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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:

Data Augmentation for Cross-Domain Named Entity Recognition
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Evolution and emerging trends of named entity recognition: Bibliometric analysis from 2000 to 2023
Jun Yang, Taihua Zhang, Chieh-Yuan Tsai, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30053-e30053
Open Access | Times Cited: 9
PromptNER: Prompt Locating and Typing for Named Entity Recognition
Yongliang Shen, Zeqi Tan, Shuhui Wu, et al.
(2023)
Open Access | Times Cited: 18
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions
Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 5, pp. 1-46
Open Access | Times Cited: 11
AUC Maximization for Low-Resource Named Entity Recognition
Ngoc Dang Nguyen, Wei Tan, Lan Du, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13389-13399
Open Access | Times Cited: 10
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction
Zihan Wang, Hanbing Wang, Pengjie Ren, et al.
ACM transactions on office information systems (2025)
Closed Access
Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction
Di Zhao, Wenxuan Mu, Xiangxing Jia, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
Entity-Based Synthetic Data Generation for Named Entity Recognition in Low-Resource Domains
An Dao, Hiroki Teranishi, Yūji Matsumoto, et al.
Lecture notes in computer science (2025), pp. 210-225
Closed Access
UAMNer: uncertainty-aware multimodal named entity recognition in social media posts
Luping Liu, Meiling Wang, Mozhi Zhang, et al.
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 4109-4125
Closed Access | Times Cited: 23
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition
Xinghua Zhang, Bowen Yu, Yubin Wang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)
Open Access | Times Cited: 15
Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts
Thi-Phuong-Uyen PHAN, Nhung Nguyen
(2022), pp. 123-129
Open Access | Times Cited: 12
Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis
Jianfei Yu, Qiankun Zhao, Rui Xia
(2023), pp. 1456-1470
Open Access | Times Cited: 7
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Weiwen Xu, Xin Li, Yang Deng, et al.
(2023)
Open Access | Times Cited: 6
Speculation and negation identification via unified Machine Reading Comprehension frameworks with lexical and syntactic data augmentation
Qian Zhong, Ting Zou, Zihao Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107806-107806
Closed Access | Times Cited: 2
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy
Zhiwei Yang, Jing Ma, Kang Yang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103657-103657
Closed Access | Times Cited: 2
Textual Data Augmentation for NER in Geosciences with LLMs
Elie Maze, Reza Farahbakhsh, Pierre-Emmanuel Barrallon, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 28
Closed Access | Times Cited: 2
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future
Linyi Yang, Yaoxian Song, Xuan Ren, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 4533-4559
Open Access | Times Cited: 5
Computing recommendations from free-form text
Lukas Eberhard, Kristina Popova, Simon Walk, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121268-121268
Open Access | Times Cited: 3
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
Zihan Wang, Ziqi Zhao, Zhumin Chen, et al.
(2023), pp. 2228-2240
Open Access | Times Cited: 3
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
Shuguang Chen, Leonardo Neves, Thamar Solorio
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 5
COSINER: COntext SImilarity data augmentation for Named Entity Recognition
Ilaria Bartolini, Vincenzo Moscato, Marco Postiglione, et al.
Lecture notes in computer science (2022), pp. 11-24
Closed Access | Times Cited: 4
Improving Named Entity Recognition via Bridge-based Domain Adaptation
Jingyun Xu, Changmeng Zheng, Yi Cai, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3869-3882
Open Access | Times Cited: 2
Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation
Qian Zhong, Tiening Sun, Ting Zou, et al.
Lecture notes in computer science (2023), pp. 487-496
Closed Access | Times Cited: 1
Deep learning-based text augmentation for named entity recognition
Tanmay Surana
(2023)
Open Access | Times Cited: 1
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
Xuming Hu, Zhaochen Hong, Yong Jiang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18261-18269
Open Access
Cross-domain NER under a Divide-and-Transfer Paradigm
Xinghua Zhang, Bowen Yu, Xin Cong, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 5, pp. 1-32
Open Access
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