Kai Long

1.5k citations
67 papers · 1.2k · h-index 21

Impact in

Papers in

Kai Long

61 papers receiving 1.2k citations

Peers

Kai Long
Comparison fields: 5 of 90
  • Civil and Structural Engineering 730
  • Mechanics of Materials 536
  • Computational Theory and Mathematics 270
  • Statistics, Probability and Uncertainty 79
  • Biomaterials 120
Replace Eduardo Alberto Fancello with:
Eduardo Alberto Fancello Brazil
Ahmad Raeisi Najafi United States
Danielle Zeng United States
Octavio Andrés González‐Estrada Colombia
Emad Ismat Ghandourah Saudi Arabia
Jiaying Gao United States
Nico P. van Dijk Sweden
Murat Yaylacı Türkiye
Atef F. Saleeb United States
Kai Long relative to Eduardo Alberto Fancello Brazil Eduardo Alberto Fancello's profile →
Citations per field
00.5×2×3.1×
Eduardo Alberto Fancello · 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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201864
3 201364
4 201864
5 201756
6 201655
7 202052
8 201749
9 201545
10 201841
11 201440
12 201839
13 202338
14 201638
15 201836
16 202434
17 202129
18 202325
19 202122
20 202421

About Kai Long

Kai Long is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics, Ocean Engineering and Statistics, Probability and Uncertainty, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (42 papers), Composite Structure Analysis and Optimization (30 papers), Composite Material Mechanics (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Wind Energy Research and Development (5 papers), Structural Load-Bearing Analysis (5 papers), Wave and Wind Energy Systems (5 papers) and Corneal Surgery and Treatments (5 papers). The work is most often cited by research in Civil and Structural Engineering (730 citations), Mechanics of Materials (536 citations), Computational Theory and Mathematics (270 citations), Statistics, Probability and Uncertainty (79 citations) and Biomaterials (120 citations). Kai Long has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xuan Wang, Xianguang Gu, Li Ren, Yingjun Wang, Lin Wang, Hongliang Liu, Weichang Li, Xiangyang Cui, Daicong Da and Sa Liu. Their work appears in journals such as Engineering Optimization, Structural and Multidisciplinary Optimization, Ocean Engineering, Engineering Computations and Computers & Structures.

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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