Chun‐Kong Law

793 total citations
36 papers, 553 citations indexed

About

Chun‐Kong Law is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Chun‐Kong Law has authored 36 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mathematical Physics, 17 papers in Applied Mathematics and 15 papers in Computational Theory and Mathematics. Recurrent topics in Chun‐Kong Law's work include Spectral Theory in Mathematical Physics (22 papers), Numerical methods in inverse problems (13 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Chun‐Kong Law is often cited by papers focused on Spectral Theory in Mathematical Physics (22 papers), Numerical methods in inverse problems (13 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Chun‐Kong Law collaborates with scholars based in Taiwan, United States and Hong Kong. Chun‐Kong Law's co-authors include Chao-Liang Shen, J. B. McLeod, Vyacheslav Pivovarchik, Xinfu Chen, A. V. Kitaev, Eiji Yanagida, Peter A. Clarkson, Hung‐Jen Wang, Andrew P. Bassom and Hua‐Huai Chern and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Archive for Rational Mechanics and Analysis.

In The Last Decade

Chun‐Kong Law

33 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Kong Law Taiwan 14 459 255 218 80 54 36 553
Chao-Liang Shen Taiwan 11 401 0.9× 209 0.8× 122 0.6× 46 0.6× 73 1.4× 23 465
Aleksey Kostenko Austria 14 417 0.9× 189 0.7× 153 0.7× 310 3.9× 100 1.9× 43 582
Leonid Golinskiĭ Ukraine 11 215 0.5× 173 0.7× 277 1.3× 49 0.6× 49 0.9× 48 395
Margherita Nolasco Italy 12 335 0.7× 207 0.8× 371 1.7× 97 1.2× 80 1.5× 25 514
Michael Demuth Germany 11 276 0.6× 148 0.6× 124 0.6× 56 0.7× 25 0.5× 48 345
M. Vanlessen Belgium 6 146 0.3× 64 0.3× 254 1.2× 84 1.1× 52 1.0× 7 397
Torsten Ehrhardt Germany 11 196 0.4× 118 0.5× 212 1.0× 23 0.3× 36 0.7× 48 361
J. Dombrowski United States 12 183 0.4× 151 0.6× 215 1.0× 42 0.5× 36 0.7× 19 300
Alexander Sakhnovich Austria 15 354 0.8× 105 0.4× 114 0.5× 473 5.9× 55 1.0× 73 657
Lorenzo Pisani Italy 10 241 0.5× 357 1.4× 442 2.0× 37 0.5× 11 0.2× 21 493

Countries citing papers authored by Chun‐Kong Law

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kong Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Kong Law. 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 Chun‐Kong Law. The network helps show where Chun‐Kong Law may publish in the future.

Co-authorship network of co-authors of Chun‐Kong Law

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Kong Law. A scholar is included among the top collaborators of Chun‐Kong Law 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 Chun‐Kong Law. Chun‐Kong Law 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.
Clarkson, Peter A., et al.. (2023). A Constructive Proof for the Umemura Polynomials of the Third Painlevé Equation. Symmetry Integrability and Geometry Methods and Applications. 1 indexed citations
2.
Law, Chun‐Kong, et al.. (2023). Regularization operators versus regularization strategies. Journal of Inverse and Ill-Posed Problems. 0(0). 1 indexed citations
3.
Law, Chun‐Kong, et al.. (2019). Dispersion relations of periodic quantum graphs associated with Archimedean tilings (I). Journal of Physics A Mathematical and Theoretical. 52(16). 165201–165201. 5 indexed citations
4.
Law, Chun‐Kong, et al.. (2015). AN INVERSE NODAL PROBLEM AND AMBARZUMYAN PROBLEM FOR THE PERIODIC $p$-LAPLACIAN OPERATOR WITH INTEGRABLE POTENTIALS. Taiwanese Journal of Mathematics. 19(4). 4 indexed citations
5.
Chen, Xinfu, et al.. (2012). A Tikhonov regularization for the inverse nodal problem for p-Laplacian. Journal of Mathematical Analysis and Applications. 395(1). 230–240. 5 indexed citations
6.
Law, Chun‐Kong, et al.. (2012). Optimal upper bounds for the eigenvalue ratios of one-dimensional $p$-Laplacian. Proceedings of the American Mathematical Society. 141(3). 883–893.
7.
Chen, Xinfu, et al.. (2011). Reconstructing potentials from zeros of one eigenfunction. Transactions of the American Mathematical Society. 363(9). 4831–4851. 20 indexed citations
8.
Law, Chun‐Kong, et al.. (2010). The dual eigenvalue problems for the Sturm–Liouville system. Computers & Mathematics with Applications. 60(9). 2556–2563. 3 indexed citations
9.
Law, Chun‐Kong, et al.. (2009). The inverse nodal problem and the Ambarzumyan problem for the p-Laplacian. Proceedings of the Royal Society of Edinburgh Section A Mathematics. 139(6). 1261–1273. 22 indexed citations
10.
Law, Chun‐Kong, et al.. (2006). On the quasi-nodal map for the Sturm–Liouville problem. Proceedings of the Royal Society of Edinburgh Section A Mathematics. 136(1). 71–86. 13 indexed citations
11.
Chen, Chao-Nien, et al.. (2006). Integrability of rotationally symmetric n-harmonic maps. Journal of Mathematical Analysis and Applications. 327(2). 869–877. 1 indexed citations
12.
Shieh, Chung‐Tsun, et al.. (2004). A vectorial inverse nodal problem. Proceedings of the American Mathematical Society. 133(5). 1475–1484. 4 indexed citations
13.
Law, Chun‐Kong, et al.. (2003). An initial value approach to rotationally symmetric harmonic maps. Journal of Mathematical Analysis and Applications. 289(1). 1–13. 8 indexed citations
14.
Law, Chun‐Kong, et al.. (2002). $L^1$ convergence of the reconstruction formula for the potential function. Proceedings of the American Mathematical Society. 130(8). 2319–2324. 33 indexed citations
15.
Chern, Hua‐Huai, Chun‐Kong Law, & Hung‐Jen Wang. (2001). Extension of Ambarzumyan's Theorem to General Boundary Conditions. Journal of Mathematical Analysis and Applications. 263(2). 333–342. 17 indexed citations
16.
Law, Chun‐Kong, et al.. (2001). On the well-posedness of the inverse nodal problem. Inverse Problems. 17(5). 1493–1512. 47 indexed citations
17.
Law, Chun‐Kong, et al.. (2000). Remarks on a New Inverse Nodal Problem. Journal of Mathematical Analysis and Applications. 248(1). 145–155. 74 indexed citations
18.
Bassom, Andrew P., Peter A. Clarkson, Chun‐Kong Law, & J. B. McLeod. (1998). Application of Uniform Asymptotics to the Second Painlevé Transcendent. Archive for Rational Mechanics and Analysis. 143(3). 241–271. 24 indexed citations
19.
Law, Chun‐Kong, et al.. (1998). Reconstructing the potential function and its derivatives using nodal data. Inverse Problems. 14(3). 779–780. 5 indexed citations
20.
Law, Chun‐Kong, et al.. (1998). Entire solutions of quasilinear differential equations corresponding to p-harmonic maps. Nonlinear Analysis. 31(5-6). 701–715. 7 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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Rankless by CCL
2026