Yuda Chen
Impact in
- Mechanics of Materials top 10%
- Rock Mechanics and Modeling
- Mechanical stress and fatigue analysis
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- Autonomous Vehicle Technology and Safety
Papers in
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- Mechanical stress and fatigue analysis 4
- Rock Mechanics and Modeling 3
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- 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)Jie Lin (1 shared paper)Armin Mustafa (1 shared paper)Quang-Hieu Pham (1 shared paper)李地元 (2 shared papers)
In The Last Decade
Yuda Chen
20 papers receiving 367 citations
Peers
Comparison fields: 5 of 60
- Mechanics of Materials 141
- Automotive Engineering 55
- General Engineering 5
- Computer Vision and Pattern Recognition 87
- Mechanical Engineering 134
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2022 | 47 | |
| 3 | 2020 | 35 | |
| 4 | 2018 | 31 | |
| 5 | 2019 | 22 | |
| 6 | 2024 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 6 | |
| 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, Ocean Engineering, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 23 papers that have together received 381 indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (7 papers), Railway Engineering and Dynamics (4 papers), Mechanical stress and fatigue analysis (4 papers), Rock Mechanics and Modeling (3 papers), Advanced Neural Network Applications (3 papers), Microstructure and Mechanical Properties of Steels (3 papers), Robotics and Sensor-Based Localization (3 papers) and Seismic Waves and Analysis (2 papers). The work is most often cited by research in Mechanics of Materials (141 citations), Automotive Engineering (55 citations), General Engineering (5 citations), Computer Vision and Pattern Recognition (87 citations) and Mechanical Engineering (134 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, Jie Lin, Armin Mustafa, Quang-Hieu Pham, 李地元, Pingkuang Luo and Chenxi Zhang. Their work appears in journals such as Wear, Applied Sciences, Materials Characterization, 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.