Don‐Gey Liu
Impact in
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- Medical Image Segmentation Techniques
Papers in
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- Advancements in Semiconductor Devices and Circuit Design 7
- Semiconductor materials and devices 6
- Semiconductor Lasers and Optical Devices 5
- Thin-Film Transistor Technologies 5
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- Analog and Mixed-Signal Circuit Design 8
- Co-authors
- Ching-Hwa Cheng (21 shared papers)Thanh-Tuan Nguyen (3 shared papers)Juin J. Liou (3 shared papers)Zhixin Wang (2 shared papers)Wen Yang (6 shared papers)Chih‐Yuan Cheng (2 shared papers)Ching-Sung Lee (3 shared papers)Shih‐Yi Yuan (1 shared paper)
In The Last Decade
Don‐Gey Liu
44 papers receiving 339 citations
Peers
Comparison fields: 5 of 64
- Instrumentation 19
- Computer Vision and Pattern Recognition 85
- Neurology 29
- Electrical and Electronic Engineering 158
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Don‐Gey Liu
This map shows the geographic impact of Don‐Gey Liu'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 Don‐Gey Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don‐Gey Liu more than expected).
Fields of papers citing papers by Don‐Gey Liu
This network shows the impact of papers produced by Don‐Gey Liu. 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 Don‐Gey Liu. The network helps show where Don‐Gey Liu may publish in the future.
Co-authors
The 22 scholars most cited alongside Don‐Gey Liu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2021 | 49 | |
| 3 | 2015 | 32 | |
| 4 | 2014 | 15 | |
| 5 | 2000 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2013 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2010 | 10 | |
| 11 | 2011 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2007 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2010 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2001 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2013 | 4 |
About Don‐Gey Liu
Don‐Gey Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Environmental Engineering and Electronic, Optical and Magnetic Materials, having authored 50 papers that have together received 358 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Remote Sensing and LiDAR Applications (6 papers), Semiconductor materials and devices (6 papers), Liquid Crystal Research Advancements (6 papers), Semiconductor Lasers and Optical Devices (5 papers), Robotics and Sensor-Based Localization (5 papers) and Thin-Film Transistor Technologies (5 papers). The work is most often cited by research in Instrumentation (19 citations), Computer Vision and Pattern Recognition (85 citations), Neurology (29 citations), Electrical and Electronic Engineering (158 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Don‐Gey Liu has collaborated with scholars based in Taiwan, Vietnam and China. Frequent co-authors include Ching-Hwa Cheng, Thanh-Tuan Nguyen, Juin J. Liou, Zhixin Wang, Wen Yang, Chih‐Yuan Cheng, Ching-Sung Lee, Shih‐Yi Yuan, Tan Fu Lei and Tien Sheng Chao. Their work appears in journals such as Japanese Journal of Applied Physics, Electronics, IEEE Electron Device Letters, IEEE Transactions on Electron Devices and IEEE Transactions on Device and Materials Reliability.
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.