Kok-Keong Tan

2.5k citations
90 papers · 1.9k indexed · h-index 26
Topics
Optimization and Variational Analysis (61 papers)Fixed Point Theorems Analysis (33 papers)Advanced Optimization Algorithms Research (21 papers)
Partner nations
CanadaChinaAustralia

In The Last Decade

Kok-Keong Tan

87 papers receiving 1.7k citations

Peers

Kok-Keong Tan
Comparison fields: 5 of 54
  • Computational Theory and Mathematics 1.7k
  • Geometry and Topology 1.0k
  • Numerical Analysis 585
  • Applied Mathematics 440
  • Economics and Econometrics 359
Replace Xie Ping Ding with:
Xie Ping Ding China
Sehie Park South Korea
Shih-sen Chang China
Juan Enrique Martínez-Legaz Spain
E Tarafdar Australia
Lai-Jiu Lin Taiwan
Stephen Simons United States
Charles Castaing France
G. Isac Canada
Qiji Jim Zhu United States
Kok-Keong Tan relative to Xie Ping Ding China Xie Ping Ding's profile →
Citations per field
00.5×1.5×1.9×
Xie Ping Ding · 1×
Citations per year

Countries citing papers authored by Kok-Keong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kok-Keong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kok-Keong Tan. 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 Kok-Keong Tan. The network helps show where Kok-Keong Tan may publish in the future.

Co-authorship network of co-authors of Kok-Keong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kok-Keong Tan. A scholar is included among the top collaborators of Kok-Keong Tan 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 Kok-Keong Tan. Kok-Keong Tan 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
#WorkIndexed citations
1 4
2 8
3 5
4 3
5 52
6 29
7 151
8 4
9 2
10 7
11 21
12 75
13 75
14 17
15 33
16 24
17 57
18 35
19 79
20 2

About Kok-Keong Tan

Kok-Keong Tan is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Numerical Analysis, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (61 papers), Fixed Point Theorems Analysis (33 papers) and Advanced Optimization Algorithms Research (21 papers). The work is most often cited by research in Geometry and Topology (1.0k citations), Numerical Analysis (585 citations) and Computational Theory and Mathematics (1.7k citations). Kok-Keong Tan has collaborated with scholars based in Canada, China and Australia. Frequent co-authors include Hong Kun Xu, Hong‐Kun Xu, Xian-Zhi Yuan, Won Kyu Kim, Mau-Hsiang Shih, Xie Ping Ding, Jian Yu, Pei-Kee Lin, Xian Wu and Ding Xie-ping. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Mathematical Analysis and Applications and Economics Letters.

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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