Chang-Pu Sun

1.4k citations
58 papers · 959 · h-index 13

Impact in

Papers in

Chang-Pu Sun

52 papers receiving 924 citations

Peers

Chang-Pu Sun
Comparison fields: 5 of 42
  • Algebra and Number Theory 214
  • Geometry and Topology 311
  • Statistical and Nonlinear Physics 388
  • Atomic and Molecular Physics, and Optics 624
  • Artificial Intelligence 391
Replace A. Jannussis with:
A. Jannussis Greece
W. Pusz Poland
H. D. Doebner Germany
A. Simoni Italy
Izumi Tsutsui Japan
Jakub Rembieliński Poland
Ryu Sasaki Japan
J. Beckers Belgium
G. P. Pronko Russia
G. S. Pogosyan Russia
Chang-Pu Sun relative to A. Jannussis Greece A. Jannussis's profile →
Citations per field
00.5×7.7×
A. Jannussis · 1×
Citations per year

Countries citing papers authored by Chang-Pu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Pu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Pu Sun. 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 Chang-Pu Sun. The network helps show where Chang-Pu Sun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989245
2 2005132
3 199492
4 199561
5 199347
6 198844
7 199331
8 199028
9 199020
10 201918
11 201616
12 201814
13 199012
14 198811
15 199111
16 201911
17 19929
18 19939
19 19959
20 20169

About Chang-Pu Sun

Chang-Pu Sun is a scholar working on Geometry and Topology, Atomic and Molecular Physics, and Optics, Algebra and Number Theory, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 58 papers that have together received 959 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (27 papers), Advanced Topics in Algebra (22 papers), Nonlinear Waves and Solitons (17 papers), Quantum Information and Cryptography (12 papers), Mechanical and Optical Resonators (7 papers), Quantum optics and atomic interactions (7 papers), Quantum, superfluid, helium dynamics (6 papers) and Quantum and electron transport phenomena (6 papers). The work is most often cited by research in Algebra and Number Theory (214 citations), Geometry and Topology (311 citations), Statistical and Nonlinear Physics (388 citations), Atomic and Molecular Physics, and Optics (624 citations) and Artificial Intelligence (391 citations). Chang-Pu Sun has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Hong‐Chen Fu, Li Hua Yu, Z. Song, Ying Li, Tao Shi, Mo‐Lin Ge, Lei Qiao, Xu‐Feng Liu, Kang Xue and Qing-yu Cai. Their work appears in journals such as Physics Letters A, Physical review. A, Physical Review A, Nuclear Physics B and Physical Review Applied.

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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