Yen-Kai Chen
Impact in
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Memory and Neural Computing 5
- CCD and CMOS Imaging Sensors 3
- Ferroelectric and Negative Capacitance Devices 2
-
- Neuroscience and Neural Engineering 2
- Co-authors
- Ren-Shuo Liu (5 shared papers)Meng‐Fan Chang (5 shared papers)Kea‐Tiong Tang (5 shared papers)Chih-Cheng Hsieh (5 shared papers)Tzu-Hsiang Hsu (5 shared papers)Cheng-Xin Xue (2 shared papers)Ya‐Chin King (1 shared paper)Wei‐Yu Lin (1 shared paper)
- Journals
- PLoS ONE (1 paper)Polymers (1 paper)Annals of Plastic Surgery (1 paper)IEEE Journal of Solid-State Circuits (1 paper)Diagnostics (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Yen-Kai Chen
10 papers receiving 561 citations
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 486
- Hardware and Architecture 47
- Cellular and Molecular Neuroscience 76
- Computer Vision and Pattern Recognition 72
- Artificial Intelligence 92
Countries citing papers authored by Yen-Kai Chen
This map shows the geographic impact of Yen-Kai Chen'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 Yen-Kai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Kai Chen more than expected).
Fields of papers citing papers by Yen-Kai Chen
This network shows the impact of papers produced by Yen-Kai Chen. 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 Yen-Kai Chen. The network helps show where Yen-Kai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen-Kai Chen, 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 | 2018 | 267 | |
| 2 | 2020 | 186 | |
| 3 | 2011 | 35 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 17 | |
| 7 | 2024 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 2 | |
| 10 | 2006 | 1 | |
| 11 | 2025 | 0 |
About Yen-Kai Chen
Yen-Kai Chen is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Infectious Diseases, Surgery and Computer Networks and Communications, having authored 11 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), CCD and CMOS Imaging Sensors (3 papers), Neuroscience and Neural Engineering (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Tuberculosis Research and Epidemiology (1 paper), Image Processing Techniques and Applications (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (486 citations), Hardware and Architecture (47 citations), Cellular and Molecular Neuroscience (76 citations), Computer Vision and Pattern Recognition (72 citations) and Artificial Intelligence (92 citations). Yen-Kai Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Ren-Shuo Liu, Meng‐Fan Chang, Kea‐Tiong Tang, Chih-Cheng Hsieh, Tzu-Hsiang Hsu, Cheng-Xin Xue, Ya‐Chin King, Wei‐Yu Lin, Kuo-Hsiang Hsu and Chorng-Jung Lin. Their work appears in journals such as PLoS ONE, Polymers, Annals of Plastic Surgery, IEEE Journal of Solid-State Circuits and Diagnostics.
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.