Lin Chen

2.1k citations
124 papers · 1.2k · h-index 19

Impact in

Papers in

Lin Chen

113 papers receiving 1.2k citations

Peers

Lin Chen
Comparison fields: 5 of 76
  • Computational Mathematics 38
  • Artificial Intelligence 942
  • Atomic and Molecular Physics, and Optics 831
  • Computational Theory and Mathematics 154
  • Acoustics and Ultrasonics 8
Replace Huangjun Zhu with:
Huangjun Zhu China
Koenraad M. R. Audenaert United Kingdom
Jeroen Dehaene Belgium
Nengkun Yu Australia
Yaoyun Shi United States
Markus Grassl Germany
Martin Rötteler United States
Nicolas Macris Switzerland
Christino Tamon United States
Damian Markham France
Lin Chen relative to Huangjun Zhu China Huangjun Zhu's profile →
Citations per field
00.5×1.5×2.1×
Huangjun Zhu · 1×
Citations per year

Countries citing papers authored by Lin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin Chen, 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 Lin Chen Line = papers co-authored together Lin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201649
3 201043
4 201140
5 201039
6 201835
7 201032
8 202431
9 200731
10 200931
11 202030
12 201128
13 200628
14 201725
15 201223
16 202122
17 201120
18 199319
19 200519
20 202118

About Lin Chen

Lin Chen is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology, having authored 124 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (91 papers), Quantum Computing Algorithms and Architecture (80 papers), Quantum Mechanics and Applications (68 papers), Algebraic structures and combinatorial models (7 papers), Quantum-Dot Cellular Automata (6 papers), Quantum and electron transport phenomena (6 papers), Quantum optics and atomic interactions (5 papers) and graph theory and CDMA systems (5 papers). The work is most often cited by research in Computational Mathematics (38 citations), Artificial Intelligence (942 citations), Atomic and Molecular Physics, and Optics (831 citations), Computational Theory and Mathematics (154 citations) and Acoustics and Ultrasonics (8 citations). Lin Chen has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Huangjun Zhu, Masahito Hayashi, Yi-Xin Chen, Li Yu, Dragomir Ž. Ðoković, Xiande Zhang, Eric Chitambar, Aimin Xu, Haifeng Dong and Yang Gao. Their work appears in journals such as Quantum Information Processing, Physical Review A, Physical review. A, Journal of Physics A Mathematical and Theoretical and Annalen der Physik.

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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