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-objective acoustic sensor placement optimization for crack detection of compressor blade based on reinforcement learning
Di Song, Junxian Shen, Tianchi Ma, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110350-110350
Closed Access | Times Cited: 13
Di Song, Junxian Shen, Tianchi Ma, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110350-110350
Closed Access | Times Cited: 13
Showing 13 citing articles:
A novel enhanced sensitive sensor for small-diameter pipe based on the PECT-EMAT hybrid testing method
Shuyan Yang, Ruixiang Zhao, Zhirong Duan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112350-112350
Closed Access | Times Cited: 1
Shuyan Yang, Ruixiang Zhao, Zhirong Duan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112350-112350
Closed Access | Times Cited: 1
A comparative study on deep learning models for condition monitoring of advanced reactor piping systems
Harleen Kaur Sandhu, Saran Srikanth Bodda, Erin Yan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111091-111091
Closed Access | Times Cited: 5
Harleen Kaur Sandhu, Saran Srikanth Bodda, Erin Yan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111091-111091
Closed Access | Times Cited: 5
Multi-objective optimization of tribological properties of diesel engine camshaft bearings
Jingjing Zhao, Yuan Li, Yan Li, et al.
Structural and Multidisciplinary Optimization (2025) Vol. 68, Iss. 1
Closed Access
Jingjing Zhao, Yuan Li, Yan Li, et al.
Structural and Multidisciplinary Optimization (2025) Vol. 68, Iss. 1
Closed Access
Dual-Parameter Diagnosis of Gas Turbine Blade Fatigue Cracks Based on Blade Tip Timing Data
Shuming Wu, Haoqi Li, Liqin Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access
Shuming Wu, Haoqi Li, Liqin Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access
Prediction of Aerodynamic Forces at the Tip of the Compressor Blades Based on Multi-scale 1DCNN Combined with CBAM
Minghui Yao, Shaohua Wu, Yan Niu, et al.
Thin-Walled Structures (2024) Vol. 203, pp. 112190-112190
Closed Access | Times Cited: 4
Minghui Yao, Shaohua Wu, Yan Niu, et al.
Thin-Walled Structures (2024) Vol. 203, pp. 112190-112190
Closed Access | Times Cited: 4
A vibro-acoustic signals hybrid fusion model for blade crack detection
Tianchi Ma, Junxian Shen, Di Song, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110815-110815
Closed Access | Times Cited: 9
Tianchi Ma, Junxian Shen, Di Song, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110815-110815
Closed Access | Times Cited: 9
Multi-objective optimization of tribological properties of camshaft bearing pairs using DNN coupled with NSGA-II algorithm and TOPSIS
Jingjing Zhao, Yuan Li, Liang Xi Xie, et al.
Industrial Lubrication and Tribology (2024) Vol. 76, Iss. 5, pp. 703-715
Closed Access | Times Cited: 1
Jingjing Zhao, Yuan Li, Liang Xi Xie, et al.
Industrial Lubrication and Tribology (2024) Vol. 76, Iss. 5, pp. 703-715
Closed Access | Times Cited: 1
An embedded physical information network for blade crack detection considering dynamic multi-level credibility
Junxian Shen, Tianchi Ma, Di Song, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111948-111948
Closed Access | Times Cited: 1
Junxian Shen, Tianchi Ma, Di Song, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111948-111948
Closed Access | Times Cited: 1
Use of digital image correlation and machine learning for the optimal strain placement in a full-scale composite tidal turbine blade
Jude McLoughlin, Marek J Munko, Miguel A Valdivia Camacho, et al.
Deleted Journal (2023) Vol. 2023, Iss. 1, pp. 1-12
Open Access | Times Cited: 2
Jude McLoughlin, Marek J Munko, Miguel A Valdivia Camacho, et al.
Deleted Journal (2023) Vol. 2023, Iss. 1, pp. 1-12
Open Access | Times Cited: 2
A compressor blade crack detection method based on the multilevel information fusion of acoustic and vibration signals
Jia-Hong Wen, Tianchi Ma, Tao Zhang, et al.
Structural Health Monitoring (2024)
Closed Access
Jia-Hong Wen, Tianchi Ma, Tao Zhang, et al.
Structural Health Monitoring (2024)
Closed Access
A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection
Tianchi Ma, Junxian Shen, Di Song, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3800-3813
Closed Access
Tianchi Ma, Junxian Shen, Di Song, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3800-3813
Closed Access
An innovative deep reinforcement learning-driven cutting parameters adaptive optimization method taking tool wear into account
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Measurement (2024), pp. 116075-116075
Closed Access
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Measurement (2024), pp. 116075-116075
Closed Access
Machine Learning Based Mechanical Fault Diagnosis and Detection Methods: A Systematic Review
Yuechuan Xin, Jianuo Zhu, Mingyang Cai, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012004-012004
Closed Access
Yuechuan Xin, Jianuo Zhu, Mingyang Cai, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012004-012004
Closed Access
Optimization of the Spatial Location of Sound Sensors for Urban Noise Monitoring
Jin Cheng, Yanjie Zhao, Shaohua Wang, et al.
(2023)
Closed Access
Jin Cheng, Yanjie Zhao, Shaohua Wang, et al.
(2023)
Closed Access
