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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:

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks
K. Ruwani M. Fernando, Chris P. Tsokos
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 7, pp. 2940-2951
Closed Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Performance analysis of cost-sensitive learning methods with application to imbalanced medical data
Ibomoiye Domor Mienye, Yanxia Sun
Informatics in Medicine Unlocked (2021) Vol. 25, pp. 100690-100690
Open Access | Times Cited: 115
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization
Shen Yan, Xiang Zhong, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109522-109522
Open Access | Times Cited: 42
Cost-sensitive learning for imbalanced medical data: a review
Imane Araf, Ali Idri, Ikram Chairi
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 26
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102436-102436
Closed Access | Times Cited: 18
What makes multi-class imbalanced problems difficult? An experimental study
Mateusz Lango, Jerzy Stefanowski
Expert Systems with Applications (2022) Vol. 199, pp. 116962-116962
Closed Access | Times Cited: 55
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data
Zhijun Ren, Yongsheng Zhu, Wei Kang, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108296-108296
Closed Access | Times Cited: 48
A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification
Zhaozhao Xu, Derong Shen, Yue Kou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 3, pp. 3740-3753
Closed Access | Times Cited: 41
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges
Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka
IEEE Transactions on Artificial Intelligence (2022) Vol. 3, Iss. 6, pp. 973-993
Closed Access | Times Cited: 40
Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation
K. Ruwani M. Fernando, Chris P. Tsokos
Information Fusion (2022) Vol. 92, pp. 450-465
Open Access | Times Cited: 39
ID-RDRL: a deep reinforcement learning-based feature selection intrusion detection model
Kezhou Ren, Yifan Zeng, Zhiqin Cao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 38
Automated Endoscopic Image Classification via Deep Neural Network With Class Imbalance Loss
Guanghui Yue, Peishan Wei, Yun Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Customized deep learning for precipitation bias correction and downscaling
Fang Wang, Di Tian, Mark Carroll
Geoscientific model development (2023) Vol. 16, Iss. 2, pp. 535-556
Open Access | Times Cited: 25
Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 14
Class overlap handling methods in imbalanced domain: A comprehensive survey
A. Kumar, Dinesh Singh, Rama Shankar Yadav
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63243-63290
Closed Access | Times Cited: 11
Medical long-tailed learning for imbalanced data: Bibliometric analysis
Zheng Wu, Kehua Guo, Entao Luo, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108106-108106
Closed Access | Times Cited: 10
Semantic segmentation of coastal aerial/satellite images using Deep Learning techniques: an application to coastline detection
Pietro Scala, Giorgio Manno, Giuseppe Ciraolo
Computers & Geosciences (2024) Vol. 192, pp. 105704-105704
Closed Access | Times Cited: 9
Encoder–decoder graph neural network for credit card fraud detection
Asma Cherif, Heyfa Ammar, Manal Kalkatawi, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102003-102003
Open Access | Times Cited: 8
Enhancing PV power forecasting accuracy through nonlinear weather correction based on multi-task learning
Zhirui Tian, Yujie Chen, Guangyu Wang
Applied Energy (2025) Vol. 386, pp. 125525-125525
Closed Access | Times Cited: 1
A neural network learning algorithm for highly imbalanced data classification
Zhan ao Huang, Yongsheng Sang, Yanan Sun, et al.
Information Sciences (2022) Vol. 612, pp. 496-513
Closed Access | Times Cited: 37
Machine Learning With Variational AutoEncoder for Imbalanced Datasets in Intrusion Detection
Ying‐Dar Lin, Ziqiang Liu, Ren‐Hung Hwang, et al.
IEEE Access (2022) Vol. 10, pp. 15247-15260
Open Access | Times Cited: 30
MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection
Jinghong Lan, Xudong Liu, Bo Li, et al.
Computers & Security (2022) Vol. 123, pp. 102919-102919
Closed Access | Times Cited: 28
Dynamic learning for imbalanced data in learning chest X-ray and CT images
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16807-e16807
Open Access | Times Cited: 20
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
Sarthak Pati, Siddhesh Thakur, İbrahim Ethem Hamamcı, et al.
Communications Engineering (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 19
Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing
Gyeongho Kim, Jae Gyeong Choi, Minjoo Ku, et al.
Computers & Industrial Engineering (2023) Vol. 181, pp. 109286-109286
Closed Access | Times Cited: 18
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