Zujun Yu

903 total citations · 1 hit paper
60 papers, 594 citations indexed

About

Zujun Yu is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Zujun Yu has authored 60 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 19 papers in Computer Vision and Pattern Recognition and 16 papers in Civil and Structural Engineering. Recurrent topics in Zujun Yu's work include Railway Engineering and Dynamics (14 papers), Ultrasonics and Acoustic Wave Propagation (13 papers) and Non-Destructive Testing Techniques (12 papers). Zujun Yu is often cited by papers focused on Railway Engineering and Dynamics (14 papers), Ultrasonics and Acoustic Wave Propagation (13 papers) and Non-Destructive Testing Techniques (12 papers). Zujun Yu collaborates with scholars based in China, United States and Japan. Zujun Yu's co-authors include Liqiang Zhu, Hongmei Shi, Baoqing Guo, Yao Wang, Yaodong Wang, Jianbo Li, Ruixin Li, Chao He, Zhengyu Xie and Yong Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Zujun Yu

51 papers receiving 571 citations

Hit Papers

Interpretable modulated differentiable STFT and physics-i... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zujun Yu China 16 204 198 157 126 77 60 594
Shuanfeng Zhao China 13 226 1.1× 75 0.4× 92 0.6× 96 0.8× 228 3.0× 53 617
Peng Dai China 10 171 0.8× 141 0.7× 77 0.5× 31 0.2× 104 1.4× 22 528
Harutoshi Ogai Japan 13 128 0.6× 76 0.4× 159 1.0× 41 0.3× 165 2.1× 148 699
Jian Miao China 12 203 1.0× 110 0.6× 89 0.6× 64 0.5× 234 3.0× 32 614
Arman Malekloo Türkiye 6 90 0.4× 262 1.3× 54 0.3× 77 0.6× 59 0.8× 6 665
Jacek Wodecki Poland 18 463 2.3× 184 0.9× 73 0.5× 127 1.0× 397 5.2× 68 845
Jie Guo China 12 208 1.0× 217 1.1× 192 1.2× 64 0.5× 42 0.5× 44 643
Tangbo Bai China 10 173 0.8× 93 0.5× 57 0.4× 96 0.8× 218 2.8× 22 437
Senxiang Lu China 16 578 2.8× 136 0.7× 70 0.4× 274 2.2× 134 1.7× 42 883

Countries citing papers authored by Zujun Yu

Since Specialization
Citations

This map shows the geographic impact of Zujun Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zujun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zujun Yu more than expected).

Fields of papers citing papers by Zujun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zujun Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zujun Yu. The network helps show where Zujun Yu may publish in the future.

Co-authorship network of co-authors of Zujun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zujun Yu. A scholar is included among the top collaborators of Zujun Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zujun Yu. Zujun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Hongmei, et al.. (2025). EdgeAD: Unsupervised Learning Model Based on Prior Knowledge Enhanced Image Anomaly Detection of Heavy Railway Freight Cars. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.
3.
Shi, Hongmei, et al.. (2024). EF-Yolo: An Efficient and Lightweight Network for Real-Time Components Detection of Freight Trains. IEEE Sensors Journal. 24(21). 35872–35888. 1 indexed citations
4.
Qin, Yong, Limin Jia, Zhengyu Xie, et al.. (2024). Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives. IEEE Transactions on Intelligent Transportation Systems. 25(7). 6427–6448. 24 indexed citations
5.
He, Chao, Hongmei Shi, Ruixin Li, Jianbo Li, & Zujun Yu. (2024). Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations. Advanced Engineering Informatics. 62. 102568–102568. 64 indexed citations breakdown →
6.
Wang, Yaodong, et al.. (2023). Image-based intelligent detection of typical defects of complex subway tunnel surface. Tunnelling and Underground Space Technology. 140. 105266–105266. 21 indexed citations
7.
Yu, Zujun, et al.. (2023). Robust IR–VIS image registration with different FOVs in railway intrusion detection. Measurement. 225. 113928–113928. 5 indexed citations
8.
Wang, Yaodong, et al.. (2023). High-speed acquisition and intelligent tunnel surface defects recognition. Tunnelling and Underground Space Technology. 144. 105572–105572. 17 indexed citations
9.
Shi, Hongmei, et al.. (2023). Spatial Activation Suppression for Unsupervised Anomaly Detectors in Freight Train Fault Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 2 indexed citations
10.
Zhu, Liqiang, et al.. (2023). Detection method of the neutral temperature in continuous welded rails based on nonlinear ultrasonic guided waves. Nondestructive Testing And Evaluation. 38(5). 798–826. 9 indexed citations
11.
Shi, Hongmei, et al.. (2023). Enhancing Anomaly Detection Models for Industrial Applications through SVM-Based False Positive Classification. Applied Sciences. 13(23). 12655–12655. 5 indexed citations
12.
Shi, Hongmei, et al.. (2023). Unraveling False Positives in Unsupervised Defect Detection Models: A Study on Anomaly-Free Training Datasets. Sensors. 23(23). 9360–9360. 2 indexed citations
13.
Yu, Zujun, et al.. (2023). A Guided Wave Approach to Defect Detection in Switch Rail. Advanced Engineering Materials. 25(20). 3 indexed citations
14.
Zhu, Liqiang, et al.. (2020). On the Identification of Elastic Moduli of In-Service Rail by Ultrasonic Guided Waves. Sensors. 20(6). 1769–1769. 10 indexed citations
15.
Yu, Zujun, et al.. (2019). Estimating the Axial Load of In-Service Continuously Welded Rail Under the Influences of Rail Wear and Temperature. IEEE Access. 7. 143524–143538. 10 indexed citations
16.
Guo, Baoqing, et al.. (2018). Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views. Journal of Advanced Transportation. 2018. 1–16. 7 indexed citations
17.
Wang, Yaodong, et al.. (2018). A Tunnel Crack Identification Algorithm with Convolutional Neural Networks. 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC). 175–180. 2 indexed citations
18.
Yu, Zujun, et al.. (2018). Recognition algorithm for the disengagement of cement asphalt mortar based on dynamic responses of vehicles. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 233(3). 270–282. 15 indexed citations
19.
Yu, Zujun, et al.. (2014). The estimation approach of rail thermal stress based on vehicle-track dynamic responses. 27. 840–846. 1 indexed citations
20.
Yu, Zujun. (2011). Research on Track Inspection Car Position Correction Method by Use of Single Image. Journal of the China Railway Society. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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