Jae-Chern Yoo
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Optical measurement and interference techniques
- Image and Object Detection Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Microfluidic and Capillary Electrophoresis Applications 6
- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Microfluidic and Bio-sensing Technologies 3
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- Electrowetting and Microfluidic Technologies 4
- Co-authors
- Tae Hee Han (6 shared papers)Chang Wook Ahn (3 shared papers)Jinung An (1 shared paper)Hyoung-Kee Choi (2 shared papers)Youngsoo Kim (2 shared papers)Jae‐Hoon Lee (1 shared paper)Sun Young Kim (1 shared paper)Yang‐Kyu Choi (1 shared paper)
- Journals
- Sensors (5 papers)Digital Signal Processing (2 papers)Applied Biochemistry and Biotechnology (2 papers)Signal Processing (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Jae-Chern Yoo
35 papers receiving 1.1k citations
Jae-Chern Yoo's Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 457
- Media Technology 110
- Structural Biology 9
- Aerospace Engineering 156
- Human-Computer Interaction 27
Countries citing papers authored by Jae-Chern Yoo
This map shows the geographic impact of Jae-Chern Yoo'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 Jae-Chern Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Chern Yoo more than expected).
Fields of papers citing papers by Jae-Chern Yoo
This network shows the impact of papers produced by Jae-Chern Yoo. 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 Jae-Chern Yoo. The network helps show where Jae-Chern Yoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae-Chern Yoo, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fast Normalized Cross-Correlation Hit paper breakdown → | 2009 | 769 |
| 2 | 2006 | 95 | |
| 3 | 2010 | 50 | |
| 4 | 2021 | 35 | |
| 5 | 2012 | 28 | |
| 6 | 2015 | 18 | |
| 7 | 2014 | 15 | |
| 8 | 2010 | 13 | |
| 9 | 2010 | 13 | |
| 10 | 2014 | 10 | |
| 11 | 2002 | 10 | |
| 12 | 2013 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2010 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2003 | 5 | |
| 20 | 2025 | 4 |
About Jae-Chern Yoo
Jae-Chern Yoo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Electrowetting and Microfluidic Technologies (4 papers), Infrared Target Detection Methodologies (3 papers), Neural Networks and Applications (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Blind Source Separation Techniques (3 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (457 citations), Media Technology (110 citations), Structural Biology (9 citations), Aerospace Engineering (156 citations) and Human-Computer Interaction (27 citations). Jae-Chern Yoo has collaborated with scholars based in South Korea and United States. Frequent co-authors include Tae Hee Han, Chang Wook Ahn, Jinung An, Hyoung-Kee Choi, Youngsoo Kim, Jae‐Hoon Lee, Sun Young Kim, Yang‐Kyu Choi, Kyoung‐Ho Kim and Sanggeun Jeon. Their work appears in journals such as Sensors, Digital Signal Processing, Applied Biochemistry and Biotechnology, Signal Processing and Artificial Intelligence in Medicine.
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.