C.‐S. Chien

620 total citations
62 papers, 506 citations indexed

About

C.‐S. Chien is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, C.‐S. Chien has authored 62 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atomic and Molecular Physics, and Optics, 30 papers in Computational Theory and Mathematics and 23 papers in Numerical Analysis. Recurrent topics in C.‐S. Chien's work include Cold Atom Physics and Bose-Einstein Condensates (24 papers), Matrix Theory and Algorithms (22 papers) and Numerical methods for differential equations (19 papers). C.‐S. Chien is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (24 papers), Matrix Theory and Algorithms (22 papers) and Numerical methods for differential equations (19 papers). C.‐S. Chien collaborates with scholars based in Taiwan, Germany and United States. C.‐S. Chien's co-authors include Eugene L. Allgower, Kurt Georg, Hung‐Tsai Huang, Shih‐Lin Chang, Zhanchao Li, Zhenyang Li, S.‐L. Chang, Biao Wu, I‐Liang Chern and Chun-Hua Tsai and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Computational Physics.

In The Last Decade

C.‐S. Chien

61 papers receiving 466 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C.‐S. Chien Taiwan 14 239 162 156 133 109 62 506
Naoufel Ben Abdallah France 16 248 1.0× 89 0.5× 70 0.4× 99 0.7× 105 1.0× 54 610
Carlos Zuppa Argentina 10 35 0.1× 74 0.5× 62 0.4× 136 1.0× 38 0.3× 22 334
Andreas Günther Germany 16 548 2.3× 125 0.8× 38 0.2× 168 1.3× 52 0.5× 50 761
J. W. Neuberger United States 12 41 0.2× 151 0.9× 90 0.6× 128 1.0× 60 0.6× 64 474
Anita Mayo United States 11 232 1.0× 99 0.6× 84 0.5× 452 3.4× 22 0.2× 16 718
Takemitsu Hasegawa Japan 14 221 0.9× 57 0.4× 195 1.3× 26 0.2× 12 0.1× 52 563
Winfried Auzinger Austria 14 70 0.3× 140 0.9× 410 2.6× 230 1.7× 102 0.9× 69 577
Xiang‐Gui Li China 12 142 0.6× 16 0.1× 132 0.8× 72 0.5× 129 1.2× 49 376
R. Kent Smith United States 10 108 0.5× 156 1.0× 85 0.5× 376 2.8× 30 0.3× 13 600
Yujin Guo China 17 206 0.9× 528 3.3× 74 0.5× 92 0.7× 137 1.3× 46 1.1k

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-authorship network of co-authors of C.‐S. Chien

This figure shows the co-authorship network connecting the top 25 collaborators of C.‐S. Chien. A scholar is included among the top collaborators of C.‐S. Chien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C.‐S. Chien. C.‐S. Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Yi-Hsin, et al.. (2022). Predicting adverse drug effects: A heterogeneous graph convolution network with a multi-layer perceptron approach. PLoS ONE. 17(12). e0266435–e0266435. 3 indexed citations
2.
Chien, C.‐S., et al.. (2021). A numerical scheme for the ground state of rotating spin-1 Bose–Einstein condensates. Scientific Reports. 11(1). 22801–22801. 1 indexed citations
3.
Chien, C.‐S., et al.. (2017). Continuation and stability analysis for Bloch waves of the Gross-Pitaevskii equation. Numerical Algorithms. 77(3). 709–726. 3 indexed citations
4.
Chien, C.‐S., et al.. (2013). A spectral-Galerkin continuation method for numerical solutions of the Gross–Pitaevskii equation. Journal of Computational and Applied Mathematics. 254. 2–16. 1 indexed citations
5.
Chien, C.‐S., et al.. (2010). A spectral-Galerkin continuation method using Chebyshev polynomials for the numerical solutions of the Gross–Pitaevskii equation. Journal of Computational and Applied Mathematics. 235(8). 2740–2757. 13 indexed citations
6.
Chien, C.‐S., et al.. (2006). An efficient algorithm for the Schrödinger–Poisson eigenvalue problem. Journal of Computational and Applied Mathematics. 205(1). 509–532. 9 indexed citations
7.
Chien, C.‐S., et al.. (2004). MULTIGRID-CONJUGATE GRADIENT TYPE METHODS FOR REACTION–DIFFUSION SYSTEMS. International Journal of Bifurcation and Chaos. 14(10). 3587–3605. 2 indexed citations
8.
Chien, C.‐S., et al.. (2001). Multiple bifurcations generated by mode interactions in a reaction–diffusion problem. Journal of Computational and Applied Mathematics. 130(1-2). 345–368. 2 indexed citations
9.
Chien, C.‐S., et al.. (2001). Tracing the buckling of a rectangular plate with the Block GMRES method. Journal of Computational and Applied Mathematics. 136(1-2). 199–218. 15 indexed citations
10.
Chien, C.‐S., et al.. (1999). Conjugate gradient type methods for semilinear elliptic problems with symmetry. Computers & Mathematics with Applications. 37(8). 3–22. 1 indexed citations
11.
Chien, C.‐S., et al.. (1999). Bifurcations of the von Kármán equations with Robin boundary conditions. Computers & Mathematics with Applications. 38(3-4). 85–112. 4 indexed citations
12.
Chien, C.‐S., et al.. (1998). Symmetry and scaling properties of the von Kármán equations. Zeitschrift für angewandte Mathematik und Physik. 49(5). 710–729. 3 indexed citations
13.
Chien, C.‐S., et al.. (1998). Symmetry and scaling properties of the von Kármán equations. Zeitschrift für angewandte Mathematik und Physik. 49(5). 710–710. 3 indexed citations
14.
Chien, C.‐S., et al.. (1998). Numerical Continuation at Double Bifurcation Points of a Reaction–Diffusion Problem. International Journal of Bifurcation and Chaos. 8(1). 117–139. 11 indexed citations
15.
Allgower, Eugene L., et al.. (1993). Bifurcations of corank greater than two. Computers & Mathematics with Applications. 25(7). 51–64. 5 indexed citations
16.
Allgower, Eugene L. & C.‐S. Chien. (1993). Continuation-minimization methods for stability problems. Computers & Mathematics with Applications. 25(7). 65–79. 5 indexed citations
17.
Allgower, Eugene L., et al.. (1991). Conjugate gradient methods for continuation problems. Journal of Computational and Applied Mathematics. 38(1-3). 1–16. 21 indexed citations
18.
Chien, C.‐S.. (1991). On some derivative-free continuation methods. 679–688. 3 indexed citations
19.
Allgower, Eugene L., C.‐S. Chien, & Kurt Georg. (1989). Large sparse continuation problems. Journal of Computational and Applied Mathematics. 26(1-2). 3–21. 17 indexed citations
20.
Knott, M., et al.. (1969). CAPABILITIES AND USES OF A GRAPHIC DISPLAY SYSTEM AS AN INTERFACE BETWEEN THE ZGS COMPUTER AND THE HUMAN OPERATOR.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

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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