Chih-Cheng Hsieh
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- CCD and CMOS Imaging Sensors 80
- Advanced Memory and Neural Computing 50
- Ferroelectric and Negative Capacitance Devices 23
- Advancements in Semiconductor Devices and Circuit Design 18
- Semiconductor materials and devices 17
- Hardware and Architecture top 2%
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- Neuroscience and Neural Engineering 28
- Biomedical Engineering top 5%
- Analog and Mixed-Signal Circuit Design 47
- Instrumentation top 10%
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- Analytical Chemistry and Sensors 14
- Co-authors
- Kea‐Tiong TangMeng‐Fan ChangRen-Shuo LiuS. T. HsiehJinyi LinChung‐Chuan LoWei-Chen WeiTzu-Hsiang Hsu
- Cited by
- Electrical and Electronic EngineeringHardware and ArchitectureCellular and Molecular Neuroscience
- Journals
- Science (1 paper)IEEE Journal of Solid-State Circuits (28 papers)IEEE Transactions on Electron Devices (4 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chih-Cheng Hsieh
131 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 82
- Electrical and Electronic Engineering 3.2k
- Hardware and Architecture 270
- Cellular and Molecular Neuroscience 462
- Biomedical Engineering 888
- Instrumentation 63
Countries citing papers authored by Chih-Cheng Hsieh
This map shows the geographic impact of Chih-Cheng Hsieh'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 Chih-Cheng Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Cheng Hsieh more than expected).
Fields of papers citing papers by Chih-Cheng Hsieh
This network shows the impact of papers produced by Chih-Cheng Hsieh. 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 Chih-Cheng Hsieh. The network helps show where Chih-Cheng Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih-Cheng Hsieh, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 47 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 91 | |
| 10 | 2021 | 143 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 180 | |
| 13 | 2020 | 65 | |
| 14 | 2019 | 20 | |
| 15 | 2019 | 159 | |
| 16 | 2018 | 19 | |
| 17 | 2018 | 42 | |
| 18 | 2018 | 33 | |
| 19 | 2018 | 10 | |
| 20 | 2016 | 22 |
About Chih-Cheng Hsieh
Chih-Cheng Hsieh is a scholar working on Bioengineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 138 papers that have together received 3.4k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (80 papers), Advanced Memory and Neural Computing (50 papers), Analog and Mixed-Signal Circuit Design (47 papers), Neuroscience and Neural Engineering (28 papers), Ferroelectric and Negative Capacitance Devices (23 papers), Advancements in Semiconductor Devices and Circuit Design (18 papers), Semiconductor materials and devices (17 papers) and Analytical Chemistry and Sensors (14 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.2k citations), Hardware and Architecture (270 citations) and Cellular and Molecular Neuroscience (462 citations). Chih-Cheng Hsieh has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kea‐Tiong Tang, Meng‐Fan Chang, Ren-Shuo Liu, S. T. Hsieh, Jinyi Lin, Chung‐Chuan Lo, Wei-Chen Wei, Tzu-Hsiang Hsu, Chung‐Yu Wu and Cheng-Xin Xue. Their work appears in journals such as Science, IEEE Journal of Solid-State Circuits and IEEE Transactions on Electron Devices.
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.