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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:

IMWMOTE: A novel oversampling technique for fault diagnosis in heterogeneous imbalanced data
Jiaxin Wang, Jianan Wei, Haisong Huang, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123987-123987
Closed Access | Times Cited: 10

Showing 10 citing articles:

A lightweight progressive joint transfer ensemble network inspired by the Markov process for imbalanced mechanical fault diagnosis
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111994-111994
Closed Access | Times Cited: 15
Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation
Mrityunjoy Gain, Asadov Amirjon, Sumit Kumar Dam, et al.
Expert Systems with Applications (2025), pp. 126423-126423
Closed Access
A synergistic oversampling technique with differential evolution and safe level synthetic minority oversampling
Ahmet Cevahir Çınar
Applied Soft Computing (2025), pp. 112819-112819
Closed Access
Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery
Zixu Chen, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112378-112378
Closed Access
Dynamic ensemble fault diagnosis framework with adaptive hierarchical sampling strategy for industrial imbalanced and overlapping data
Haoyan Dong, Chuang Peng, Lei Chen, et al.
Reliability Engineering & System Safety (2025), pp. 110979-110979
Closed Access
Hierarchical Adaptive Wavelet-Guided Adversarial Network with Physics-Informed Regularization for Generating Multiscale Vibration Signals for Deep Learning-Based Fault Diagnosis of Rotating Machines
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Automation (2025) Vol. 6, Iss. 2, pp. 14-14
Open Access
Novel imbalanced multi-class fault diagnosis method using transfer learning and oversampling strategies-based multi-layer support vector machines (ML-SVMs)
Jianan Wei, Hualin Chen, Yage Yuan, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112324-112324
Closed Access | Times Cited: 3
A two-stage learning framework for imbalanced semi-supervised domain generalization fault diagnosis under unknown operating conditions
Chuanxia Jian, Heen Chen, Yinhui Ao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102878-102878
Closed Access | Times Cited: 2
A survey on confidence calibration of deep learning under class imbalance data
Jinzong Dong, Zhaohui Jiang, Dong Pan, et al.
(2024)
Open Access
Geometric relative margin machine for heterogeneous distribution and imbalanced classification
Xiao-Jing Lv, Ling-Wei Huang, Yuan‐Hai Shao
Information Sciences (2024) Vol. 689, pp. 121430-121430
Closed Access
A novel adaptive cost-sensitive convolution neural network based dynamic imbalanced fault diagnosis framework for manufacturing processes
Liang Ma, Fuzhong Shi, Kaixiang Peng
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045430-045430
Closed Access
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