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:

Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules
Shengda Fan, Shasha Mo, Jianwei Niu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10311-10323
Open Access | Times Cited: 3

Showing 3 citing articles:

Enhancing Logical Rules Based on Self-Distillation for Document-Level Relation Extraction
Yanxu Mao, Tiehan Cui, Ying Ding
Lecture notes in computer science (2024), pp. 406-418
Closed Access

TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
Liang Yu, Kang Zhao
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 27, pp. 1-9
Closed Access

Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules
Liu Yi-chun, Zizhong Zhu, Xiaowang Zhang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2256-2266
Open Access

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