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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:

A Fault Diagnosis Approach Based on 2D-Vibration Imaging for Bearing Faults
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 7, pp. 3121-3134
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Anurag Choudhary, Rismaya Kumar Mishra, Shahab Fatima, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105872-105872
Closed Access | Times Cited: 90
A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine
Wenxin Yang, Hanyuan Zhang, Jit Bing Lim, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109218-109218
Closed Access | Times Cited: 17
Deep neural operators as accurate surrogates for shape optimization
Khemraj Shukla, Vivek Oommen, Ahmad Peyvan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107615-107615
Closed Access | Times Cited: 30
A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107973-107973
Closed Access | Times Cited: 11
Bayesian large-kernel attention network for bearing remaining useful life prediction and uncertainty quantification
Lei Wang, Hongrui Cao, Zhi‐Sheng Ye, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109421-109421
Closed Access | Times Cited: 20
Self-supervised Health Representation Decomposition based on contrast learning
Yilin Wang, Lei Shen, Yuxuan Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109455-109455
Closed Access | Times Cited: 16
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Xuemin Cheng, Shuihai Dou, Yanping Du, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Deep learning-based fault classification of rolling bearings under noisy conditions using CEEMD-VMD-IMF with magnitude scalogram images
Prashant Kumar Sahu, Rajiv Nandan, Neha Patel
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 10, pp. 5281-5295
Closed Access | Times Cited: 4
Fault analysis and fault degree evaluation via an improved ResNet method for aircraft hydraulic system
Kenan Shen, Dongbiao Zhao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Research of turbine rotor fault diagnosis based on improved auxiliary classification generative adversarial network
Qinglei Zhang, Xinwei Lian, Jiyun Qin, et al.
Measurement (2025), pp. 116991-116991
Closed Access
Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks
Guang Lin, Christian Moya, Zecheng Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106689-106689
Open Access | Times Cited: 12
An intelligent diagnosis method for oil-well pump leakage fault in oilfield production Internet of Things system based on convolutional attention residual learning
Zongchao Huang, Kewen Li, Cuihong Ke, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106829-106829
Closed Access | Times Cited: 11
Multi-fault Diagnosis of Rotating Machine Under Uncertain Speed Conditions
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 4637-4654
Closed Access | Times Cited: 11
Advancing bearing fault diagnosis under variable working conditions: a CEEMDAN-SBS approach with vibro-electric signal integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak Benkedjouh
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 5-6, pp. 2753-2772
Open Access | Times Cited: 3
Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning
Xun Zhang, Guanghua Xu, Xiaobi Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076118-076118
Closed Access | Times Cited: 3
AFcIHNet: Attention feature-constrained network for single image information hiding
Xingwang Jia, Huamei Xin, Lingchen Gu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107105-107105
Closed Access | Times Cited: 8
Control and Performance Analysis for Active Islanding Detection Using q-Axis Control in Renewable Energy Sources Based Microgrid: A Review
Avdhesh Kumar
Lecture notes in electrical engineering (2024), pp. 589-599
Closed Access | Times Cited: 1
Role and Significance of Defect Detection Methods for Rotating Machines: An Explicit Literature Review
Ekta Yadav, V.K. Chawla
Journal of The Institution of Engineers (India) Series C (2024) Vol. 105, Iss. 5, pp. 1293-1310
Closed Access | Times Cited: 1
Anomaly detection of industrial motors under few-shot feature conditions based on causality
Yuefeng Cen, Xucheng Li, Gang Cen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125004-125004
Closed Access | Times Cited: 3
Unsupervised dissimilarity-based fault detection method for autonomous mobile robots
Mahmut Kasap, Metin Yılmaz, E. Miné Cinar, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1503-1518
Closed Access | Times Cited: 2
Bearing fault diagnosis method based on multi-domain feature fusion and heterogeneous network under small sample conditions
Xiaoqiang Zhao, Sen Li
Research Square (Research Square) (2024)
Open Access
Fault diagnosis method of rolling bearing based on noise reduction enhanced multi-frequency scale network
Dewen Kong, Hongfei Zhan, Junhe Yu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116014-116014
Closed Access
Bearing fault diagnosis method for unbalance data based on Gramian angular field
Ping Yu, Rongbin Li, Jie Cao, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 47, Iss. 1-2, pp. 45-54
Closed Access
Realistic Condition-Based Anomaly Detection of Multi-Faults in Rotating Machines
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor
Anurag Choudhary, Tauheed Mian, Shahab Fatima, et al.
(2022)
Closed Access | Times Cited: 1
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