Ya Jun Yu
Impact in
- Signal Processing top 1%
- Digital Filter Design and Implementation
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Digital Filter Design and Implementation 47
-
- Advanced Adaptive Filtering Techniques 29
- Co-authors
- Yong Ching Lim (16 shared papers)Wen Bin Ye (7 shared papers)Yaw Chyn Lim (5 shared papers)T. Saramäki (6 shared papers)Xin Lou (7 shared papers)Pramod Kumar Meher (5 shared papers)Sang Yoon Park (1 shared paper)Kok Lay Teo (5 shared papers)
In The Last Decade
Ya Jun Yu
52 papers receiving 688 citations
Peers
Comparison fields: 5 of 43
- Signal Processing 623
- Computational Mechanics 340
- Computer Vision and Pattern Recognition 303
- Computational Theory and Mathematics 188
- Biomedical Engineering 182
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 23 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 86 | |
| 2 | 2007 | 62 | |
| 3 | 2005 | 45 | |
| 4 | 2005 | 39 | |
| 5 | 2012 | 32 | |
| 6 | 2007 | 32 | |
| 7 | 2009 | 30 | |
| 8 | 2013 | 28 | |
| 9 | 2014 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2003 | 18 | |
| 12 | 2011 | 18 | |
| 13 | 2010 | 18 | |
| 14 | 2003 | 18 | |
| 15 | 2002 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2011 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2004 | 15 | |
| 20 | 2009 | 13 |
About Ya Jun Yu
Ya Jun Yu is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering, having authored 52 papers that have together received 737 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (47 papers), Advanced Adaptive Filtering Techniques (29 papers), Image and Signal Denoising Methods (16 papers), Advanced Data Compression Techniques (12 papers), Numerical Methods and Algorithms (10 papers), Analog and Mixed-Signal Circuit Design (7 papers), Advancements in PLL and VCO Technologies (6 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Signal Processing (623 citations), Computational Mechanics (340 citations), Computer Vision and Pattern Recognition (303 citations), Computational Theory and Mathematics (188 citations) and Biomedical Engineering (182 citations). Ya Jun Yu has collaborated with scholars based in Singapore, China and Finland. Frequent co-authors include Yong Ching Lim, Wen Bin Ye, Yaw Chyn Lim, T. Saramäki, Xin Lou, Pramod Kumar Meher, Sang Yoon Park, Kok Lay Teo, Robert Bregović and Wenbin Ye. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Signal Processing, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Access and Signal Processing.
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.