Shuanping Du

26 papers receiving 442 citations

Peers

Shuanping Du
Comparison fields: 5 of 62
  • Algebra and Number Theory 147
  • Geometry and Topology 94
  • Mathematical Physics 87
  • Artificial Intelligence 231
  • Atomic and Molecular Physics, and Optics 223
Replace Zhaofang Bai with:
Zhaofang Bai China
Stan Gudder United States
Shûichirô Maeda Japan
Hans Havlicek Austria
Edita Pelantová Czechia
Christopher J. Mulvey United Kingdom
Pedro Resende Portugal
Н. В. Цилевич Russia
Samuel S. Holland United States
Sho Matsumoto Japan
Shuanping Du relative to Zhaofang Bai China Zhaofang Bai's profile →
Citations per field
00.5×1.5×
Zhaofang Bai · 1×
Citations per year

Countries citing papers authored by Shuanping Du

Since Specialization
Citations

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

Fields of papers citing papers by Shuanping Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Shuanping Du, 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 Shuanping Du Line = papers co-authored together Shuanping Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 201557
3 200748
4 201135
5 201130
6 200824
7 200315
8 201914
9 200812
10 201512
11 200810
12 201510
13 20078
14 20038
15 20147
16 20255
17 20094
18 20224
19 20233
20 20063

About Shuanping Du

Shuanping Du is a scholar working on Algebra and Number Theory, Mathematical Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Geometry and Topology, having authored 30 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (15 papers), Quantum Information and Cryptography (12 papers), Quantum Mechanics and Applications (11 papers), Quantum Computing Algorithms and Architecture (9 papers), Advanced Operator Algebra Research (9 papers), Algebraic structures and combinatorial models (9 papers), Holomorphic and Operator Theory (5 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Algebra and Number Theory (147 citations), Geometry and Topology (94 citations), Mathematical Physics (87 citations), Artificial Intelligence (231 citations) and Atomic and Molecular Physics, and Optics (223 citations). Shuanping Du has collaborated with scholars based in China and Slovenia. Frequent co-authors include Zhaofang Bai, Yu Guo, Jinchuan Hou, Xiaofei Qi, Heping Zeng, Zichun Hua, Dongfeng Chen, Jianhong Zhou, Грегор Долинар and Shengjun Wu. Their work appears in journals such as Linear Algebra and its Applications, Physical review. A, Journal of Mathematical Analysis and Applications, Journal of Physics A Mathematical and Theoretical and Quantum Information and Computation.

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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