Kung
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
- Computational Theory and Mathematics top 0.5%
Papers in
-
- Advanced Memory and Neural Computing 3
- Low-power high-performance VLSI design 3
-
- Machine Learning and ELM 4
- Neural Networks and Applications 4
- Algorithms and Data Compression 2
- Co-authors
- Brent (1 shared paper)Hwang (4 shared papers)David S. Touretzky (1 shared paper)Jean (1 shared paper)Pang (1 shared paper)LU LU (2 shared papers)Peng Hwa Ang (1 shared paper)Lin (1 shared paper)
- Journals
- Computer (3 papers)IEEE Transactions on Computers (2 papers)Clinical Endocrinology (1 paper)中国神经再生研究：英文版 (1 paper)武汉理工大学学报：材料科学英文版 (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Kung
27 papers receiving 3.2k citations
Kung's Hit Papers
Peers
Comparison fields: 5 of 118
- Hardware and Architecture 1.3k
- Computational Theory and Mathematics 859
- Signal Processing 441
- Computer Networks and Communications 930
- Artificial Intelligence 1.0k
Countries citing papers authored by Kung
This map shows the geographic impact of Kung'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 Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kung more than expected).
Fields of papers citing papers by Kung
This network shows the impact of papers produced by Kung. 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 Kung. The network helps show where Kung may publish in the future.
Co-authors
The 25 scholars most cited alongside Kung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Why systolic architectures? Hit paper breakdown → | 1982 | 1699 |
| 2 | A Regular Layout for Parallel Adders Hit paper breakdown → | 1982 | 869 |
| 3 | 1980 | 192 | |
| 4 | 1988 | 133 | |
| 5 | 1988 | 114 | |
| 6 | 1988 | 113 | |
| 7 | 1985 | 88 | |
| 8 | 1987 | 83 | |
| 9 | 1992 | 61 | |
| 10 | 1998 | 61 | |
| 11 | Cancer Immunotherapy Targeting the Telomerase Reverse Transcriptase | 2006 | 23 |
| 12 | Rapid quantification of semen hepatitis B virus DNA by real-time polymerase chain reaction | 2005 | 18 |
| 13 | 1988 | 12 | |
| 14 | 1988 | 8 | |
| 15 | A dual-receiving visible-light communication system under time-variant non-clear sky channel for intelligent transportation system | 2011 | 7 |
| 16 | High sensitivity and high selectivity terahertz biomedical imaging | 2011 | 6 |
| 17 | Sensor Networking： Concepts, Applications, and Challenges | 2006 | 5 |
| 18 | 10Gb/s and 40Gb/s ultra-long haul transmission on a common all-Raman single-wide-band platform | 2002 | 2 |
| 19 | 2008 | 2 | |
| 20 | 1989 | 2 |
About Kung
Kung is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Hardware and Architecture, having authored 27 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Learning and ELM (4 papers), Neural Networks and Applications (4 papers), Cellular Automata and Applications (3 papers), Advanced Memory and Neural Computing (3 papers), Low-power high-performance VLSI design (3 papers), Algorithms and Data Compression (2 papers), Interconnection Networks and Systems (2 papers) and VLSI and Analog Circuit Testing (2 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computational Theory and Mathematics (859 citations), Signal Processing (441 citations), Computer Networks and Communications (930 citations) and Artificial Intelligence (1.0k citations). Kung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Brent, Hwang, David S. Touretzky, Jean, Pang, LU LU, Peng Hwa Ang, Lin, Tang and Liu. Their work appears in journals such as Computer, IEEE Transactions on Computers, Clinical Endocrinology, 中国神经再生研究：英文版 and 武汉理工大学学报：材料科学英文版.
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.