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:

Diffuse ultrasonic wave-based structural health monitoring for railway turnouts
Kai Wang, Wuxiong Cao, Lei Xu, et al.
Ultrasonics (2019) Vol. 101, pp. 106031-106031
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Hybrid deep learning architecture for rail surface segmentation and surface defect detection
Yunpeng Wu, Yong Qin, Yu Qian, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 2, pp. 227-244
Closed Access | Times Cited: 106

A systematic review of ultrasonic techniques for defects detection in construction and building materials
Xiangbo Xu, Bo Ran, Nan Jiang, et al.
Measurement (2024) Vol. 226, pp. 114181-114181
Closed Access | Times Cited: 31

Guided wave–based rail flaw detection technologies: state-of-the-art review
Hao Ge, David Chua Kim Huat, C. G. Koh, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 1287-1308
Closed Access | Times Cited: 54

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review
Camilo Laiton-Bonadiez, John W. Branch, Julián Andrés Zapata-Cortés, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2491-2491
Open Access | Times Cited: 28

A Capsule-Shaped Triboelectric Nanogenerator for Self-Powered Health Monitoring of Traffic Facilities
Jiahui Xu, Xuelian Wei, Ruonan Li, et al.
ACS Materials Letters (2022) Vol. 4, Iss. 9, pp. 1630-1637
Closed Access | Times Cited: 27

Diffuse Ultrasonic Wave-Based Damage Detection of Railway Tracks Using PZT/FBG Hybrid Sensing System
Xiangtao Sun, Chuanrui Guo, Lei Yuan, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2504-2504
Open Access | Times Cited: 24

A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves
Xiangtao Sun, Minghui Zhang, Weihang Gao, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 1, pp. 714-729
Closed Access | Times Cited: 23

Damage identification for railway tracks using ultrasound guided wave and hybrid probabilistic deep learning
Yang Zhang, Da-Zhi Dang, You‐Wu Wang, et al.
Construction and Building Materials (2024) Vol. 418, pp. 135466-135466
Closed Access | Times Cited: 4

A direction-tunable Rayleigh wave transducer for inspection of rail web
Qingfeng Zhu, Hongchen Miao, Qianhua Kan, et al.
International Journal of Mechanical Sciences (2025) Vol. 287, pp. 109952-109952
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

Surface/sub-surface crack-scattered nonlinear rayleigh waves: A full analytical solution based on elastodynamic reciprocity theorem
Lei Xu, Kai Wang, Yiyin Su, et al.
Ultrasonics (2021) Vol. 118, pp. 106578-106578
Open Access | Times Cited: 29

A hybrid, self-adapting drag-lift conversion wind energy harvesting system for railway turnout monitoring on the Tibetan Plateau
Hao Wang, Minyi Yi, Xiaohui Zeng, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 46, pp. 101262-101262
Closed Access | Times Cited: 28

Air-coupled ultrasonic diffuse-wave techniques to evaluate distributed cracking damage in concrete
Eunjong Ahn, Myoungsu Shin, John S. Popovics
Ultrasonics (2022) Vol. 125, pp. 106800-106800
Closed Access | Times Cited: 19

Laser ultrasonics for defect evaluation on coated railway axles
Nicola Montinaro, Gabriella Epasto, Donatella Cerniglia, et al.
NDT & E International (2020) Vol. 116, pp. 102321-102321
Open Access | Times Cited: 31

Quantitative defect inspection in the curved composite structure using the modified probabilistic tomography algorithm and fusion of damage index
Hashen Jin, Jiajia Yan, Xiao Liu, et al.
Ultrasonics (2021) Vol. 113, pp. 106358-106358
Closed Access | Times Cited: 23

Study on the method of establishing the probability of detection curve for ultrasonic detection on railway hollow axle cracks
Rui‐Guo Yan, Wenjing Wang, Ran Ding, et al.
Measurement (2023) Vol. 224, pp. 113866-113866
Closed Access | Times Cited: 8

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

SH guided wave excitation in rails for defect and stress monitoring
Hongchen Miao, Qingfeng Zhu, Yao Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112064-112064
Closed Access | Times Cited: 2

A novel guided wave testing method for identifying rail web cracks using optical fiber Bragg grating sensing and orthogonal matching pursuit
Da-Zhi Dang, You‐Wu Wang, Yi‐Qing Ni
Measurement (2024), pp. 116317-116317
Closed Access | Times Cited: 2

Wireless sensing in high-speed railway turnouts with battery-free materials and devices
Yuhua Sun, Yan Yan, Tian Song, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108663-108663
Open Access | Times Cited: 6

Image Classification-Based Defect Detection of Railway Tracks Using Fiber Bragg Grating Ultrasonic Sensors
Da-Zhi Dang, Chun-Cheung Lai, Yi‐Qing Ni, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 384-384
Open Access | Times Cited: 10

Identification of track irregularities with the multi-sensor acceleration measurements of vehicle dynamic responses
Xiangying Guo, Changkun Li, Zhong Luo, et al.
Vehicle System Dynamics (2023) Vol. 62, Iss. 4, pp. 906-931
Closed Access | Times Cited: 5

Identification of high-speed railway turnout generated vibrations based on time–frequency slice and mutual correlation of vibration responses from axle box
Hao Hu, Hangyuan Qin, Juanjuan Shi, et al.
Measurement (2023) Vol. 221, pp. 113458-113458
Closed Access | Times Cited: 5

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