Jia Lee

1.1k citations
68 papers · 590 · h-index 12

Impact in

Papers in

Jia Lee

59 papers receiving 569 citations

Peers

Jia Lee
Comparison fields: 5 of 79
  • Computational Theory and Mathematics 273
  • Computer Networks and Communications 164
  • Software 15
  • Artificial Intelligence 123
  • Electrical and Electronic Engineering 187
Replace Ryuhei Uehara with:
Ryuhei Uehara Japan
Ilias Kotsireas Canada
Martin Hofmann Germany
Luca Bortolussi Italy
Tao B. Schardl United States
Khaled Day Oman
Weijie Zheng China
Paul A. Catlin United States
Padma Raghavan United States
Hans Jürgen Prömel Germany
Jia Lee relative to Ryuhei Uehara Japan Ryuhei Uehara's profile →
Citations per field
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Ryuhei Uehara · 1×
Citations per year

Countries citing papers authored by Jia Lee

Since Specialization
Citations

This map shows the geographic impact of Jia Lee'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 Jia Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Lee more than expected).

Fields of papers citing papers by Jia Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia Lee. 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 Jia Lee. The network helps show where Jia Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Jia Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jia Lee Line = papers co-authored together Jia Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 200351
3 202149
4 200345
5 200428
6
Embedding universal delay-insensitive circuits in asynchronous cellular spaces
200323
7 201323
8 201921
9 200417
10 201917
11 201916
12
On Brownian cellular automata.
200813
13 200411
14 201911
15 201810
16 20219
17 20119
18 20168
19
On Signals in Asynchronous Cellular Spaces
20047
20
Brownian Circuits: Designs.
20167

About Jia Lee

Jia Lee is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology and Computer Networks and Communications, having authored 68 papers that have together received 590 indexed citations. Recurring topics across this work include Cellular Automata and Applications (36 papers), Advanced Memory and Neural Computing (15 papers), Quantum-Dot Cellular Automata (14 papers), DNA and Biological Computing (12 papers), Modular Robots and Swarm Intelligence (8 papers), Quantum Computing Algorithms and Architecture (7 papers), Advanced Data Storage Technologies (5 papers) and Low-power high-performance VLSI design (4 papers). The work is most often cited by research in Computational Theory and Mathematics (273 citations), Computer Networks and Communications (164 citations), Software (15 citations), Artificial Intelligence (123 citations) and Electrical and Electronic Engineering (187 citations). Jia Lee has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Ferdinand Peper, Susumu Adachi, Yunni Xia, Chunrong Wu, Qinglan Peng, Kenichi Morita, Shinro Mashiko, Kenji Leibnitz, Kyungmin Bae and Teijiro Isokawa. Their work appears in journals such as Physica D Nonlinear Phenomena, Information Sciences, Theoretical Computer Science, IEEE Access and International Journal of Modern Physics C.

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.

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