Kai Long

831 citations
47 papers · 597 · h-index 16

Impact in

Papers in

Kai Long

44 papers receiving 585 citations

Peers

Kai Long
Comparison fields: 5 of 75
  • Civil and Structural Engineering 320
  • Mechanics of Materials 209
  • Computational Theory and Mathematics 96
  • Mechanical Engineering 145
  • Statistics, Probability and Uncertainty 27
Replace S. Nagendra with:
S. Nagendra United States
Christine V. Jutte United States
A.R. Vosoughi Iran
Prodyot K. Basu United States
Leonard Ziemiański Poland
Eric Swenson United States
Mehmet A. Akgün Türkiye
Tiantang Yu China
Jianming Yang Canada
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Citations per field
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S. Nagendra · 1×
Citations per year

Countries citing papers authored by Kai Long

Since Specialization
Citations

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

Fields of papers citing papers by Kai Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Long, 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 Long Line = papers co-authored together Kai Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202270
2 202149
3 201944
4 202342
5 202241
6 202332
7 202325
8 202225
9 202022
10 201921
11 202120
12 202318
13 202318
14 201816
15 202315
16 202215
17 202113
18 202112
19 202310
20
Design Optimization of EOT Crane Bridge
200810

About Kai Long

Kai Long is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics, Computational Mechanics and Control and Systems Engineering, having authored 47 papers that have together received 597 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (22 papers), Composite Structure Analysis and Optimization (20 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Structural Analysis and Optimization (4 papers), Advanced Materials and Mechanics (3 papers), Structural Load-Bearing Analysis (3 papers), Composite Material Mechanics (3 papers) and Laser Material Processing Techniques (3 papers). The work is most often cited by research in Civil and Structural Engineering (320 citations), Mechanics of Materials (209 citations), Computational Theory and Mathematics (96 citations), Mechanical Engineering (145 citations) and Statistics, Probability and Uncertainty (27 citations). Kai Long has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Jie Liu, Xuan Wang, Yi Min Xie, Guilin Wen, Changzheng Cheng, Zhengxing Zuo, Jinhua Zhang, Zeng Meng, Zunyi Duan and Tao Tao. Their work appears in journals such as Ocean Engineering, Computer Modeling in Engineering & Sciences, Composite Structures, International Journal for Numerical Methods in Engineering and Optical Engineering.

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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