K.S. Tang

11.6k total citations · 3 hit papers
230 papers, 8.7k citations indexed

About

K.S. Tang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, K.S. Tang has authored 230 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Networks and Communications, 84 papers in Statistical and Nonlinear Physics and 74 papers in Artificial Intelligence. Recurrent topics in K.S. Tang's work include Chaos control and synchronization (63 papers), Nonlinear Dynamics and Pattern Formation (47 papers) and Evolutionary Algorithms and Applications (25 papers). K.S. Tang is often cited by papers focused on Chaos control and synchronization (63 papers), Nonlinear Dynamics and Pattern Formation (47 papers) and Evolutionary Algorithms and Applications (25 papers). K.S. Tang collaborates with scholars based in Hong Kong, China and United States. K.S. Tang's co-authors include K.F. Man, Sam Kwong, Guanrong Chen, Guo‐Ping Jiang, Yuxia Li, Qianhua He, H.S. Kwok, Qiang Jia, Simin Yu and G.Q. Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

K.S. Tang

222 papers receiving 8.2k citations

Hit Papers

Genetic algorithms: concepts and applications [in enginee... 1996 2026 2006 2016 1996 1996 2006 250 500 750

Peers

K.S. Tang
Comparison fields: 5 of 160
  • Statistical and Nonlinear Physics 2.6k
  • Computer Networks and Communications 2.5k
  • Artificial Intelligence 2.2k
  • Electrical and Electronic Engineering 1.6k
  • Computer Vision and Pattern Recognition 1.5k
Replace Henry Leung with:
Henry Leung Canada
Han‐Xiong Li Hong Kong
Bo Shen China
Vipin Kumar United States
K.F. Man Hong Kong
Chunguang Li China
Yixian Yang China
Fuad E. Alsaadi Saudi Arabia
Alejandro Ribeiro United States
Lin Xiao China
Henry Leung Canada View profile →
Citations per field, relative to K.S. Tang
K.S. Tang · 1×
Citations per year, relative to K.S. Tang
K.S. Tang · 1×

Countries citing papers authored by K.S. Tang

Since Specialization
Citations

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

Fields of papers citing papers by K.S. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.S. Tang. 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 K.S. Tang. The network helps show where K.S. Tang may publish in the future.

Co-authorship network of co-authors of K.S. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of K.S. Tang. A scholar is included among the top collaborators of K.S. Tang 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 K.S. Tang. K.S. Tang 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
# Work Indexed citations
1 1
2 3
3 10
4 20
5 39
6 21
7 37
8 11
9 13
10 6
11 9
12 56
13 25
14 40
15 7
16 10
17 20
18 56
19 4
20
Hyperchaos evolved from the generalized Lorenz equation: Research Articles
6

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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