J. Yuen
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Hardware and Architecture top 10%
Papers in
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- VLSI and Analog Circuit Testing 7
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- Integrated Circuits and Semiconductor Failure Analysis 6
- Low-power high-performance VLSI design 2
- VLSI and FPGA Design Techniques 1
- Co-authors
- Antonio Torralba (2 shared papers)Ce Liu (1 shared paper)Salvador Ruíz-Correa (1 shared paper)Robert Paasch (1 shared paper)Eric N. Mortensen (1 shared paper)Linda G. Shapiro (1 shared paper)Thomas G. Dietterich (1 shared paper)Andrew R. Moldenke (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Journal of Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Conference on Computer Aided Design (1 paper)
- Partner nations
- United States
In The Last Decade
J. Yuen
7 papers receiving 297 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 246
- Hardware and Architecture 29
- Media Technology 24
- Geology 9
- Artificial Intelligence 45
Countries citing papers authored by J. Yuen
This map shows the geographic impact of J. Yuen'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 J. Yuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Yuen more than expected).
Fields of papers citing papers by J. Yuen
This network shows the impact of papers produced by J. Yuen. 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 J. Yuen. The network helps show where J. Yuen may publish in the future.
Co-authors
The 11 scholars most cited alongside J. Yuen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 256 | |
| 2 | 2007 | 19 | |
| 3 | 1994 | 16 | |
| 4 | 2015 | 12 | |
| 5 | 1993 | 1 | |
| 6 | 2011 | 1 | |
| 7 | 2003 | 1 | |
| 8 | 2003 | 0 | |
| 9 | 2003 | 0 | |
| 10 | 2002 | 0 |
About J. Yuen
J. Yuen is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Ecology, having authored 10 papers that have together received 306 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (7 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Low-power high-performance VLSI design (2 papers), Engineering and Test Systems (2 papers), Species Distribution and Climate Change (1 paper), Robotics and Sensor-Based Localization (1 paper), Remote Sensing in Agriculture (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Hardware and Architecture (29 citations), Media Technology (24 citations), Geology (9 citations) and Artificial Intelligence (45 citations). J. Yuen has collaborated with scholars based in United States. Frequent co-authors include Antonio Torralba, Ce Liu, Salvador Ruíz-Correa, Robert Paasch, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich, Andrew R. Moldenke, David A. Lytle and Hongli Deng. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Journal of Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Conference on Computer Aided Design.
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.