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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:

Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection
Di Song, Feiyun Xu, Tianchi Ma
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 2641-2656
Closed Access | Times Cited: 17

Showing 17 citing articles:

Rigorous acoustic emission monitoring study for Discriminating laser cutting in various conditions
Long Chen, Jiangang Wang, Ning Liu, et al.
Applied Acoustics (2025) Vol. 231, pp. 110523-110523
Closed Access | Times Cited: 1
A centrifugal fan blade damage identification method based on the multi-level fusion of vibro-acoustic signals and CNN
Tao Zhang, Feiyun Xu, Minping Jia
Measurement (2022) Vol. 199, pp. 111475-111475
Closed Access | Times Cited: 29
A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder
Xiaoli Zhao, Yuanhao Hu, Jiahui Liu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 7
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: 15
Research overview and prospect in condition monitoring of compressors
Anil Kumar
Expert Systems with Applications (2025), pp. 127284-127284
Closed Access
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
A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal
Peng Ding, Di Song, Junxian Shen, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
Particle filter-based damage prognosis using online feature fusion and selection
Tianzhi Li, Jian Chen, Shenfang Yuan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 203, pp. 110713-110713
Open Access | Times Cited: 5
The influence mechanism of blade crack on the acoustic characteristics of compressor
Wu Gao, Ping Ren, Yigang Luan, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access | Times Cited: 1
A novel wavelet energy feature for damage identification with a digital twin considering measurement uncertainties
Xiaobang Zhang, Yong Lu
Journal of Structural Integrity and Maintenance (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Incremental learning BiLSTM based on dynamic proportional adjustment mechanism and experience replay for quantitative detection of blade crack propagation
Junxian Shen, Tianchi Ma, Di Song, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 733-749
Closed Access | Times Cited: 3
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
SSAE-AM: A Prediction Model for Fatigue Crack Growth
Boyang Zhao, Wei Dai, Yun Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23032-23044
Closed Access
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
Development of compact smart bearing and novel hybrid feature assessment for weak defect identification
Yu Xiao, Di Song, Nan Wu
Nondestructive Testing And Evaluation (2024), pp. 1-27
Closed Access
Acoustic Sensor Placement Optimization for Compressor Based on Adversarial Transfer Learning and Vibro-Acoustic Simulation
Di Song, Junxian Shen, Tianchi Ma, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13539-13547
Closed Access | Times Cited: 1
Intelligent Crack Damage Identification for Compressor Blade Based on Transfer Graph Neural Network
Peng Ding, Junxian Shen, Di Song
(2023), pp. 1-6
Closed Access | Times Cited: 1
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