Wang Ke-lin

587 total citations · 2 hit papers
19 papers, 500 citations indexed

About

Wang Ke-lin is a scholar working on Environmental Engineering, Mechanical Engineering and Ecology. According to data from OpenAlex, Wang Ke-lin has authored 19 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 6 papers in Mechanical Engineering and 5 papers in Ecology. Recurrent topics in Wang Ke-lin's work include Wind and Air Flow Studies (5 papers), Structural Integrity and Reliability Analysis (5 papers) and Plant Ecology and Soil Science (4 papers). Wang Ke-lin is often cited by papers focused on Wind and Air Flow Studies (5 papers), Structural Integrity and Reliability Analysis (5 papers) and Plant Ecology and Soil Science (4 papers). Wang Ke-lin collaborates with scholars based in China, Russia and Norway. Wang Ke-lin's co-authors include Oleg Gaidai, Fang Wang, Vladimir Yakimov, Xiaosen Xu, Yihan Xing, Zirui Liu, Yu Cao, Yan Zhu, Ping Yan and Jiayao Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Frontiers in Marine Science.

In The Last Decade

Wang Ke-lin

17 papers receiving 487 citations

Hit Papers

Bivariate reliability analysis for floating wind turbines 2024 2026 2025 2024 2024 10 20 30 40 50

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wang Ke-lin China 11 195 140 110 103 87 19 500
Anders Smærup Olsen Denmark 10 58 0.3× 115 0.8× 58 0.5× 103 1.0× 30 0.3× 33 408
Samara M. Haver United States 12 71 0.4× 128 0.9× 63 0.6× 120 1.2× 115 1.3× 37 622
Bruce Colbourne Canada 15 60 0.3× 207 1.5× 132 1.2× 28 0.3× 44 0.5× 74 741
Shunquan Qin China 19 104 0.5× 103 0.7× 556 5.1× 52 0.5× 28 0.3× 34 791
Peter S. Tromans Netherlands 11 86 0.4× 234 1.7× 93 0.8× 39 0.4× 55 0.6× 31 564
Giovanni Malara Italy 20 63 0.3× 627 4.5× 149 1.4× 63 0.6× 104 1.2× 63 1.1k
Michael R. Motley United States 19 93 0.5× 164 1.2× 308 2.8× 56 0.5× 38 0.4× 52 889
Jean-Marie Buchlin Belgium 13 168 0.9× 49 0.3× 34 0.3× 49 0.5× 23 0.3× 46 521
Peter S. Jackson United States 9 99 0.5× 85 0.6× 35 0.3× 243 2.4× 50 0.6× 23 689
Mohammad Ali Goudarzi Iran 18 87 0.4× 159 1.1× 238 2.2× 66 0.6× 12 0.1× 50 960

Countries citing papers authored by Wang Ke-lin

Since Specialization
Citations

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

Fields of papers citing papers by Wang Ke-lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang Ke-lin. 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 Wang Ke-lin. The network helps show where Wang Ke-lin may publish in the future.

