Yung‐Chih Chen
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Co-authors
- Don TowsleyChun-Yao WangErich NahumYeon-sup LimChih‐Lung LinRichard GibbensRamin KhaliliChia-Chun Lin
- Topics
- Low-power high-performance VLSI design (28 papers)Advanced Memory and Neural Computing (21 papers)VLSI and Analog Circuit Testing (20 papers)
- Cited by
- Computer Networks and CommunicationsHardware and ArchitectureElectrical and Electronic Engineering
- Journals
- IEEE Journal on Selected Areas in CommunicationsRSC AdvancesIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Yung‐Chih Chen
102 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 56
- Electrical and Electronic Engineering 820
- Computer Networks and Communications 614
- Computer Vision and Pattern Recognition 123
- Hardware and Architecture 121
- Artificial Intelligence 96
Countries citing papers authored by Yung‐Chih Chen
This map shows the geographic impact of Yung‐Chih 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 Yung‐Chih Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Chih Chen more than expected).
Fields of papers citing papers by Yung‐Chih Chen
This network shows the impact of papers produced by Yung‐Chih 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 Yung‐Chih Chen. The network helps show where Yung‐Chih Chen may publish in the future.
Co-authorship network of co-authors of Yung‐Chih Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Chih Chen. A scholar is included among the top collaborators of Yung‐Chih Chen 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 Yung‐Chih Chen. Yung‐Chih Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 23 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 11 |
About Yung‐Chih Chen
Yung‐Chih Chen is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 117 papers that have together received 1.2k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (28 papers), Advanced Memory and Neural Computing (21 papers) and VLSI and Analog Circuit Testing (20 papers). The work is most often cited by research in Computer Networks and Communications (614 citations), Hardware and Architecture (121 citations) and Electrical and Electronic Engineering (820 citations). Yung‐Chih Chen has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Don Towsley, Chun-Yao Wang, Erich Nahum, Yeon-sup Lim, Chih‐Lung Lin, Richard Gibbens, Ramin Khalili, Chia-Chun Lin, Tony Sun and Hao-Hua Chu. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, RSC Advances and IEEE Transactions on Circuits and Systems for Video Technology.
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.