---
title: "Who cites Feng Wang — 170 papers of our library"
description: "170 papers of the Elamur Research library cite the works of Feng Wang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/feng-wang/cited-by/"
---
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# Who cites Feng Wang

170 citations of their works from 170 papers of our library (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · [← Feng Wang](https://md.research.elamur.ai/free/en/authors/feng-wang/)

1. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,013 citations*
2. **[Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 937 citations*
3. **[A Novel Cascade Binary Tagging Framework for Relational Triple Extraction](https://md.research.elamur.ai/free/en/papers/wei-2020-novel-cascade-binary-tagging-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhepei Wei, Jianlin Su, Yue Wang, et al.*2020 · 735 citations*
4. **[A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zexuan Zhong, Danqi Chen*2020 · 630 citations*
5. **[Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangrong Zeng, Daojian Zeng, Shizhu He, et al.*2018 · 610 citations*
6. **[A Joint Neural Model for Information Extraction with Global Features](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ying Lin, Heng Ji, Fei Huang, et al.*2020 · 600 citations*
7. **[TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking](https://md.research.elamur.ai/free/en/papers/wang-2020-tplinker-single-stage-joint-extraction/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yucheng Wang, Bowen Yu, Yueyang Zhang, et al.*2020 · 529 citations*
8. **[GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/fu-2019-graphrel-modeling-text-as-relational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma*2019 · 514 citations*
9. **[Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction](https://md.research.elamur.ai/free/en/papers/zheng-2019-doc2edag-end-end-document-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shun Zheng, Wei Cao, Wei Xu, et al.*2019 · 246 citations*

161 more citing papers of our library have no page here yet.

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