Co-authorship network of co-authors of Wang Ke-lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Ke-lin. A scholar is included among the top collaborators of Wang Ke-lin 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 Wang Ke-lin. Wang Ke-lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Gaidai, Oleg, Yu Cao, Yan Zhu, et al.. (2024). Limit hypersurface state of the art Gaidai multivariate risk evaluation approach for offshore Jacket. Mechanics Based Design of Structures and Machines. 53(4). 3143–3158. 35 indexed citations
2.
Liu, Zirui, et al.. (2024). Room-Temperature Creep Deformation of a Pressure-Resistant Cylindrical Structure Made of Dissimilar Titanium Alloys. Journal of Marine Science and Engineering. 12(8). 1419–1419. 3 indexed citations
3.
Gaidai, Oleg, Vladimir Yakimov, Fang Wang, Jiayao Sun, & Wang Ke-lin. (2024). Bivariate reliability analysis for floating wind turbines. International Journal of Low-Carbon Technologies. 19. 63–72. 56 indexed citations breakdown →
4.
Gaidai, Oleg, Jinlu Sheng, Yu Cao, et al.. (2024). Limit hypersurface state of art Gaidai reliability approach for oil tankers Arctic operational safety. Journal of Ocean Engineering and Marine Energy. 10(2). 351–364. 50 indexed citations breakdown →
5.
Yakimov, Vladimir, Oleg Gaidai, Fang Wang, & Wang Ke-lin. (2023). Arctic naval launch and recovery operations, under ice impact interactions. SHILAP Revista de lepidopterología. 15. 100146–100146. 53 indexed citations
6.
Ke-lin, Wang, et al.. (2023). Artificial Neural Network-Based Prediction of the Extreme Response of Floating Offshore Wind Turbines under Operating Conditions. Journal of Marine Science and Engineering. 11(9). 1807–1807. 8 indexed citations
7.
Gaidai, Oleg, Vladimir Yakimov, Fang Wang, et al.. (2023). Lifetime assessment for container vessels. Applied Ocean Research. 139. 103708–103708. 62 indexed citations
8.
Yakimov, Vladimir, et al.. (2023). Fatigue assessment for FPSO hawsers. International Journal of Naval Architecture and Ocean Engineering. 15. 100540–100540. 56 indexed citations
9.
Gaidai, Oleg, Wang Ke-lin, Fang Wang, Yihan Xing, & Ping Yan. (2022). Cargo ship aft panel stresses prediction by deconvolution. Marine Structures. 88. 103359–103359. 55 indexed citations
10.
Xu, Xiaosen, et al.. (2022). A novel multi-dimensional reliability approach for floating wind turbines under power production conditions. Frontiers in Marine Science. 9. 56 indexed citations
11.
Ke-lin, Wang, et al.. (2010). Spatial pattern of forest communities and environmental interpretation in Mulun National Nature Reserve, karst cluster-peak depression region.. Chinese Journal of Plant Ecology. 34(3). 298–308. 10 indexed citations
12.
Li, Hao, et al.. (2010). Study on sediment deposition in a peak-cluster depression catchment using ~(137)Cs technique in Karst hilly area,NW Guangxi. Journal of Sediment Research. 1 indexed citations
13.
Song, Tongqing, et al.. (2010). Community composition and biodiversity characteristics of forests in Karst cluster-peak-depression region. Biodiversity Science. 18(4). 355–355. 13 indexed citations
14.
Ke-lin, Wang. (2008). Effects by different human disturbances on hassock community soil seed bank in northwest Guangxi karst region. Zhongguo yanrong. 2 indexed citations
15.
Ke-lin, Wang, et al.. (2008). Ecological Process and Vegetation Restoration in Karst Region of southwest China. 29(6). 641–645. 9 indexed citations
16.
Kong, Xiangli, et al.. (2007). A GIS based analysis of landscape spatial patterns and land use in Karst regions - a case study of Hechi City, Guangxi Zhuang Autonomous Region. 15(4). 134–138.
17.
Ke-lin, Wang, et al.. (2005). Analysis of Fluctuation of Inundated Area of Flood Disaster at Multi-time Scale Based on Empirical Mode Decomposition (EMD) Method in China. Agricultural Meteorology. 1 indexed citations
18.
Ying, Xiong, et al.. (2004). Application of ecological footprint analysis method in measuring sustainable development-with Hunan Province as an example. Changjiang liuyu ziyuan yu huanjing. 13(4). 322–327.
19.
Ke-lin, Wang, Earl E. Davis, & Garth van der Kamp. (1998). Theory for the effects of free gas in subsea formations on tidal pore pressure variations and seafloor displacements. Journal of Geophysical Research Atmospheres. 103(B6). 12339–12353. 30 indexed citations

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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