Lishan Kang

1.3k total citations
75 papers, 610 citations indexed

About

Lishan Kang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Lishan Kang has authored 75 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 32 papers in Computational Theory and Mathematics and 9 papers in Control and Systems Engineering. Recurrent topics in Lishan Kang's work include Metaheuristic Optimization Algorithms Research (45 papers), Evolutionary Algorithms and Applications (37 papers) and Advanced Multi-Objective Optimization Algorithms (26 papers). Lishan Kang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (45 papers), Evolutionary Algorithms and Applications (37 papers) and Advanced Multi-Objective Optimization Algorithms (26 papers). Lishan Kang collaborates with scholars based in China, United States and United Kingdom. Lishan Kang's co-authors include Hongqing Cao, Jingxian Yu, Jun He, Yuping Chen, Sanyou Zeng, Lixin Ding, Aimin Zhou, Xuesong Yan, Zhijian Wu and Xuejie Zhang and has published in prestigious journals such as Cancer Research, IEEE Internet of Things Journal and Journal of Electroanalytical Chemistry.

In The Last Decade

Lishan Kang

68 papers receiving 570 citations

Peers

Lishan Kang

CTM

CSE

EEE

IME

Deyu Tang China

Ioannis Giagkiozis United Kingdom

Weijie Zheng China

Michal Pluháček Czechia

Dongli Jia China

Dinabandhu Bhandari India

Yuval Davidor Israel

Claudio Moraga Germany

S. Fazzino Italy

Deyu Tang China

Lishan Kang

397 ×1.0

152 ×0.9

CTM

46 ×0.6

CSE

78 ×1.2

EEE

30 ×0.6

IME

Citations per year, relative to Lishan Kang Lishan Kang (= 1×) peers Deyu Tang

Countries citing papers authored by Lishan Kang

Since Specialization

Citations

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

Fields of papers citing papers by Lishan Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lishan Kang. 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 Lishan Kang. The network helps show where Lishan Kang may publish in the future.

Co-authorship network of co-authors of Lishan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Lishan Kang. A scholar is included among the top collaborators of Lishan Kang 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 Lishan Kang. Lishan Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kang, Zhuo, et al.. (2008). Convergence properties of E-optimality algorithms for Many objective Optimization Problems. 472–477. 2 indexed citations

Li, Kangshun, et al.. (2006). A particle gradient evolutionary algorithm for solving multi-objective problems. Applied Mathematics and Computation. 187(2). 1173–1186. 3 indexed citations

Yan, Xuesong, Hui Li, Zhihua Cai, & Lishan Kang. (2005). A fast evolutionary algorithm for combinatorial optimization problems. 3288–3292 Vol. 6. 13 indexed citations

Zou, Xiufen & Lishan Kang. (2005). Fast annealing genetic algorithm for multi-objective optimization problems. International Journal of Computer Mathematics. 82(8). 931–940. 3 indexed citations

Yan, Xuesong, et al.. (2005). An approach to dynamic traveling salesman problem. 4. 2418–2420. 10 indexed citations

Ding, Lixin, et al.. (2004). A new multiobjective evolutionary algorithm: OMOEA. 2. 898–905. 2 indexed citations

Cao, Hongqing, Lishan Kang, Yuping Chen, & Tao Guo. (2003). The dynamic evolutionary modeling of HODEs for time series prediction. Computers & Mathematics with Applications. 46(8-9). 1397–1411. 5 indexed citations

Zou, Xiufen, Yuanxiang Li, Lishan Kang, & Zhijian Wu. (2003). An efficient dynamical evolutionary algorithm for global optimization. International Journal of Computer Mathematics. 80(11). 1429–1436. 1 indexed citations

Kang, Lishan, et al.. (2003). An adaptive neighborhood-based multi-parent crossover operator for real-coded genetic algorithms. 14–21 Vol.1. 4 indexed citations

10.

Liu, Pu‐Kun, Lishan Kang, Hugo de Garis, & Yuping Chen. (2002). An asynchronous parallel evolutionary algorithm (APEA) for solving complex non-linear real world optimization problems. Neural, Parallel & Scientific Computations archive. 10(2). 179–188. 1 indexed citations

11.

Cao, Hongqing, Lishan Kang, Tao Guo, Yuping Chen, & Hugo de Garis. (2000). A two-level hybrid evolutionary algorithm for modeling one-dimensional dynamic systems by higher-order ODE models. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 30(2). 351–357. 10 indexed citations

12.

He, Jun & Lishan Kang. (1999). On the convergence rates of genetic algorithms. Theoretical Computer Science. 229(1-2). 23–39. 64 indexed citations

13.

Kang, Lishan, et al.. (1999). Genetic Programming with simple loops. Journal of Computer Science and Technology. 14(4). 429–433. 3 indexed citations

14.

Cao, Hongqing, Lishan Kang, & Yuping Chen. (1999). Evolutionary modeling of ordinary differential equations for dynamic systems. Genetic and Evolutionary Computation Conference. 959–965. 3 indexed citations

15.

Cao, Hongqing, Lishan Kang, Zbigniew Michalewicz, & Yuping Chen. (1998). A hybrid evolutionary modeling algorithm for system of ordinary differential equations. Neural, Parallel & Scientific Computations archive. 6(2). 171–188. 3 indexed citations

16.

Sun, Hao, et al.. (1996). The applications of evolutionary computation in software reliability. Wuhan University Journal of Natural Sciences. 1(3-4). 645–650. 2 indexed citations

17.

He, Jun, Lishan Kang, & Yongjun Chen. (1995). CONVERGENCE OF GENETIC EVOLUTION ALGORITHMS FOR OPTIMIZATION. Parallel algorithms and applications. 5(1-2). 37–56. 4 indexed citations

18.

Jun, He & Lishan Kang. (1993). Parallel multigrid algorithms based on wavelet multiresolution approximations.. 1. 421–430. 1 indexed citations

19.

Li, Yuanxiang, Lishan Kang, & Zhijian Wu. (1993). Massively parallel algorithm I: A new class of lattice gas methods.. 1. 43–58. 1 indexed citations

20.

Kang, Lishan, et al.. (1990). DOMAIN DECOMPOSITION METHODS FOR SOLVING PDE's ON MULTI-PROCESSORS. Acta Mathematica Scientia. 10(4). 459–470.

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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