Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Fault severity classification of ball bearing using SinGAN and deep convolutional neural network
P. Akhenia, Keval Bhavsar, Jaimin Panchal, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2021) Vol. 236, Iss. 7, pp. 3864-3877
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, et al.
IEEE Access (2023) Vol. 11, pp. 118253-118267
Open Access | Times Cited: 51
Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models
Milind Shah, Vinay Vakharia, Rakesh Chaudhari, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 1-2, pp. 723-736
Open Access | Times Cited: 65
Short-Term Electrical Load Forecasting Based on VMD and GRU-TCN Hybrid Network
Changchun Cai, Yuanjia Li, Zhenghua Su, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6647-6647
Open Access | Times Cited: 52
A Comparative Study to Predict Bearing Degradation Using Discrete Wavelet Transform (DWT), Tabular Generative Adversarial Networks (TGAN) and Machine Learning Models
Keval Bhavsar, Vinay Vakharia, Rakesh Chaudhari, et al.
Machines (2022) Vol. 10, Iss. 3, pp. 176-176
Open Access | Times Cited: 40
Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model
Vinay Vakharia, Jay Vora, Sakshum Khanna, et al.
Journal of Materials Research and Technology (2022) Vol. 18, pp. 325-337
Open Access | Times Cited: 39
Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 33
Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review
Diwang Ruan, Xuran Chen, Clemens Gühmann, et al.
Lubricants (2023) Vol. 11, Iss. 2, pp. 74-74
Open Access | Times Cited: 22
Hybrid perovskites thin films morphology identification by adapting multiscale-SinGAN architecture, heat transfer search optimized feature selection and machine learning algorithms
Vinay Vakharia, Milind Shah, Venish Suthar, et al.
Physica Scripta (2022) Vol. 98, Iss. 2, pp. 025203-025203
Closed Access | Times Cited: 35
Fault Diagnosis Method for Rolling Bearings Based on Two-Channel CNN under Unbalanced Datasets
Yufeng Qin, Xianjun Shi
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8474-8474
Open Access | Times Cited: 24
Multi-scale attention mechanism residual neural network for fault diagnosis of rolling bearings
Yan Wang, Jie Liang, Xiaoguang Gu, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 20, pp. 10615-10629
Closed Access | Times Cited: 22
A new dual-channel convolutional neural network and its application in rolling bearing fault diagnosis
Baoquan Hu, Jun Liu, Rongzhen Zhao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096130-096130
Closed Access | Times Cited: 5
Fault Diagnosis in a Centrifugal Pump Using MODWPT and SVMA
Mit Shah, Pina Bhatt, Keval Bhavsar, et al.
Lecture notes in mechanical engineering (2025), pp. 213-223
Closed Access
Theoretical investigation of convex representation based interpretable time-frequency weight optimization for Machine health monitoring
Tongtong Yan, Dong Wang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112625-112625
Closed Access
Fast Robust Capsule Network With Dynamic Pruning and Multiscale Mutual Information Maximization for Compound-Fault Diagnosis
Hao Chen, Xianbo Wang, Zhi-Xin Yang
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 838-847
Closed Access | Times Cited: 17
Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method
Hoki Kim, Sangho Lee, Jaewook Lee, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 130, pp. 107980-107980
Closed Access | Times Cited: 3
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder
Hao Chen, Xianbo Wang, Zhi-Xin Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124256-124256
Closed Access | Times Cited: 3
A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection
Xingjun Gao, Chuansheng Huang, Shuai Teng, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9244-9244
Open Access | Times Cited: 14
Convolutional Neural Network Based Two-Layer Transfer Learning for Bearing Fault Diagnosis
Wanpeng Zhang, Peng Zhang, Xiaohan He, et al.
IEEE Access (2022) Vol. 10, pp. 109779-109794
Open Access | Times Cited: 13
Identification of faults in ball bearing using maximum overlap discrete wavelet transform and mutual information
Swapnil Vegad, Jaimin Panchal, Keval Bhavsar, et al.
AIP conference proceedings (2024) Vol. 3023, pp. 020003-020003
Closed Access | Times Cited: 2
A Multifaceted Deep Generative Adversarial Networks Model for Mobile Malware Detection
Fahad Alotaibi, Fawad Fawad
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9403-9403
Open Access | Times Cited: 12
Rolling bearing fault diagnosis based on improved VMD-adaptive wavelet threshold joint noise reduction
Jinghua Ma, Honglei Li, Baoping Tang, et al.
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 10, pp. 168781322211283-168781322211283
Open Access | Times Cited: 11
Watershed prioritization and decision-making based on weighted sum analysis, feature ranking, and machine learning techniques
Kishanlal Darji, Dhruvesh Patel, Vinay Vakharia, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 6
A Cross Working Condition Multiscale Recursive Feature Fusion Method for Fault Diagnosis of Rolling Bearing in Multiple Working Conditions
Zhiqiang Zhang, Funa Zhou, Sijie Li
IEEE Access (2022) Vol. 10, pp. 78502-78518
Open Access | Times Cited: 8
Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples
Zengbing Xu, C.K.M. Lee, Yaqiong Lv, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5543-5543
Open Access | Times Cited: 8
A stable and robust fault diagnosis method for bearing using lightweight batch normalization-free residual network
B.H. Zhu, Chunmeng He
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106115-106115
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top