Chung-Cheng Chou
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Co-authors
- Tsung-Yung Jonathan ChangYu-Der ChihMeng‐Fan ChangChin-I SuWin-San KhwaMon‐Shu HoChih-Cheng HsiehChung‐Chuan Lo
- Topics
- Ferroelectric and Negative Capacitance Devices (7 papers)Advanced Memory and Neural Computing (6 papers)Semiconductor materials and devices (6 papers)
- Cited by
- Electrical and Electronic EngineeringHardware and ArchitectureCellular and Molecular Neuroscience
- Journals
- ScienceNature Electronics2021 IEEE International Electron Devices Meeting (IEDM)
In The Last Decade
Chung-Cheng Chou
8 papers receiving 320 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 301
- Cellular and Molecular Neuroscience 68
- Artificial Intelligence 48
- Hardware and Architecture 28
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Chung-Cheng Chou
This map shows the geographic impact of Chung-Cheng Chou'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 Chung-Cheng Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Cheng Chou more than expected).
Fields of papers citing papers by Chung-Cheng Chou
This network shows the impact of papers produced by Chung-Cheng Chou. 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 Chung-Cheng Chou. The network helps show where Chung-Cheng Chou may publish in the future.
Co-authorship network of co-authors of Chung-Cheng Chou
This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Cheng Chou. A scholar is included among the top collaborators of Chung-Cheng Chou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chung-Cheng Chou. Chung-Cheng Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 20 | |
| 3 | 23 | |
| 4 | 86 | |
| 5 | 41 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 87 |
About Chung-Cheng Chou
Chung-Cheng Chou is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Mechanics of Materials, having authored 8 papers that have together received 326 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (7 papers), Advanced Memory and Neural Computing (6 papers) and Semiconductor materials and devices (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (301 citations), Hardware and Architecture (28 citations) and Cellular and Molecular Neuroscience (68 citations). Chung-Cheng Chou has collaborated with scholars based in Taiwan and China. Frequent co-authors include Tsung-Yung Jonathan Chang, Yu-Der Chih, Meng‐Fan Chang, Chin-I Su, Win-San Khwa, Mon‐Shu Ho, Chih-Cheng Hsieh, Chung‐Chuan Lo, Kea‐Tiong Tang and Ren-Shuo Liu. Their work appears in journals such as Science, Nature Electronics and 2021 IEEE International Electron Devices Meeting (IEDM).
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.