Times Cited: 19
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