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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:

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

Showing 19 citing articles:

Deep Active Learning for Computer Vision Tasks: Methodologies, Applications, and Challenges
Mingfei Wu, Chen Li, Zehuan Yao
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8103-8103
Open Access | Times Cited: 34
Efficient and accurate face mask detection with active learning and optimized convolutional neural networks with transfer learning
Adel A. Alyoubi
Intelligent Decision Technologies (2025)
Closed Access
Efficient artificial intelligence-based assessment of the gastroesophageal valve with Hill classification through active learning
Ioannis Kafetzis, Karl‐Hermann Fuchs, Philipp Sodmann, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Application of named entity recognition on tweets during earthquake disaster: a deep learning-based approach
Nazmiye Eligüzel, Cihan Çetinkaya, Türkay Dereli
Soft Computing (2021) Vol. 26, Iss. 1, pp. 395-421
Closed Access | Times Cited: 23
Effects of data and entity ablation on multitask learning models for biomedical entity recognition
Nicholas E. Rodriguez, Mai Thanh Thi Nguyen, Bridget T. McInnes
Journal of Biomedical Informatics (2022) Vol. 130, pp. 104062-104062
Open Access | Times Cited: 9
Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness
Jiaxing Liu, Zoie Shui-Yee Wong
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 11, pp. 2632-2640
Closed Access | Times Cited: 1
A Semi-Supervised Active Learning Method for Structured Data Enhancement with Small Samples
Fangling Leng, Fan Li, Wei Lv, et al.
Mathematics (2024) Vol. 12, Iss. 17, pp. 2634-2634
Open Access | Times Cited: 1
PMAL: A Proxy Model Active Learning Approach for Vision Based Industrial Applications
Abbas Khan, Ijaz Ul Haq, Tanveer Hussain, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2022) Vol. 18, Iss. 2s, pp. 1-18
Open Access | Times Cited: 4
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
Yu Huang, Yufei Tang, Xingquan Zhu, et al.
IEEE Access (2022) Vol. 10, pp. 112909-112920
Open Access | Times Cited: 4
Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks
Philipp Kohl, Yoka Krämer, Claudia Fohry, et al.
Communications in computer and information science (2024), pp. 84-106
Closed Access
Active Learning with Pre-trained Language Models for Named Entity Recognition in Requirements Engineering
Michael Riesener, Maximilian Kühn, S. Schümmelfeder, et al.
Procedia CIRP (2024) Vol. 128, pp. 339-344
Open Access
SBC-AL: Structure and Boundary Consistency-Based Active Learning for Medical Image Segmentation
Tian Zhou, Jin Yang, Lingguo Cui, et al.
Lecture notes in computer science (2024), pp. 283-293
Closed Access
Detection and Classification of Liver Lesions Using Vision Transformer and Active Learning
Thuong‐Cang Phan, Chi-Hung Ho, Anh-Cang Phan
Communications in computer and information science (2024), pp. 208-224
Closed Access
Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts
Qi Ye, Tingting Cai, Xiang Ji, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
A study of deep active learning methods to reduce labelling efforts in biomedical relation extraction
Charlotte Nachtegael, Jacopo De Stefani, Tom Lenaerts
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0292356-e0292356
Open Access | Times Cited: 1
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
On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning
Daniel Kałuża, Andrzej Janusz, Dominik Ślęzak
Lecture notes in computer science (2023), pp. 479-494
Closed Access
Subsequence and Distant Supervision based Active Learning for Relation Extraction of Chinese Medical Texts
Qi Ye, Tingting Cai, Tong Ruan, et al.
Research Square (Research Square) (2022)
Open Access
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
Yu Huang, Yufei Tang, Xingquan Zhu, et al.
arXiv (Cornell University) (2021)
Open Access
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