Jinquan Luo

1.5k citations
50 papers · 957 · h-index 16

Impact in

Papers in

Jinquan Luo

43 papers receiving 908 citations

Peers

Jinquan Luo
Comparison fields: 5 of 33
  • Discrete Mathematics and Combinatorics 138
  • Artificial Intelligence 918
  • Computational Theory and Mathematics 418
  • Computer Networks and Communications 248
  • Electrical and Electronic Engineering 544
Replace Victor Zinoviev with:
Victor Zinoviev Russia
Jon-Lark Kim South Korea
Nicolas Sendrier France
Nuh Aydın United States
Bahattin Yıldız Türkiye
İrfan Şiap Türkiye
Cuiling Fan China
Ana Sălăgean United Kingdom
S.M. Dodunekov Bulgaria
J. D. Key United States
Jinquan Luo relative to Victor Zinoviev Russia Victor Zinoviev's profile →
Citations per field
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Victor Zinoviev · 1×
Citations per year

Countries citing papers authored by Jinquan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jinquan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jinquan Luo, 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 Jinquan Luo Line = papers co-authored together Jinquan Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008104
2 2010101
3 200787
4 200773
5 200865
6 200863
7 201359
8 201047
9 201041
10 201336
11 201132
12 201924
13 201222
14 202020
15 202018
16 202116
17 201914
18 202213
19 202113
20 201111

About Jinquan Luo

Jinquan Luo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 50 papers that have together received 957 indexed citations. Recurring topics across this work include Coding theory and cryptography (46 papers), graph theory and CDMA systems (25 papers), Cellular Automata and Applications (16 papers), Error Correcting Code Techniques (12 papers), Quantum-Dot Cellular Automata (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Cooperative Communication and Network Coding (6 papers) and Advanced Wireless Communication Techniques (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (138 citations), Artificial Intelligence (918 citations), Computational Theory and Mathematics (418 citations), Computer Networks and Communications (248 citations) and Electrical and Electronic Engineering (544 citations). Jinquan Luo has collaborated with scholars based in China, Norway and Singapore. Frequent co-authors include Keqin Feng, Cunsheng Ding, San Ling, Chaoping Xing, Lingfei Jin, Harald Niederreiter, Torleiv Kløve, Zhengchun Zhou, Hongwei Liu and Maosheng Xiong. Their work appears in journals such as IEEE Transactions on Information Theory, Advances in Mathematics of Communications, Quantum Information Processing, Designs Codes and Cryptography and Cryptography and Communications.

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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