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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:

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

A light deep adaptive framework toward fault diagnosis of a hydraulic piston pump
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 26
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
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6356-6368
Closed Access | Times Cited: 15
Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the HVAC chiller
Cunxiao Shen, Hanyuan Zhang, Songping Meng, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105540-105540
Closed Access | Times Cited: 50
Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends
Shen Zhang, Oliver Wallscheid, Mario Porrmann
IEEE Open Journal of Industry Applications (2023) Vol. 4, pp. 188-214
Open Access | Times Cited: 31
Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis
Zhiqiang Zhang, Funa Zhou, Hamid Reza Karimi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107052-107052
Closed Access | Times Cited: 27
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
IEEE Access (2024) Vol. 12, pp. 29345-29361
Open Access | Times Cited: 13
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Jingyan Xia, Zhuyun Chen, Jiaxian Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107848-107848
Closed Access | Times Cited: 11
An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100425-100425
Open Access | Times Cited: 9
Fault detection in the gas turbine of the Kirkuk power plant: An anomaly detection approach using DLSTM-Autoencoder
Al-Tekreeti Watban Khalid Fahmi, Kazem Reza Kashyzadeh, Siamak Ghorbani
Engineering Failure Analysis (2024) Vol. 160, pp. 108213-108213
Closed Access | Times Cited: 8
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 19
Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions
Jiaqi Liang, Zhiwei Mao, Fengchun Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106912-106912
Closed Access | Times Cited: 18
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis
He Ren, Jun Wang, Weiguo Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107117-107117
Closed Access | Times Cited: 18
An efficient diagnostic strategy for intermittent faults in electronic circuit systems by enhancing and locating local features of faults
Zhen Jia, Shengdong Wang, Ke Zhao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036107-036107
Closed Access | Times Cited: 18
Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis
He Li, Jinjie Zhang, Zhenjing Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107975-107975
Closed Access | Times Cited: 6
Vibration-based anomaly pattern mining for remaining useful life (RUL) prediction in bearings
Pooja Kamat, Satish Kumar, Rekha Sugandhi
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 5
Closed Access | Times Cited: 5
Abnormal Detection and Fault Diagnosis of Adjustment Hydraulic Servomotor Based on Genetic Algorithm to Optimize Support Vector Data Description with Negative Samples and One-Dimensional Convolutional Neural Network
Xukang Yang, Anqi Jiang, Wanlu Jiang, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 368-368
Open Access | Times Cited: 5
MGTN-DSI: A multi-sensor graph transfer network considering dual structural information for fault diagnosis under varying working conditions
Jianjie Liu, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103119-103119
Closed Access
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
Hao Hu, Yue Ma, Ruoxue Li, et al.
Knowledge-Based Systems (2025), pp. 113075-113075
Closed Access
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
Shuyang Luo, Jiachang Qian, Xufeng Huang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110155-110155
Closed Access
Multi-Harmonic Nonlinear Ultrasonic Fusion with Deep Learning for Subtle Parameter Identification of Micro-Crack Groups
Lin Qi, Xiaoyang Bi, Xiangyan Ding, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1152-1152
Open Access
Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies
Wesley Doorsamy
Machines (2025) Vol. 13, Iss. 2, pp. 144-144
Open Access
Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Hongbo Ma, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112460-112460
Closed Access
Adaptive fault diagnosis of machining processes enabled by hybrid deep learning and incremental transfer learning
Yuchen Liang, Yuqi Wang, Weidong Li, et al.
Computers in Industry (2025) Vol. 167, pp. 104262-104262
Closed Access
A nonlinear dynamics method using multi-sensor signal fusion for fault diagnosis of rotating machinery
Fei Chen, Jie Liu, Xiaoxi Hu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103190-103190
Closed Access
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