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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:

A neural network multi-task learning approach to biomedical named entity recognition
Gamal Crichton, Sampo Pyysalo, Billy Chiu, et al.
BMC Bioinformatics (2017) Vol. 18, Iss. 1
Open Access | Times Cited: 236

Showing 1-25 of 236 citing articles:

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
裕二 池谷, Robert Tinn, Hao Cheng, et al.
ACM Transactions on Computing for Healthcare (2021) Vol. 3, Iss. 1, pp. 1-23
Open Access | Times Cited: 1227
A Survey on Deep Learning for Named Entity Recognition
Jing Li, Aixin Sun, Jianglei Han, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 1, pp. 50-70
Open Access | Times Cited: 1140
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark E Neumann, Daniel King, Iz Beltagy, et al.
(2019)
Open Access | Times Cited: 615
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
Neurocomputing (2021) Vol. 470, pp. 443-456
Closed Access | Times Cited: 427
Cross-type biomedical named entity recognition with deep multi-task learning
Xuan Wang, Yu Zhang, Xiang Ren, et al.
Bioinformatics (2018) Vol. 35, Iss. 10, pp. 1745-1752
Open Access | Times Cited: 258
Transfer learning for biomedical named entity recognition with neural networks
John Giorgi, Gary D. Bader
Bioinformatics (2018) Vol. 34, Iss. 23, pp. 4087-4094
Open Access | Times Cited: 180
A critical assessment of using ChatGPT for extracting structured data from clinical notes
Jingwei Huang, Donghan M. Yang, Ruichen Rong, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 57
An extensive benchmark study on biomedical text generation and mining with ChatGPT
Qijie Chen, Haotong Sun, Haoyang Liu, et al.
Bioinformatics (2023) Vol. 39, Iss. 9
Open Access | Times Cited: 54
Domain Adaptation: Challenges, Methods, Datasets, and Applications
Peeyush Singhal, Rahee Walambe, Sheela Ramanna, et al.
IEEE Access (2023) Vol. 11, pp. 6973-7020
Open Access | Times Cited: 49
Advancing entity recognition in biomedicine via instruction tuning of large language models
Vipina K. Keloth, Yan Hu, Qianqian Xie, et al.
Bioinformatics (2024) Vol. 40, Iss. 4
Open Access | Times Cited: 20
Clinical concept extraction: A methodology review
Sunyang Fu, David Chen, Huan He, et al.
Journal of Biomedical Informatics (2020) Vol. 109, pp. 103526-103526
Open Access | Times Cited: 132
Cross-Domain NER using Cross-Domain Language Modeling
Jia Chen, Xiaobo Liang, Yue Zhang
(2019)
Open Access | Times Cited: 118
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
Sendong Zhao, Ting Liu, Sicheng Zhao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2019) Vol. 33, Iss. 01, pp. 817-824
Open Access | Times Cited: 111
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
Wonjin Yoon, Chan Ho So, Jinhyuk Lee, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. S10
Open Access | Times Cited: 105
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
Qingyun Wang, Manling Li, Xuan Wang, et al.
(2021)
Open Access | Times Cited: 100
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Yifan Peng, Qingyu Chen, Zhiyong Lu
(2020)
Open Access | Times Cited: 85
Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison
Bosheng Song, Fen Li, Yuansheng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 85
BioELECTRA:Pretrained Biomedical text Encoder using Discriminators
Kamal raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu
(2021)
Open Access | Times Cited: 84
Biomedical Named Entity Recognition with Multilingual BERT
Kai Hakala, Sampo Pyysalo
(2019)
Open Access | Times Cited: 83
Towards reliable named entity recognition in the biomedical domain
John Giorgi, Gary D. Bader
Bioinformatics (2019) Vol. 36, Iss. 1, pp. 280-286
Open Access | Times Cited: 76
MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
Sunil Mohan, Donghui Li
arXiv (Cornell University) (2019)
Open Access | Times Cited: 76
Machine Learning Techniques for Biomedical Natural Language Processing: A Comprehensive Review
Essam H. Houssein, Rehab E. Mohamed, Abdelmgeid A. Ali
IEEE Access (2021) Vol. 9, pp. 140628-140653
Open Access | Times Cited: 67
A Multi-Task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis
Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Luís Alfonso Ureña López, et al.
IEEE Access (2021) Vol. 9, pp. 112478-112489
Open Access | Times Cited: 65
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Honghan Wu, Minhong Wang, Jinge Wu, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 44
A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
Pir Noman Ahmad, Adnan Muhammad Shah, Kang Yoon Lee
Healthcare (2023) Vol. 11, Iss. 9, pp. 1268-1268
Open Access | Times Cited: 29
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