Kai Tang

6.2k citations
303 papers · 4.6k · h-index 38

Impact in

Papers in

Kai Tang

280 papers receiving 4.5k citations

Peers

Kai Tang
Comparison fields: 5 of 160
  • Computer Graphics and Computer-Aided Design 598
  • Industrial and Manufacturing Engineering 1.3k
  • Computational Mechanics 1.7k
  • Mechanical Engineering 2.1k
  • Automotive Engineering 594
Replace Kurt Maute with:
Kurt Maute United States
Xu Guo China
Weihong Zhang China
Francisco Chinesta France
H. Nguyen‐Xuan Vietnam
JungHyun Han South Korea
Tao Wang China
Boyan S. Lazarov Denmark
Tarek I. Zohdi United States
Gengdong Cheng China
Kai Tang relative to Kurt Maute United States Kurt Maute's profile →
Citations per field
00.5×4.9×
Kurt Maute · 1×
Citations per year

Countries citing papers authored by Kai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Tang Line = papers co-authored together Kai Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 303 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007110
2 201294
3 201089
4 200385
5 202281
6 201674
7 201971
8 201770
9 201670
10 202164
11 202061
12 201156
13 201955
14 202055
15 202354
16 199154
17 201654
18 199453
19 200552
20 201852

About Kai Tang

Kai Tang is a scholar working on Computational Mechanics, Mechanical Engineering, Industrial and Manufacturing Engineering, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 303 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (92 papers), Manufacturing Process and Optimization (64 papers), 3D Shape Modeling and Analysis (51 papers), Computational Geometry and Mesh Generation (43 papers), Advanced machining processes and optimization (36 papers), Computer Graphics and Visualization Techniques (29 papers), Additive Manufacturing and 3D Printing Technologies (22 papers) and Advanced Surface Polishing Techniques (17 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (598 citations), Industrial and Manufacturing Engineering (1.3k citations), Computational Mechanics (1.7k citations), Mechanical Engineering (2.1k citations) and Automotive Engineering (594 citations). Kai Tang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Charlie C. L. Wang, Ke Xu, Pengcheng Hu, Lufeng Chen, Zhaoyu Li, Yong‐Jin Liu, Ming Luo, Tae Ho Woo, Dinghua Zhang and Ajay Joneja. Their work appears in journals such as Computer-Aided Design, The International Journal of Advanced Manufacturing Technology, Robotics and Computer-Integrated Manufacturing, Journal of Manufacturing Science and Engineering and The Visual Computer.

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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