Do Sang Kim

1.7k total citations
106 papers, 1.3k citations indexed

About

Do Sang Kim is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Do Sang Kim has authored 106 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computational Theory and Mathematics, 69 papers in Numerical Analysis and 36 papers in Control and Systems Engineering. Recurrent topics in Do Sang Kim's work include Optimization and Variational Analysis (95 papers), Advanced Optimization Algorithms Research (69 papers) and Optimization and Mathematical Programming (33 papers). Do Sang Kim is often cited by papers focused on Optimization and Variational Analysis (95 papers), Advanced Optimization Algorithms Research (69 papers) and Optimization and Mathematical Programming (33 papers). Do Sang Kim collaborates with scholars based in South Korea, Vietnam and China. Do Sang Kim's co-authors include Thái Doãn Chương, Gue Myung Lee, Byung Soo Lee, Nguyen Dong Yen, Deepak Singh, Bilal Ahmad Dar, Siegfried Schaible, Jong Kyu Kim, Phạm Hữu Sách and Sung Jin Cho and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, European Journal of Operational Research and Fuzzy Sets and Systems.

In The Last Decade

Do Sang Kim

95 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do Sang Kim South Korea 20 1.1k 633 355 225 154 106 1.3k
Xiangkai Sun China 14 343 0.3× 175 0.3× 84 0.2× 35 0.2× 46 0.3× 45 523
Harish K. Pillai India 11 120 0.1× 59 0.1× 433 1.2× 67 0.3× 14 0.1× 62 577
Augustyn Markiewicz Poland 13 172 0.2× 60 0.1× 45 0.1× 15 0.1× 91 0.6× 58 506
Natalia Romero Spain 16 260 0.2× 465 0.7× 78 0.2× 10 0.0× 13 0.1× 66 817
Mausumi Sen India 14 74 0.1× 112 0.2× 8 0.0× 170 0.8× 186 1.2× 64 580
Jarkko Isotalo Finland 13 150 0.1× 37 0.1× 34 0.1× 7 0.0× 105 0.7× 31 579
Jack Carl Kiefer United States 10 103 0.1× 41 0.1× 18 0.1× 7 0.0× 23 0.1× 18 548
E. A. Nurminskii Russia 9 105 0.1× 92 0.1× 14 0.0× 7 0.0× 17 0.1× 51 308
Nebojša Ralević Serbia 10 38 0.0× 49 0.1× 13 0.0× 30 0.1× 38 0.2× 75 512
Andrej Pázman Slovakia 10 164 0.2× 7 0.0× 67 0.2× 8 0.0× 29 0.2× 54 436

Countries citing papers authored by Do Sang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do Sang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Sang Kim. 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 Do Sang Kim. The network helps show where Do Sang Kim may publish in the future.

Co-authorship network of co-authors of Do Sang Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do Sang Kim. A scholar is included among the top collaborators of Do Sang Kim 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 Do Sang Kim. Do Sang Kim 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.
Kim, Do Sang, et al.. (2025). Subdifferentials at infinity and applications in optimization. Mathematical Programming. 214(1-2). 409–440. 3 indexed citations
2.
Kim, Do Sang, et al.. (2025). Optimality Conditions at Infinity for Nonsmooth Minimax Programming Problems with Some Applications. Journal of Optimization Theory and Applications. 205(2).
3.
Singh, Deepak, Bilal Ahmad Dar, & Do Sang Kim. (2019). Sufficiency and duality in non-smooth interval valued programming problems. Journal of Industrial and Management Optimization. 15(2). 647–665. 19 indexed citations
4.
Kim, Do Sang, et al.. (2013). Nondifferentiable higher order symmetric duality in multiobjective programming involving cones (Nonlinear Analysis and Convex Analysis). Kyoto University Research Information Repository (Kyoto University). 1841. 26–34.
5.
Kim, Do Sang, et al.. (2013). A new approach to characterize the solution set of a pseudoconvex programming problem. Journal of Computational and Applied Mathematics. 261. 333–340. 19 indexed citations
6.
7.
Kim, Do Sang, et al.. (2009). DUALITY IN NONDIFFERENTIABLE MULTIOBJECTIVE FRACTIONAL PROGRAMS INVOLVING CONES. Taiwanese Journal of Mathematics. 13. 1811–1821. 2 indexed citations
8.
Kim, Do Sang, et al.. (2009). OPTIMALITY CONDITIONS AND DUALITY FOR A CLASS OF NONDIFFERENTIABLE MULTIOBJECTIVE PROGRAMMING PROBLEMS. Taiwanese Journal of Mathematics. 13(2B). 14 indexed citations
9.
Kim, Do Sang, et al.. (2008). NONDIFFERENTIABLE MULTIOBJECTIVE SECOND ORDER SYMMETRIC DUALITY WITH CONE CONSTRAINTS. Taiwanese Journal of Mathematics. 12(8). 1943–1964. 2 indexed citations
10.
Kim, Do Sang, et al.. (2008). SECOND ORDER SYMMETRIC DUALITY FOR NONDIFFERENTIABLE MULTIOBJECTIVE PROGRAMMING INVOLVING CONES. Taiwanese Journal of Mathematics. 12(6). 1347–1363. 1 indexed citations
11.
Kim, Do Sang. (2006). NONSMOOTH MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH GENERALIZED INVEXITY. Taiwanese Journal of Mathematics. 10(2). 467–478. 7 indexed citations
12.
Kim, Do Sang, et al.. (2004). Symmetric dual nonlinear programming and matrix game equivalence. Journal of Mathematical Analysis and Applications. 298(1). 1–13. 3 indexed citations
13.
Sách, Phạm Hữu, Gue Myung Lee, & Do Sang Kim. (2003). Infine Functions, Nonsmooth Alternative Theorems and Vector Optimization Problems. Journal of Global Optimization. 27(1). 51–81. 22 indexed citations
14.
Kim, Do Sang, et al.. (2003). Symmetric duality for invex multiobjective fractional variational problems. Journal of Mathematical Analysis and Applications. 289(2). 505–521. 6 indexed citations
15.
Kim, Do Sang, et al.. (2000). SYMMETRIC DUALITY FOR NONLINEAR MIXED INTEGER PROGRAMS WITH A SQUARE ROOT TERM. Journal of the Korean Mathematical Society. 37(6). 1021–1030. 1 indexed citations
16.
Kim, Do Sang, et al.. (1999). Generalized Symmetric Duality for Multiobjective Variational Problems with Invexity. Journal of Mathematical Analysis and Applications. 234(1). 147–164. 6 indexed citations
17.
Kim, Do Sang, et al.. (1998). Duality For Multiobjective Fractional Variational Problems With Generalized Invexity. Project Euclid (Cornell University). 9(1). 17–25. 3 indexed citations
18.
Kim, Do Sang, et al.. (1998). Symmetric Duality for Multiobjective Variational Problems with Invexity. Journal of Mathematical Analysis and Applications. 218(1). 34–48. 12 indexed citations
19.
Kim, Do Sang, et al.. (1995). Some existence theorems for generalized vector variational inequalities. Bulletin of the Korean Mathematical Society. 32(2). 343–348. 6 indexed citations
20.
Lee, Gue Myung, Do Sang Kim, Byung Soo Lee, & Sung Jin Cho. (1993). Generalized vector variational inequality and fuzzy extension. Applied Mathematics Letters. 6(6). 47–51. 52 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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