Kai Long

1.4k citations
62 papers · 1.1k · h-index 20

Impact in

Papers in

Kai Long

58 papers receiving 1.1k citations

Peers

Kai Long
Comparison fields: 5 of 87
  • Civil and Structural Engineering 692
  • Mechanics of Materials 522
  • Computational Theory and Mathematics 265
  • Statistics, Probability and Uncertainty 76
  • Biomaterials 112
Replace Eduardo Alberto Fancello with:
Eduardo Alberto Fancello Brazil
Yuansheng Cheng China
Danielle Zeng United States
Xuefei Guan China
Peter D. Dunning United Kingdom
Octavio Andrés González‐Estrada Colombia
Emad Ghandourah Saudi Arabia
A. F. Saleeb United States
Murat Yaylacı Türkiye
Kai Long relative to Eduardo Alberto Fancello Brazil Eduardo Alberto Fancello's profile →
Citations per field
00.5×3.4×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201474
2 201864
3 201862
4 201360
5 201755
6 201652
7 202049
8 201746
9 201544
10 201839
11 201838
12 201437
13 201637
14 201836
15 202335
16 202428
17 202128
18 202323
19 202121
20 201721

About Kai Long

Kai Long is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (41 papers), Composite Structure Analysis and Optimization (30 papers), Composite Material Mechanics (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Corneal Surgery and Treatments (5 papers), Structural Load-Bearing Analysis (5 papers), Wind Energy Research and Development (4 papers) and Wave and Wind Energy Systems (4 papers). The work is most often cited by research in Civil and Structural Engineering (692 citations), Mechanics of Materials (522 citations), Computational Theory and Mathematics (265 citations), Statistics, Probability and Uncertainty (76 citations) and Biomaterials (112 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, Xiangyang Cui, Daicong Da, Sa Liu and Weichang Li. Their work appears in journals such as Engineering Optimization, Structural and Multidisciplinary Optimization, Computers & Structures, Ocean Engineering and Engineering Computations.

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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