Ya Jun Yu
Impact in
- Mechanics of Materials top 5%
- Thermoelastic and Magnetoelastic Phenomena
- Numerical methods in engineering
- Composite Structure Analysis and Optimization
- Modeling and Simulation top 5%
Papers in
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- Thermoelastic and Magnetoelastic Phenomena 8
- Numerical methods in engineering 4
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- Advanced Adaptive Filtering Techniques 5
- Co-authors
- Yong Liang Guan (3 shared papers)Rui Fan (3 shared papers)Li Zhao (1 shared paper)Zhangna Xue (1 shared paper)Xiaogeng Tian (2 shared papers)Yong Ching Lim (3 shared papers)Kai Zhang (2 shared papers)Wu‐Ming Liu (1 shared paper)
In The Last Decade
Ya Jun Yu
24 papers receiving 713 citations
Peers
Comparison fields: 5 of 40
- Mechanics of Materials 241
- Modeling and Simulation 41
- Signal Processing 65
- Electrical and Electronic Engineering 332
- Aerospace Engineering 103
Countries citing papers authored by Ya Jun Yu
This map shows the geographic impact of Ya Jun 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 Ya Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Jun Yu more than expected).
Fields of papers citing papers by Ya Jun Yu
This network shows the impact of papers produced by Ya Jun 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 Ya Jun Yu. The network helps show where Ya Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Jun Yu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 243 | |
| 2 | 2018 | 77 | |
| 3 | 2013 | 57 | |
| 4 | 2020 | 54 | |
| 5 | 2020 | 39 | |
| 6 | 2014 | 32 | |
| 7 | 2002 | 31 | |
| 8 | 2019 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2019 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 17 | |
| 14 | 2002 | 15 | |
| 15 | 2013 | 12 | |
| 16 | 2003 | 8 | |
| 17 | 2014 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2012 | 3 | |
| 20 | 2015 | 3 |
About Ya Jun Yu
Ya Jun Yu is a scholar working on Mechanics of Materials, Computational Mechanics, Mechanical Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 25 papers that have together received 730 indexed citations. Recurring topics across this work include Thermoelastic and Magnetoelastic Phenomena (8 papers), Nonlocal and gradient elasticity in micro/nano structures (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Numerical methods in engineering (4 papers), Digital Filter Design and Implementation (4 papers), Advanced Wireless Communication Technologies (3 papers), PAPR reduction in OFDM (3 papers) and Optical Wireless Communication Technologies (2 papers). The work is most often cited by research in Mechanics of Materials (241 citations), Modeling and Simulation (41 citations), Signal Processing (65 citations), Electrical and Electronic Engineering (332 citations) and Aerospace Engineering (103 citations). Ya Jun Yu has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yong Liang Guan, Rui Fan, Li Zhao, Zhangna Xue, Xiaogeng Tian, Yong Ching Lim, Kai Zhang, Wu‐Ming Liu, Hongchao Kou and Jun Wang. Their work appears in journals such as Applied Mathematical Modelling, European Journal of Mechanics - A/Solids, IEEE Transactions on Signal Processing, Metallurgical and Materials Transactions A and Materials Science and Engineering A.
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.