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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:

Fact or Fiction: Verifying Scientific Claims
David Wadden, Shanchuan Lin, Kyle Lo, et al.
(2020)
Open Access | Times Cited: 273

Showing 26-50 of 273 citing articles:

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Qiang Sheng, Xueyao Zhang, Juan Cao, et al.
(2021), pp. 1640-1650
Open Access | Times Cited: 43
DialFact: A Benchmark for Fact-Checking in Dialogue
Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 38
Scholarly knowledge graphs through structuring scholarly communication: a review
Shilpa Verma, Rajesh Bhatia, Sandeep Harit, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 1059-1095
Open Access | Times Cited: 38
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 34
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Amrith Krishna, Sebastian Riedel, Andreas Vlachos
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 1013-1030
Open Access | Times Cited: 33
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 33
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, 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: 30
Task-aware Retrieval with Instructions
Akari Asai, Timo Schick, Patrick Lewis, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 23
Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond
Qianqian Xie, Edward J. Schenck, He S. Yang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22
Rationalization for explainable NLP: a survey
Sai Gurrapu, Ajay Kulkarni, Lifu Huang, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 21
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.
(2023)
Open Access | Times Cited: 20
Fact-Checking Complex Claims with Program-Guided Reasoning
Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.
(2023), pp. 6981-7004
Open Access | Times Cited: 19
Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice
Lu Yuan, Hangshun Jiang, Hao Shen, et al.
Systems (2023) Vol. 11, Iss. 9, pp. 458-458
Open Access | Times Cited: 18
Application of novel hybrid deep learning architectures combining convolutional neural networks (CNN) and recurrent neural networks (RNN): construction duration estimates prediction considering preconstruction uncertainties
Belachew Asteray Demiss, Walied A. Elsaigh
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 032102-032102
Open Access | Times Cited: 7
Evidence Inference 2.0: More Data, Better Models
Jay DeYoung, Eric Lehman, Benjamin Nye, et al.
(2020)
Open Access | Times Cited: 46
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Dustin Wright, David Wadden, Kyle Lo, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 27
Improved Methods to Aid Unsupervised Evidence-Based Fact Checking for Online Heath News
Pritam Deka, Anna Jurek, P Deepak
Journal of Data Intelligence (2022) Vol. 3, Iss. 4, pp. 474-504
Open Access | Times Cited: 26
Automatic Evaluation of Attribution by Large Language Models
Xiang Yue, Boshi Wang, Ziru Chen, et al.
(2023)
Open Access | Times Cited: 16
Evidence-based Factual Error Correction
James Thorne, Andreas Vlachos
(2021), pp. 3298-3309
Open Access | Times Cited: 28
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
Canwen Xu, Daya Guo, Nan Duan, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022)
Open Access | Times Cited: 22
The Role of Context in Detecting Previously Fact-Checked Claims
Shaden Shaar, Firoj Alam, Giovanni Da San Martino, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 21
Robust Benchmark for Propagandist Text Detection and Mining High-Quality Data
Pir Noman Ahmad, Yuanchao Liu, Gauhar Ali, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2668-2668
Open Access | Times Cited: 13
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Yile Wang, Peng Li, Maosong Sun, et al.
(2023)
Open Access | Times Cited: 13
Online health search via multi-dimensional information quality assessment based on deep language models (Preprint)
Boya Zhang, Nona Naderi, Rahul Mishra, et al.
JMIR AI (2024) Vol. 3, pp. e42630-e42630
Open Access | Times Cited: 4
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
Soumyadeep Roy, Aparup Khatua, Fatemeh Ghoochani, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1073-1082
Open Access | Times Cited: 4

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