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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:

Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types
Katharina Rombach, Gabriel Michau, Olga Fink
Sensors (2021) Vol. 21, Iss. 10, pp. 3550-3550
Open Access | Times Cited: 25

Showing 25 citing articles:

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: 123
Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network
Chunran Huo, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105970-105970
Closed Access | Times Cited: 49
A universal transfer network for machinery fault diagnosis
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, et al.
Computers in Industry (2023) Vol. 151, pp. 103976-103976
Closed Access | Times Cited: 24
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109718-109718
Open Access | Times Cited: 22
Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples
Wenqing Wan, Jinglong Chen, Zitong Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6380-6392
Closed Access | Times Cited: 29
Controlled generation of unseen faults for Partial and Open-Partial domain adaptation
Katharina Rombach, Gabriel Michau, Olga Fink
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108857-108857
Open Access | Times Cited: 29
Multi-Scale Rolling Bearing Fault Diagnosis Method Based on Transfer Learning
Zhenyu Yin, Feiqing Zhang, Guangyuan Xu, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1198-1198
Open Access | Times Cited: 3
Echo State Network Based Soft Sensor for Monitoring and Fault Detection of Industrial Processes
Tiago Lemos, Luiz Felipe de O. Campos, Afrânio Melo, et al.
Computers & Chemical Engineering (2021) Vol. 155, pp. 107512-107512
Closed Access | Times Cited: 22
Unsupervised rail vehicle running instability detection algorithm for passenger trains (iVRIDA)
Rohan Kulkarni, Alireza Qazizadeh, Mats Berg
Measurement (2023) Vol. 216, pp. 112894-112894
Open Access | Times Cited: 8
Condition monitoring of ball screw feed drives using convolutional neural networks
Maximilian Benker, Michael F. Zaeh
CIRP Annals (2022) Vol. 71, Iss. 1, pp. 313-316
Closed Access | Times Cited: 13
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Mengjie Zhao, Olga Fink
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22950-22965
Open Access | Times Cited: 2
Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems
Zejian Zhu, Weiming Wu, Tianrui Chen, et al.
Neurocomputing (2023) Vol. 562, pp. 126847-126847
Closed Access | Times Cited: 4
Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring
Jakub Górski, Mateusz Heesch, Michał Dziendzikowski, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3695-3695
Open Access | Times Cited: 7
Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades
Gregory Duthé, Imad Abdallah, Sarah Barber, et al.
(2021)
Open Access | Times Cited: 8
Power Regulation and Fault Diagnostics of a Three-Pond Run-of-River Hydropower Plant
Ahmad Saeed, Adnan Umar Khan, Muhammad Iqbal, et al.
Processes (2022) Vol. 10, Iss. 2, pp. 392-392
Open Access | Times Cited: 4
Contrastive Sensor Transformer for Predictive Maintenance of Industrial Assets
Zaharah Bukhsh
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 3558-3562
Closed Access | Times Cited: 4
Contrastive learning and dynamics embedding neural network for label-free interpretable machine fault diagnosis
Shilong Sun, Tengyi Peng, Yu Zhou, et al.
ISA Transactions (2023) Vol. 144, pp. 436-451
Closed Access | Times Cited: 2
Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications
Katharina Rombach, Gabriel Michau, Kajan Ratnasabapathy, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 3
iVRIDA-fleet : unsupervised rail vehicle running instability detection algorithm for passenger vehicle fleet
Rohan Kulkarni, Mats Berg, Alireza Qazizadeh, et al.
Vehicle System Dynamics (2024), pp. 1-31
Open Access
A few-shot based phase-batch multi-layer domain adaptation pattern recognition method
Yiming Li, Jiankang Wang, Guangxu Luo, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076105-076105
Closed Access
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Mengjie Zhao, Olga Fink
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Metric Learning-Guided Semi-Supervised Path-Interaction Fault Diagnosis Method for Extremely Limited Labeled Samples under Variable Working Conditions
Zheng Rong Yang, Fei Chen, Binbin Xu, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6951-6951
Open Access | Times Cited: 1
Increasing Robustness of Data-Driven Fault Diagnostics with Knowledge Graphs
Maximilian-Peter Radtke, Marco F. Huber, Jürgen Bock
Annual Conference of the PHM Society (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 1
NeuTR: A Learnable Neural Data Augmentation Strategy for Supervised Contrastive Representation Learning in Fault Diagnosis with Limited Fault Data
Luyao Zhang, Peng Peng, Heming Zhang
2021 China Automation Congress (CAC) (2023), pp. 1483-1489
Closed Access
Fault Diagnosis for A Class of Nonlinear Systems Based on Reinforcement Learning and Deterministic Learning
Zejian Zhu, Weiming Wu, Tianrui Chen, et al.
Research Square (Research Square) (2022)
Open Access
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