Jonathan Tse
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
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- Advanced Memory and Neural Computing
- Integrated Circuits and Semiconductor Failure Analysis
- Low-power high-performance VLSI design
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Low-power high-performance VLSI design 3
- Advanced Memory and Neural Computing 2
- Integrated Circuits and Semiconductor Failure Analysis 1
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- Parallel Computing and Optimization Techniques 3
- Physical Unclonable Functions (PUFs) and Hardware Security 2
- Co-authors
- Rajit Manohar (6 shared papers)Benjamin Mako Hill (3 shared papers)Carlos Ortega (1 shared paper)Andrew Lines (2 shared papers)Prasad Joshi (1 shared paper)S. McCoy (1 shared paper)Mike Davies (1 shared paper)Daniel Pak-Kong Lun (1 shared paper)
- Journals
- Ethics and Information Technology (1 paper)CHEST Journal (1 paper)eCommons (Cornell University) (1 paper)
- Partner nations
- United StatesSwitzerlandHong Kong
In The Last Decade
Jonathan Tse
11 papers receiving 139 citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 70
- Electrical and Electronic Engineering 115
- Cellular and Molecular Neuroscience 25
- Computer Networks and Communications 23
- Artificial Intelligence 25
Countries citing papers authored by Jonathan Tse
This map shows the geographic impact of Jonathan Tse'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 Jonathan Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tse more than expected).
Fields of papers citing papers by Jonathan Tse
This network shows the impact of papers produced by Jonathan Tse. 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 Jonathan Tse. The network helps show where Jonathan Tse may publish in the future.
Co-authors
The 15 scholars most cited alongside Jonathan Tse, 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 | 2013 | 35 | |
| 2 | 2018 | 27 | |
| 3 | 2010 | 21 | |
| 4 | 2015 | 19 | |
| 5 | 2013 | 10 | |
| 6 | 2014 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 7 | |
| 9 | 2013 | 5 | |
| 10 | 2002 | 3 | |
| 11 | 2017 | 2 |
About Jonathan Tse
Jonathan Tse is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 11 papers that have together received 148 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (3 papers), Parallel Computing and Optimization Techniques (3 papers), Neuroscience and Neural Engineering (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Interconnection Networks and Systems (2 papers), Advanced Memory and Neural Computing (2 papers), Integrated Circuits and Semiconductor Failure Analysis (1 paper) and Pharmacological Effects and Assays (1 paper). The work is most often cited by research in Hardware and Architecture (70 citations), Electrical and Electronic Engineering (115 citations), Cellular and Molecular Neuroscience (25 citations), Computer Networks and Communications (23 citations) and Artificial Intelligence (25 citations). Jonathan Tse has collaborated with scholars based in United States, Switzerland and Hong Kong. Frequent co-authors include Rajit Manohar, Benjamin Mako Hill, Carlos Ortega, Andrew Lines, Prasad Joshi, S. McCoy, Mike Davies, Daniel Pak-Kong Lun, Dawn E. Schrader and Nabil Imam. Their work appears in journals such as Ethics and Information Technology, CHEST Journal and eCommons (Cornell University).
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.