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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:

Detection of Rail Defects Using NDT Methods
Longhui Xiong, Guoqing Jing, Jingru Wang, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4627-4627
Open Access | Times Cited: 24

Showing 24 citing articles:

Comparison and optimization of rail defect detection methods based on object detection model
Hongwei Zhang, Xiaolu Cui, Yue Yin, et al.
Tribology Transactions (2025), pp. 1-12
Closed Access | Times Cited: 3
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
Nondestructive Testing Methods for Rail Defects Detection
Ravikant Mordia, Arvind Verma
High-speed Railway (2025)
Open Access
Key technologies of China high-speed comprehensive inspection train: CIT450
Peng Dai, Yunlong Guo, FengRui Wang, et al.
Railway Engineering Science (2025)
Open Access
A direct crack sizing approach from DIC strain analyses under elasto-plastic and dynamic conditions
Cheng Chen, Xudong Qian
Theoretical and Applied Fracture Mechanics (2025), pp. 104861-104861
Open Access
Non-destructive methodology for crack detection using machine learning-assisted resonant sensor
Rajat Srivastava, Ajay Vaishnav, S. N. Kale
Measurement (2024) Vol. 229, pp. 114429-114429
Closed Access | Times Cited: 2
Detecting Internal Defects in FRP-Reinforced Concrete Structures through the Integration of Infrared Thermography and Deep Learning
Pengfei Pan, Rongpeng Zhang, Yi Zhang, et al.
Materials (2024) Vol. 17, Iss. 13, pp. 3350-3350
Open Access | Times Cited: 2
Artificial intelligence-aided detection of rail defects based on ultrasonic imaging data
Weitian Li, Jingru Wang, Xuanyang Qin, et al.
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit (2023) Vol. 238, Iss. 1, pp. 118-127
Open Access | Times Cited: 4
Surface Crack Size Estimation based on Quantification and Decoupling of Magnetic Flux Leakage (MFL) Signals of Circular Array Sensors
Wendong Gong, Muhammad Firdaus Akbar, Ghassan Nihad Jawad, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16752-16762
Closed Access | Times Cited: 1
Detailed Study on Various Techniques for Detecting Railway Track Anomaly
Dinesh Komarasamy, M. Iyapparaja, Mohana Saranya S, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
Wear diagnosis for rail profile data using a novel multidimensional scaling clustering method
Dequan Shang, Shuai Su, Yizhe Sun, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 19, pp. 2971-2989
Closed Access | Times Cited: 1
Harnessing guided waves for long-range monitoring of damaged rails
Emanuele Riva, Gabriele Cazzulani, Marcella Di Mario, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111655-111655
Open Access | Times Cited: 1
Research on Rail Surface Defect Detection Based on Improved CenterNet
Yizhou Mao, Shubin Zheng, Liming Li, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3580-3580
Open Access | Times Cited: 1
Towards Advancing Real-Time Railroad Inspection Using a Directional Eddy Current Probe
Meirbek Mussatayev, Ruby Kempka, Mohammed Alanesi
Sensors (2024) Vol. 24, Iss. 20, pp. 6702-6702
Open Access | Times Cited: 1
Ultrasonic flexible array for non-destructive testing of complex curved surfaces
Yajun Sun, Yi Quan, Chunlong Fei, et al.
Ceramics International (2024) Vol. 50, Iss. 23, pp. 51979-51986
Closed Access
Harnessing Guided Waves for Long-Range Monitoring of Damaged Rails
Emanuele Riva, Gabriele Cazzulani, Marcella Di Mario, et al.
(2024)
Closed Access
A Lightweight Camera and Lidar Fusion Framework for Railway Transit Obstacle Detection
Ri Bai, Z. Wu, Tao Xu
(2024), pp. 303-308
Closed Access
The Detection of Railheads: An Innovative Direct Image Processing Method
Volodymyr Tverdomed, Dmytro Zhuk, Natalia Kokriatska, et al.
Sustainability (2024) Vol. 16, Iss. 12, pp. 5109-5109
Open Access
An online metro train bottom monitoring system based on multi-camera fusion
Zhenyu Zhang, Jiabing Zhang, Yuejian Chen
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 27687-27698
Closed Access
A Performance Evaluation Method for Long and Steep Uphill Sections of Heavy-Haul Railway Lines
Jing He, Ao Di, Changfan Zhang, et al.
Safety (2024) Vol. 10, Iss. 3, pp. 72-72
Open Access
NDE 4.0 in Railway Industry
Xiaorong Gao, Yu Zhang, Jianping Peng
(2024), pp. 1-36
Closed Access
Towards Real-Time Railroad Inspection Using Directional Eddy Current Probe
Meirbek Mussatayev, Mohammed Alanesi
(2024)
Open Access
A Multi-Modal Approach to Rail Surface Condition Analysis: The MFDF-Net
Yifei Shen, Qianwen Zhong, Shubin Zheng, et al.
IEEE Access (2024) Vol. 12, pp. 132480-132494
Open Access
Rail Flaw B-Scan Image Analysis Using a Hierarchical Classification Model
Guoxi Hu, Jie Li, Guoqing Jing, et al.
International Journal of Steel Structures (2024)
Open Access
CHALLENGES FACED BY SMEs : A COMPREHENSIVE REVIEW OF NON-DESTRUCTIVE TESTING METHODS AND SOLUT
Pulak Adhikary, Vijay Banerjee, Uddipan Pahari
International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access
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