Yuda Chen
Impact in
- Mechanics of Materials top 10%
- Rock Mechanics and Modeling
- Mechanical stress and fatigue analysis
Papers in
-
- Mechanical stress and fatigue analysis 4
- Rock Mechanics and Modeling 3
-
- Railway Engineering and Dynamics 4
- Microstructure and Mechanical Properties of Steels 3
- Co-authors
- Ruiming Ren (7 shared papers)Xiujuan Zhao (3 shared papers)Ramanpreet Singh Pahwa (1 shared paper)Vijay Chandrasekhar (1 shared paper)Quang-Hieu Pham (1 shared paper)Jie Lin (1 shared paper)Armin Mustafa (1 shared paper)Diyuan Li (3 shared papers)
In The Last Decade
Yuda Chen
20 papers receiving 320 citations
Peers
Comparison fields: 5 of 57
- Mechanics of Materials 130
- General Engineering 5
- Automotive Engineering 48
- Computer Vision and Pattern Recognition 76
- Mechanical Engineering 124
Countries citing papers authored by Yuda Chen
This map shows the geographic impact of Yuda Chen'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 Yuda Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuda Chen more than expected).
Fields of papers citing papers by Yuda Chen
This network shows the impact of papers produced by Yuda Chen. 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 Yuda Chen. The network helps show where Yuda Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuda Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2022 | 43 | |
| 3 | 2020 | 35 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 19 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2020 | 1 |
About Yuda Chen
Yuda Chen is a scholar working on Mechanics of Materials, Mechanical Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (7 papers), Mechanical stress and fatigue analysis (4 papers), Railway Engineering and Dynamics (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (3 papers), Rock Mechanics and Modeling (3 papers), Microstructure and Mechanical Properties of Steels (3 papers) and Seismic Waves and Analysis (2 papers). The work is most often cited by research in Mechanics of Materials (130 citations), General Engineering (5 citations), Automotive Engineering (48 citations), Computer Vision and Pattern Recognition (76 citations) and Mechanical Engineering (124 citations). Yuda Chen has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Ruiming Ren, Xiujuan Zhao, Ramanpreet Singh Pahwa, Vijay Chandrasekhar, Quang-Hieu Pham, Jie Lin, Armin Mustafa, Diyuan Li, Pingkuang Luo and Quanqi Zhu. Their work appears in journals such as Wear, Applied Sciences, Journal of Alloys and Compounds, Rock Mechanics and Rock Engineering and Engineering Fracture Mechanics.
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.