Jang‐Kyoo Shin
- Bioengineering top 2%
- Analytical Chemistry and Sensors 29
- Media Technology top 5%
- Image Processing Techniques and Applications 48
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- CCD and CMOS Imaging Sensors 86
- Advanced Memory and Neural Computing 15
- Thin-Film Transistor Technologies 11
- Electrochemistry top 10%
- Instrumentation top 10%
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- Infrared Target Detection Methodologies 37
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- Neuroscience and Neural Engineering 25
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- Nanowire Synthesis and Applications 19
- Co-authors
- Pyung ChoiGeunbae LimJong‐Hyun LeeDong Sun KimMyunghan BaeSung‐Hyun JoByoung-Soo ChoiDongsun Kim
- Partner nations
- South KoreaJapanAustralia
In The Last Decade
Jang‐Kyoo Shin
109 papers receiving 739 citations
Peers
Comparison fields: 5 of 74
- Bioengineering 229
- Media Technology 105
- Electrical and Electronic Engineering 521
- Electrochemistry 51
- Instrumentation 27
Countries citing papers authored by Jang‐Kyoo Shin
This map shows the geographic impact of Jang‐Kyoo Shin'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 Jang‐Kyoo Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jang‐Kyoo Shin more than expected).
Fields of papers citing papers by Jang‐Kyoo Shin
This network shows the impact of papers produced by Jang‐Kyoo Shin. 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 Jang‐Kyoo Shin. The network helps show where Jang‐Kyoo Shin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jang‐Kyoo Shin, 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 | 2022 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 4 | |
| 6 | 2018 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 58 | |
| 10 | 2015 | 3 | |
| 11 | 2015 | 3 | |
| 12 | Target tracking system using a smart vision chip with column-parallel analog signal processing | 2009 | 1 |
| 13 | A 160×120 CMOS Vision Chip for Edge Detection Using a Logarithmic Active Pixel Sensor with reduced noise | 2007 | 1 |
| 14 | CMOS imager with 128×128 pixels for edge detection using a simplified CDS circuit | 2005 | 0 |
| 15 | A Bio-Motivated CMOS Vision Chip for Edge Detection with Saturating Resistive Network | 2005 | 0 |
| 16 | 2005 | 1 | |
| 17 | Noise Reduction in CMOS Active Pixel Sensor by Electric Shutter and Current Subtractor | 2004 | 3 |
| 18 | Quantum Wire SOI MOSFET with Sub-band Effects Using Conventional Photolithography and Its Application to Photodetector | 2004 | 4 |
| 19 | 2004 | 17 | |
| 20 | Highly sensitive PMOSFET photodetector and its application to CMOS active pixel sensor | 2003 | 5 |
About Jang‐Kyoo Shin
Jang‐Kyoo Shin is a scholar working on Media Technology, Bioengineering and Instrumentation, having authored 131 papers that have together received 807 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (86 papers), Image Processing Techniques and Applications (48 papers), Infrared Target Detection Methodologies (37 papers), Analytical Chemistry and Sensors (29 papers), Neuroscience and Neural Engineering (25 papers), Nanowire Synthesis and Applications (19 papers), Advanced Memory and Neural Computing (15 papers) and Thin-Film Transistor Technologies (11 papers). The work is most often cited by research in Bioengineering (229 citations), Media Technology (105 citations) and Electrical and Electronic Engineering (521 citations). Jang‐Kyoo Shin has collaborated with scholars based in South Korea, Japan and Australia. Frequent co-authors include Pyung Choi, Geunbae Lim, Jong‐Hyun Lee, Dong Sun Kim, Myunghan Bae, Sung‐Hyun Jo, Byoung-Soo Choi, Dongsun Kim, Chul‐Ho Won and Sang‐Hwan Kim. Their work appears in journals such as Advanced Materials, ACS Nano and Journal of Materials Science.
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.