Don‐Gey Liu
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Semiconductor materials and devices 7
- Advancements in Semiconductor Devices and Circuit Design 7
- 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 (24 shared papers)Wen Yang (7 shared papers)Keng‐Liang Ou (1 shared paper)Chi-Chang Wu (1 shared paper)Thanh-Tuan Nguyen (3 shared papers)Juin J. Liou (3 shared papers)Zhixin Wang (2 shared papers)Chih‐Yuan Cheng (2 shared papers)
In The Last Decade
Don‐Gey Liu
46 papers receiving 423 citations
Peers
Comparison fields: 5 of 68
- Instrumentation 20
- Computer Vision and Pattern Recognition 94
- Electronic, Optical and Magnetic Materials 76
- Neurology 29
- Electrical and Electronic Engineering 215
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 25 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 62 | |
| 2 | 2020 | 61 | |
| 3 | 2021 | 52 | |
| 4 | 2015 | 33 | |
| 5 | 2019 | 17 | |
| 6 | 2014 | 15 | |
| 7 | 2000 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2013 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2007 | 10 | |
| 13 | 2010 | 10 | |
| 14 | 2011 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2010 | 8 | |
| 17 | 2001 | 7 | |
| 18 | 2011 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2021 | 5 |
About Don‐Gey Liu
Don‐Gey Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Environmental Engineering, having authored 54 papers that have together received 443 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), Semiconductor materials and devices (7 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Remote Sensing and LiDAR Applications (6 papers), Liquid Crystal Research Advancements (6 papers), Robotics and Sensor-Based Localization (6 papers), Semiconductor Lasers and Optical Devices (5 papers) and Thin-Film Transistor Technologies (5 papers). The work is most often cited by research in Instrumentation (20 citations), Computer Vision and Pattern Recognition (94 citations), Electronic, Optical and Magnetic Materials (76 citations), Neurology (29 citations) and Electrical and Electronic Engineering (215 citations). Don‐Gey Liu has collaborated with scholars based in Taiwan, Vietnam and China. Frequent co-authors include Ching-Hwa Cheng, Wen Yang, Keng‐Liang Ou, Chi-Chang Wu, Thanh-Tuan Nguyen, Juin J. Liou, Zhixin Wang, Chih‐Yuan Cheng, Sy‐Ruen Huang and Ching-Sung Lee. Their work appears in journals such as Japanese Journal of Applied Physics, Electronics, IEEE Electron Device Letters, IEEE Transactions on Electron Devices and Microwave and Optical Technology Letters.
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.