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:

MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae Won Cho, Dong-Jin Kim, YunJae Jung, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8753-8763
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

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

Bisection Neural Network Toward Reconfigurable Hardware Implementation
Yan Chen, Renyuan Zhang, Yirong Kan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 3, pp. 3663-3673
Closed Access | Times Cited: 4

FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis
Z. Y. Deng, Yuqiao Yang, Kenji Suzuki, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2022), pp. 1554-1559
Closed Access | Times Cited: 4

Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim, Jae-Won Cho, Jinsoo Choi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5

Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning
Jiale Zhang, Liangqiong Tu, Jie Cai, et al.
Lecture notes in computer science (2022), pp. 66-83
Closed Access | Times Cited: 3

Evaluating Machine Learning and Deep Learning Analytics for Predicting Bankruptcy of Companies
Prasenjit Sen, Sulaf Assi, Jolnar Assi, et al.
Lecture notes in networks and systems (2024), pp. 407-419
Closed Access

A Novel Active Learning Framework for Cross-Subject Human Activity Recognition from Surface Electromyography
Zhen Ding, Tao Hu, Yanlong Li, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5949-5949
Open Access

Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging
Wahyu Rahmaniar, Z. Y. Deng, Yuqiao Yang, et al.
Intelligent systems reference library (2024), pp. 223-239
Closed Access

DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification
WU Hong-jiang, Yuping Zhong, Guoqiang Han, et al.
Lecture notes in computer science (2024), pp. 260-273
Closed Access

Federated Active Learning Framework for Efficient Annotation Strategy in Skin-Lesion Classification
Z. Y. Deng, Y.S. Yang, Kenji Suzuki
Journal of Investigative Dermatology (2024)
Open Access

Overcoming Overconfidence for Active Learning
Yujin Hwang, Won Jo, Juyoung Hong, et al.
IEEE Access (2024) Vol. 12, pp. 118707-118716
Open Access

An Active Transfer Learning framework for image classification based on Maximum Differentiation Classifier
Peng Zan, Yuerong Wang, Haohao Hu, et al.
Image and Vision Computing (2024), pp. 105401-105401
Closed Access

Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects
Siyamalan Manivannan
Signal Image and Video Processing (2023) Vol. 18, Iss. 3, pp. 2391-2401
Open Access | Times Cited: 1

Data-centric Semi-supervised Learning
Xudong Wang, Long Lian, Stella X. Yu
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1

Exploring Optimal Configurations in Active Learning for Medical Imaging
Alec Parise, Brian Mac Namee
Lecture notes in computer science (2023), pp. 75-88
Closed Access

LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
Inkyu Shin, Dong-Jin Kim, Jae Won Cho, et al.
arXiv (Cornell University) (2021)
Open Access

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