Kang Tai

5.5k total citations
176 papers, 4.2k citations indexed

About

Kang Tai is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Kang Tai has authored 176 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Civil and Structural Engineering, 42 papers in Mechanical Engineering and 28 papers in Computational Theory and Mathematics. Recurrent topics in Kang Tai's work include Topology Optimization in Engineering (30 papers), Advanced Multi-Objective Optimization Algorithms (28 papers) and Metaheuristic Optimization Algorithms Research (17 papers). Kang Tai is often cited by papers focused on Topology Optimization in Engineering (30 papers), Advanced Multi-Objective Optimization Algorithms (28 papers) and Metaheuristic Optimization Algorithms Research (17 papers). Kang Tai collaborates with scholars based in Singapore, China and India. Kang Tai's co-authors include Akhil Garg, Tapabrata Ray, S.Y. Wang, V. Vijayaraghavan, Anand J. Kulkarni, C.H. Wong, Ankit Garg, C. Y. Teresa Lam, M. M. Savalani and M. Y. Wang and has published in prestigious journals such as Applied Physics Letters, Gastroenterology and Journal of Applied Physics.

In The Last Decade

Kang Tai

170 papers receiving 4.0k citations

Peers

Kang Tai
Comparison fields: 5 of 183
  • Civil and Structural Engineering 1.2k
  • Mechanical Engineering 909
  • Computational Theory and Mathematics 889
  • Artificial Intelligence 724
  • Mechanics of Materials 541
Replace Zhen Hu with:
Zhen Hu United States
Singiresu S. Rao United States
Xueguan Song China
Nam Ho Kim United States
Vivek Patel India
Pingfeng Wang United States
Ping Zhu China
Francisco Chinesta France
Ikjin Lee South Korea
Zhen Hu United States View profile →
Citations per field, relative to Kang Tai
Kang Tai · 1×
Citations per year, relative to Kang Tai
Kang Tai · 1×

Countries citing papers authored by Kang Tai

Since Specialization
Citations

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

Fields of papers citing papers by Kang Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Tai. A scholar is included among the top collaborators of Kang Tai 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 Kang Tai. Kang Tai 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 3
2 9
3 0
4 7
5 12
6 32
7 3
8 12
9 1
10
Structural optimization and parametric study of offshore wind turbine jacket substructure
9
11
Comparison of regression analysis, Artificial Neural Network and genetic programming in Handling the multicollinearity problem
35
12 54
13 115
14 56
15 65
16 63
17 27
18 37
19 49
20 0

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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2026