Yung‐Hui Chung
- Biomedical Engineering top 10%
- Analog and Mixed-Signal Circuit Design 39
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- CCD and CMOS Imaging Sensors 36
- Advancements in Semiconductor Devices and Circuit Design 12
- Advancements in PLL and VCO Technologies 6
- Low-power high-performance VLSI design 4
- Advanced MEMS and NEMS Technologies 2
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- Neuroscience and Neural Engineering 11
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- Sensor Technology and Measurement Systems 3
- Cited by
- Biomedical EngineeringElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (4 papers)IEEE Transactions on Circuits & Systems II Express Briefs (3 papers)IEEE Transactions on Circuits and Systems I Regular Papers (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yung‐Hui Chung
36 papers receiving 310 citations
Peers
Comparison fields: 5 of 20
- Biomedical Engineering 301
- Electrical and Electronic Engineering 308
- Cellular and Molecular Neuroscience 31
- Bioengineering 9
- Computer Networks and Communications 36
Countries citing papers authored by Yung‐Hui Chung
This map shows the geographic impact of Yung‐Hui Chung'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 Yung‐Hui Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Hui Chung more than expected).
Fields of papers citing papers by Yung‐Hui Chung
This network shows the impact of papers produced by Yung‐Hui Chung. 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 Yung‐Hui Chung. The network helps show where Yung‐Hui Chung may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Yung‐Hui Chung, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 18 | |
| 14 | 2017 | 13 | |
| 15 | 2017 | 11 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2014 | 41 | |
| 20 | 2012 | 9 |
About Yung‐Hui Chung
Yung‐Hui Chung is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 317 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (39 papers), CCD and CMOS Imaging Sensors (36 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Neuroscience and Neural Engineering (11 papers), Advancements in PLL and VCO Technologies (6 papers), Low-power high-performance VLSI design (4 papers), Sensor Technology and Measurement Systems (3 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Biomedical Engineering (301 citations), Electrical and Electronic Engineering (308 citations) and Cellular and Molecular Neuroscience (31 citations). Yung‐Hui Chung has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jieh-Tsorng Wu, Bo‐Wei Chen, Yu‐Hsiang Wang, Chung‐Wei Lin, Wei‐Chung Lin, Yung‐Chi Chang and J.B. Kuo. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Circuits and Systems I Regular Papers, International Journal of Circuit Theory and Applications and IEEE Journal of Solid-State Circuits.
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.