Chi‐Hang Chan
- Biomedical Engineering top 1%
- Analog and Mixed-Signal Circuit Design 106
-
- Advancements in Semiconductor Devices and Circuit Design 60
- CCD and CMOS Imaging Sensors 54
- Advancements in PLL and VCO Technologies 29
- Low-power high-performance VLSI design 25
- Semiconductor materials and devices 24
- Radio Frequency Integrated Circuit Design 18
- Advanced Memory and Neural Computing 12
- Hardware and Architecture top 5%
- Bioengineering top 10%
- Co-authors
- Rui P. MartinsYan ZhuU Seng‐PanSai‐Weng SinU-Fat ChioFranco MalobertiMinglei ZhangWenning Jiang
In The Last Decade
Chi‐Hang Chan
128 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Biomedical Engineering 2.0k
- Electrical and Electronic Engineering 2.2k
- Hardware and Architecture 88
- Cellular and Molecular Neuroscience 156
- Bioengineering 47
Countries citing papers authored by Chi‐Hang Chan
This map shows the geographic impact of Chi‐Hang Chan'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 Chi‐Hang Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Hang Chan more than expected).
Fields of papers citing papers by Chi‐Hang Chan
This network shows the impact of papers produced by Chi‐Hang Chan. 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 Chi‐Hang Chan. The network helps show where Chi‐Hang Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chi‐Hang Chan, 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 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 37 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 55 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 2 | |
| 19 | 2018 | 11 | |
| 20 | 2017 | 21 |
About Chi‐Hang Chan
Chi‐Hang Chan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Hardware and Architecture, having authored 134 papers that have together received 2.3k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (106 papers), Advancements in Semiconductor Devices and Circuit Design (60 papers), CCD and CMOS Imaging Sensors (54 papers), Advancements in PLL and VCO Technologies (29 papers), Low-power high-performance VLSI design (25 papers), Semiconductor materials and devices (24 papers), Radio Frequency Integrated Circuit Design (18 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Electrical and Electronic Engineering (2.2k citations) and Hardware and Architecture (88 citations). Chi‐Hang Chan has collaborated with scholars based in Macao, Portugal and China. Frequent co-authors include Rui P. Martins, Yan Zhu, U Seng‐Pan, Sai‐Weng Sin, U-Fat Chio, Franco Maloberti, Minglei Zhang, Wenning Jiang, He-Gong Wei and Shubin Liu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.