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:

Highly imbalanced fault classification of wind turbines using data resampling and hybrid ensemble method approach
Subhajit Chatterjee, Yung-Cheol Byun
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107104-107104
Closed Access | Times Cited: 21

Showing 21 citing articles:

Leveraging Generative Adversarial Networks for Data Augmentation to Improve Fault Detection in Wind Turbines with Imbalanced Data
Subhajit Chatterjee, Yung-Cheol Byun
Results in Engineering (2025), pp. 103991-103991
Open Access | Times Cited: 2

Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes
Hanwen Fan, Haiying Jia, Xuzhuo He, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110311-110311
Closed Access | Times Cited: 11

Global wavelet-integrated residual frequency attention regularized network for hypersonic flight vehicle fault diagnosis with imbalanced data
Yutong Dong, Hongkai Jiang, Yunpeng Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107968-107968
Closed Access | Times Cited: 9

Highly imbalanced fault diagnosis of turbine blade cracks via deep focal dynamically weighted conditional variational auto-encoder network
Xin Huang, Xiaodong Zhang, Yiwei Xiong, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102612-102612
Closed Access | Times Cited: 7

A multi-domain adversarial transfer network for cross domain fault diagnosis under imbalanced data
Guofa Li, Shaoyang Liu, Jialong He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108948-108948
Closed Access | Times Cited: 5

A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems
Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 5

Enhancing failure mode classification of RC beam-column joints using logistic regression and hybrid sampling strategy
Zecheng Yu, Bo Yu, Bing Li
Engineering Structures (2025) Vol. 327, pp. 119542-119542
Closed Access

Multi-Fault Classification Method for Wind Turbine with Class Imbalance Data
Subhajit Chatterjee, Joon‐Min Gil, Yung-Cheol Byun
Lecture notes in electrical engineering (2025), pp. 16-21
Closed Access

A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data
Lean Yu, Mengxin Li, Xiaojun Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123745-123745
Closed Access | Times Cited: 4

Recent advances and applications of machine learning in the variable renewable energy sector
Subhajit Chatterjee, Prince Waqas Khan, Yung-Cheol Byun
Energy Reports (2024) Vol. 12, pp. 5044-5065
Open Access | Times Cited: 4

Classification of Highly Imbalanced Supervisory Control and Data Acquisition Data for Fault Detection of Wind Turbine Generators
Jorge Maldonado-Correa, Marcelo Valdiviezo-Condolo, Estefanía Artigao, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1590-1590
Open Access | Times Cited: 3

Blending is all you need: Data-centric ensemble synthetic data
Alex X. Wang, Colin R Simpson, Binh P. Nguyen
Information Sciences (2024) Vol. 691, pp. 121610-121610
Open Access | Times Cited: 3

Wind energy system fault classification using deep CNN and improved PSO‐tuned extreme gradient boosting
Chun‐Yao Lee, Edu Daryl C. Maceren
IET Renewable Power Generation (2024)
Open Access | Times Cited: 2

Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing Loan Prediction
Rini Muzayanah, Apri Dwi Lestari, Jumanto Jumanto, et al.
Scientific Journal of Informatics (2024) Vol. 11, Iss. 1, pp. 245-254
Open Access | Times Cited: 1

An MCDM approach for Reverse vaccinology model to predict bacterial protective antigens
Pratik Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu
Vaccine (2024) Vol. 42, Iss. 18, pp. 3874-3882
Closed Access

A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data
Zhenzhen Wang, Junde Xie, Jia Zhang
IEEE Access (2024) Vol. 12, pp. 189776-189788
Open Access

Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning
Shuangxin Wang, Hongrui Li, Jiading Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109716-109716
Closed Access

Instance gravity oversampling method for software defect prediction
Yu Tang, Yang Zhou, Cheng Yang, et al.
Information and Software Technology (2024), pp. 107657-107657
Closed Access

Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies
Adaiton Oliveira-Filho, Monelle Comeau, James Cave, et al.
Energies (2024) Vol. 18, Iss. 1, pp. 59-59
Open Access

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