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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 parameter optimized variational mode decomposition method for rail crack detection based on acoustic emission technique
Xin Zhang, Tiantian Sun, Yan Wang, et al.
Nondestructive Testing And Evaluation (2020), pp. 1-29
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Acoustic emission source localisation for structural health monitoring of rail sections based on a deep learning approach
Harsh Mahajan, Sauvik Banerjee
Measurement Science and Technology (2023) Vol. 34, Iss. 4, pp. 044010-044010
Open Access | Times Cited: 31
Damage Localization in Rail Section Using Single AE Sensor Data: An Experimental Investigation with Deep Learning Approach
Apurba Pal, Tamal Kundu, Aloke Kumar Datta
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 5, pp. 1088-1106
Closed Access | Times Cited: 22
The parameter identification of metro rail corrugation based on effective signal extraction and inertial reference method
Haimeng Sun, Deqiang He, Hailong Ma, et al.
Engineering Failure Analysis (2024) Vol. 158, pp. 108043-108043
Closed Access | Times Cited: 8
A novel crude oil prices forecasting model based on secondary decomposition
Guohui Li, Shibo Yin, Hong Yang
Energy (2022) Vol. 257, pp. 124684-124684
Closed Access | Times Cited: 34
Quantitative detection of rail head internal hole defects based on laser ultrasonic bulk wave and optimized variational mode decomposition algorithm
Yi Jiang, Shuai Chen, Kaizheng Wang, et al.
Measurement (2023) Vol. 218, pp. 113185-113185
Closed Access | Times Cited: 17
An adaptive, artificial intelligence-based chatter detection method for milling operations
Panagiotis Stavropoulos, Thanassis Souflas, Christos Papaioannou, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 7-8, pp. 2037-2058
Closed Access | Times Cited: 27
Development of Smart Real-time Fault Detection Approach in Railway Track Deploying a Single Acoustic Emission Sensor Data
Apurba Pal, Aloke Kumar Datta
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 5
TFC-TFECR feature extraction and state recognition of acoustic emission signal of cylindrical roller bearing
Yang Yu, Yun Li, Ping Yang, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-19
Closed Access | Times Cited: 4
Temperature-adaptive artificial neural network model for enhanced fault detection in railway tracks using acoustic emission sensor data
Apurba Pal, Aloke Kumar Datta
Nondestructive Testing And Evaluation (2025), pp. 1-30
Closed Access
Study and development of a novel IoT-based ANN model for real-time damage detection in rail section
Tamal Kundu, Apurba Pal, Aloke Kumar Datta, et al.
International Journal of Structural Integrity (2025)
Closed Access
Combining POA-VMD for multi-machine learning methods to predict ammonia nitrogen in the largest freshwater lake in China (Poyang Lake)
Chengming Luo, Xihua Wang, Y. Jun Xu, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107511-107511
Closed Access
A pencil lead break-triggered, adversarial autoencoder-based approach for rapid and robust rail damage detection
Da-Zhi Dang, Boyang Su, You‐Wu Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110637-110637
Closed Access
A new hybrid prediction model of PM2.5 concentration based on secondary decomposition and optimized extreme learning machine
Hong Yang, Junlin Zhao, Guohui Li
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 67214-67241
Closed Access | Times Cited: 19
A study on the efficacy of modal acoustic emission technique for health monitoring of structures with different geometries
Parikshit Roy, Aloke Kumar Datta, Pijush Topdar
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 4, pp. 846-885
Closed Access | Times Cited: 11
Acoustic emission-based assessment of weld effects on the health monitoring of the rail section: an experimental study
Apurba Pal, Tamal Kundu, Aloke Kumar Datta
Engineering Research Express (2024) Vol. 6, Iss. 1, pp. 015102-015102
Open Access | Times Cited: 3
Research on features and localization of AE signals from the mechanical body of industrial robots based on WD-EMD
Shishang Dong, Jun You, Ming Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096117-096117
Closed Access | Times Cited: 3
Adaptive signal extraction based on RLMD-SVD for water pipeline leakage localization
Hongjin Liu, Hongyuan Fang, Xiang Yu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26522-26533
Closed Access | Times Cited: 3
Rail crack defect recognition based on a multi-feature fusion algorithm using electromagnetic acoustic emission technique
Yongqi Chang, Xin Zhang, Shuzhi Song, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115002-115002
Closed Access | Times Cited: 8
Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology
Yongqi Chang, Xin Zhang, Yi Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Advancement of data-driven SHM: A research paradigm on AE-based switch rail condition monitoring
Lu Zhou, Si‐Xin Chen, Yi‐Qing Ni, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 3, pp. 100107-100107
Open Access | Times Cited: 2
Wall thickness measurement and defect detection in ductile iron pipe structures using laser ultrasonic and improved variational mode decomposition
Shuai Chen, Haitao Wang, Yi Jiang, et al.
NDT & E International (2022) Vol. 134, pp. 102767-102767
Closed Access | Times Cited: 12
Optimization of the Quality of the Automatic Transmission Shift and the Power Transmission Characteristics
Qinguo Zhang, Xiaojian Liu
Energies (2022) Vol. 15, Iss. 13, pp. 4672-4672
Open Access | Times Cited: 11
Multiple Event Recognition Scheme Using Variational Mode Decomposition-Based Hybrid Feature Extraction in Fiber Optic DAS System
Wenqiang Fu, Duo Yi, Zhewen Huang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27316-27323
Closed Access | Times Cited: 6
A Novel Hybrid Model for the Prediction and Classification of Rolling Bearing Condition
Aina Wang, Yingshun Li, Yao Zhao, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3854-3854
Open Access | Times Cited: 8
Imaging localisation of damages on switch rail foot based on laser ultrasonic testing
Yi Jiang, Pan Hu, Shuai Chen, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 1
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