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 Low-Cost Named Entity Recognition Research Based on Active Learning
Han Huang, Hongyu Wang, Dawei Jin
Scientific Programming (2018) Vol. 2018, pp. 1-10
Open Access | Times Cited: 16

Showing 16 citing articles:

Resume Parsing Framework for E-recruitment
Hira Sajid, Javeria Kanwal, Saeed Ur Rehman Bhatti, et al.
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2022), pp. 1-8
Closed Access | Times Cited: 23

BINER: A low-cost biomedical named entity recognition
Mohsen Asghari, Daniel Sierra-Sosa, Adel Elmaghraby
Information Sciences (2022) Vol. 602, pp. 184-200
Open Access | Times Cited: 21

Active learning approach using a modified least confidence sampling strategy for named entity recognition
Ankit Agrawal, Sarsij Tripathi, Manu Vardhan
Progress in Artificial Intelligence (2021) Vol. 10, Iss. 2, pp. 113-128
Closed Access | Times Cited: 19

Named Entity Recognition and Relationship Extraction for Biomedical Text: A comprehensive survey, recent advancements, and future research directions
Nandita Goyal, Navdeep Singh
Neurocomputing (2024) Vol. 618, pp. 129171-129171
Closed Access | Times Cited: 2

Uncertainty query sampling strategies for active learning of named entity recognition task
Ankit Agrawal, Sarsij Tripathi, Manu Vardhan
Intelligent Decision Technologies (2021) Vol. 15, Iss. 1, pp. 99-114
Closed Access | Times Cited: 4

Biomedical Named Entity Recognition with BiLSTM-EDA: A Deep Learning Approach
R. Shanthakumari, E. M. Roopa Devi, S. Vinothkumar, et al.
Lecture notes in networks and systems (2024), pp. 389-399
Closed Access

An Automatic Multiple Choices with Question using NER
Pranita Jadhav, Shivajirao M. Jadhav
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

A Reinforced Active Learning Sampling for Cybersecurity NER Data Annotation
Smita Srivastava, Deepa Gupta, Biswajit Paul, et al.
(2022), pp. 312-317
Closed Access | Times Cited: 2

Multicore based least confidence query sampling strategy to speed up active learning approach for named entity recognition
Ankit Agrawal, Sarsij Tripathi, Manu Vardhan
Computing (2021) Vol. 105, Iss. 5, pp. 979-997
Closed Access | Times Cited: 2

Real-time salient object detection with boundary information guidance
Yongxiong Wang, Kai Chen, Yan Song
Neurocomputing (2020) Vol. 412, pp. 437-446
Closed Access | Times Cited: 1

Named entity recognition for natural language understanding using BERT model
Sandeep Kumar, Arun Solanki
AIP conference proceedings (2023) Vol. 2977, pp. 040011-040011
Closed Access

Active Learning for Chinese Word Segmentation in Medical Text.
Tingting Cai, Yangming Zhou, Zhiyuan Ma, et al.
arXiv (Cornell University) (2019)
Closed Access

LINYA: Name Entity Recognition Web-based Text Annotation
Jhanika F. Fanlo, Joyce Anne H. Lanceta, Janea Patrizia R. Pascua, et al.
(2022) Vol. 3, pp. 78-82
Closed Access

Sinhala Named Entity Recognition Model: Domain-Specific Classes in Sports
W.M.S.K. Wijesinghe, M. N. S. Tissera
(2022), pp. 138-143
Closed Access

Leveraging Sequential Pattern Information for Active Learning from Sequential Data
Raúl Fidalgo-Merino, Lorenzo Gabrielli, Checchi Enrico
2022 26th International Conference on Pattern Recognition (ICPR) (2021), pp. 6957-6964
Closed Access

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