C.‐S. Chien

625 citations
65 papers · 538 · h-index 14

Impact in

Papers in

C.‐S. Chien

63 papers receiving 496 citations

Peers

C.‐S. Chien
Comparison fields: 5 of 45
  • Numerical Analysis 171
  • Computational Theory and Mathematics 173
  • Statistical and Nonlinear Physics 112
  • Atomic and Molecular Physics, and Optics 244
  • Computational Mechanics 149
Replace Carlos Zuppa with:
Carlos Zuppa Argentina
Naoufel Ben Abdallah France
Paola Pietra Italy
Thomas Kerkhoven United States
Hehu Xie China
Heinrich Begehr Germany
Joris Van Deun Belgium
Petru Mironescu France
R. Kent Smith United States
Enza Orlandi Italy
C.‐S. Chien relative to Carlos Zuppa Argentina Carlos Zuppa's profile →
Citations per field
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Carlos Zuppa · 1×
Citations per year

Countries citing papers authored by C.‐S. Chien

Since Specialization
Citations

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

Fields of papers citing papers by C.‐S. Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.‐S. Chien. 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 C.‐S. Chien. The network helps show where C.‐S. Chien may publish in the future.

Co-authors

The 17 scholars most cited alongside C.‐S. Chien, 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 C.‐S. Chien Line = papers co-authored together C.‐S. Chien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200638
2 198633
3 200729
4 200726
5 199122
6 198920
7 200720
8 200020
9 201218
10 200718
11 201216
12 200116
13 200313
14 201013
15 199713
16 199713
17 198913
18 199811
19 200611
20 200210

About C.‐S. Chien

C.‐S. Chien is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Numerical Analysis, Computational Mechanics and Statistical and Nonlinear Physics, having authored 65 papers that have together received 538 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (24 papers), Matrix Theory and Algorithms (23 papers), Advanced Numerical Methods in Computational Mathematics (21 papers), Numerical methods for differential equations (20 papers), Nonlinear Photonic Systems (9 papers), Quantum, superfluid, helium dynamics (9 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Strong Light-Matter Interactions (7 papers). The work is most often cited by research in Numerical Analysis (171 citations), Computational Theory and Mathematics (173 citations), Statistical and Nonlinear Physics (112 citations), Atomic and Molecular Physics, and Optics (244 citations) and Computational Mechanics (149 citations). C.‐S. Chien has collaborated with scholars based in Taiwan, Germany and United States. Frequent co-authors include Eugene L. Allgower, Kurt Georg, Hung‐Tsai Huang, Shih‐Lin Chang, Zhenyang Li, Zhanchao Li, S.‐L. Chang, Biao Wu, Yi-Hsin Chen and Chun-Hua Tsai. Their work appears in journals such as Journal of Computational and Applied Mathematics, International Journal of Bifurcation and Chaos, Computers & Mathematics with Applications, Computer Physics Communications and SIAM Journal on Scientific Computing.

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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