Ri‐Gui Zhou

4.7k citations
212 papers · 3.5k · h-index 33

Impact in

Papers in

Ri‐Gui Zhou

199 papers receiving 3.3k citations

Peers

Ri‐Gui Zhou
Comparison fields: 5 of 116
  • Artificial Intelligence 2.7k
  • Computational Theory and Mathematics 954
  • Computer Vision and Pattern Recognition 857
  • Atomic and Molecular Physics, and Optics 851
  • Media Technology 125
Replace Xiamu Niu with:
Xiamu Niu China
Nanrun Zhou China
David L. Neuhoff United States
Li-Hua Gong China
Jawad A. Salehi Iran
Si Zhang United States
Yongli Zhao China
Weiqiang Liu China
Miao Zhang China
Hayden Kwok‐Hay So Hong Kong
Ri‐Gui Zhou relative to Xiamu Niu China Xiamu Niu's profile →
Citations per field
00.5×5.5×
Xiamu Niu · 1×
Citations per year

Countries citing papers authored by Ri‐Gui Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ri‐Gui Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ri‐Gui Zhou. 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 Ri‐Gui Zhou. The network helps show where Ri‐Gui Zhou may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020152
2 2012146
3 2013124
4 2013122
5 201597
6 201494
7 201777
8 201970
9 201766
10 201658
11 202057
12 201254
13 202053
14 201850
15 201950
16 200750
17 201748
18 201945
19 201843
20 202143

About Ri‐Gui Zhou

Ri‐Gui Zhou is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Media Technology, having authored 212 papers that have together received 3.5k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (140 papers), Quantum Information and Cryptography (120 papers), Quantum-Dot Cellular Automata (51 papers), Quantum Mechanics and Applications (50 papers), Face and Expression Recognition (13 papers), Chaos-based Image/Signal Encryption (12 papers), Computability, Logic, AI Algorithms (12 papers) and Text and Document Classification Technologies (9 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computational Theory and Mathematics (954 citations), Computer Vision and Pattern Recognition (857 citations), Atomic and Molecular Physics, and Optics (851 citations) and Media Technology (125 citations). Ri‐Gui Zhou has collaborated with scholars based in China, Macao and United States. Frequent co-authors include WenWen Hu, Ping Fan, Jia Luo, Hou Ian, Yaochong Li, Hai-Sheng Li, Gaofeng Luo, Ruiqing Xu, Song Lan and Qingxin Zhu. Their work appears in journals such as Quantum Information Processing, IEEE Access, International Journal of Theoretical Physics, Information Sciences and Scientific Reports.

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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