Jichuan Kang

1.3k total citations · 1 hit paper
46 papers, 932 citations indexed

About

Jichuan Kang is a scholar working on Statistics, Probability and Uncertainty, Ocean Engineering and Control and Systems Engineering. According to data from OpenAlex, Jichuan Kang has authored 46 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 18 papers in Ocean Engineering and 16 papers in Control and Systems Engineering. Recurrent topics in Jichuan Kang's work include Risk and Safety Analysis (26 papers), Machine Fault Diagnosis Techniques (13 papers) and Structural Integrity and Reliability Analysis (12 papers). Jichuan Kang is often cited by papers focused on Risk and Safety Analysis (26 papers), Machine Fault Diagnosis Techniques (13 papers) and Structural Integrity and Reliability Analysis (12 papers). Jichuan Kang collaborates with scholars based in China, Portugal and United Kingdom. Jichuan Kang's co-authors include Liping Sun, C. Guedes Soares, Mingxin Li, Xu Bai, Xinyue Zhang, Zihao Wang, Mian Wang, Peng Jin, Feng Feng and Jialiang Zhang and has published in prestigious journals such as International Journal of Hydrogen Energy, Expert Systems with Applications and Energy.

In The Last Decade

Jichuan Kang

43 papers receiving 894 citations

Hit Papers

CNN–LSTM–AM: A power prediction model for offshore wind t... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CNN–LSTM–AM: A power prediction model for offshore wind turbines
    2024 57 citations Li Sun, Liping Sun et al. Ocean Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jichuan Kang China 16 334 300 285 209 199 46 932
Liping Sun China 19 468 1.4× 235 0.8× 247 0.9× 330 1.6× 274 1.4× 90 1.3k
Gilberto Francisco Martha de Souza Brazil 16 212 0.6× 255 0.8× 206 0.7× 82 0.4× 207 1.0× 100 833
Junyu Guo China 19 265 0.8× 135 0.5× 125 0.4× 107 0.5× 304 1.5× 58 878
Xiangdi Kong China 11 497 1.5× 171 0.6× 313 1.1× 140 0.7× 260 1.3× 21 1.0k
Stefan Faulstich Germany 12 359 1.1× 226 0.8× 89 0.3× 59 0.3× 126 0.6× 20 697
Jannie Sønderkær Nielsen Denmark 10 193 0.6× 182 0.6× 183 0.6× 47 0.2× 108 0.5× 34 520
Taotao Zhou China 15 334 1.0× 84 0.3× 250 0.9× 68 0.3× 228 1.1× 35 861
Hong Pei China 15 404 1.2× 349 1.2× 93 0.3× 45 0.2× 193 1.0× 40 844
Huixing Meng China 17 313 0.9× 266 0.9× 256 0.9× 103 0.5× 129 0.6× 34 1.1k
F. Spinato United Kingdom 8 696 2.1× 413 1.4× 108 0.4× 74 0.4× 243 1.2× 9 1.2k

Countries citing papers authored by Jichuan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jichuan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jichuan Kang

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

All Works

20 of 20 papers shown
1.
Yang, Xinyue, et al.. (2025). Research on constructing and reasoning the collision knowledge graph of autonomous navigation ship based on enhanced BERT model. Expert Systems with Applications. 278. 127429–127429.
2.
Kang, Jichuan, et al.. (2025). Predictive risk assessment framework for leakage accident of offshore LNG transfer system. Expert Systems with Applications. 271. 126580–126580. 14 indexed citations
3.
Xiao, Yi, Bo Ye, Hengming Zhang, et al.. (2025). Optimization of motion and power performance of a wind-wave hybrid system with built-in wave energy converters. Energy. 339. 139110–139110.
4.
Kang, Jichuan, Xu Zhu, Shen Li, & Mingxin Li. (2024). Fault diagnosis of a wave energy converter gearbox based on an Adam optimized CNN-LSTM algorithm. Renewable Energy. 231. 121022–121022. 31 indexed citations
5.
Sun, Liping, et al.. (2024). Research on the failure modes of autonomous navigation equipment based on the improved expert evaluation method. Ocean Engineering. 300. 117375–117375. 5 indexed citations
6.
Sun, Li, et al.. (2024). Offshore Wind‐Hydrogen Systems Fault Detection Based on CNN‐BiLSTM‐AM Algorithm. Quality and Reliability Engineering International. 41(3). 1092–1107. 1 indexed citations
7.
Sun, Li, et al.. (2024). CNN–LSTM–AM: A power prediction model for offshore wind turbines. Ocean Engineering. 301. 117598–117598. 57 indexed citations breakdown →
8.
Chen, Yiwen, et al.. (2024). Risk assessment for autonomous navigation system based on knowledge graph. Ocean Engineering. 313. 119648–119648. 2 indexed citations
9.
Sun, Ke, et al.. (2023). 2D design and characteristic analysis of an underwater airbag with mooring for underwater compressed air energy storage. Ocean Engineering. 285. 115515–115515. 5 indexed citations
10.
Xu, Yang, et al.. (2023). Failure analysis of floating offshore wind turbines considering working condition correlations. Quality and Reliability Engineering International. 39(5). 1889–1908. 4 indexed citations
11.
Kang, Jichuan, et al.. (2022). Placement Optimization Method of FPSO Gas Detectors Based on Leakage Risk. Journal of Ocean University of China. 21(1). 49–61. 2 indexed citations
12.
Zhang, Jialiang, Jichuan Kang, Liping Sun, & Xu Bai. (2021). Risk assessment of floating offshore wind turbines based on fuzzy fault tree analysis. Ocean Engineering. 239. 109859–109859. 42 indexed citations
13.
Li, Mingxin, Mian Wang, Jichuan Kang, Liping Sun, & Peng Jin. (2020). An opportunistic maintenance strategy for offshore wind turbine system considering optimal maintenance intervals of subsystems. Ocean Engineering. 216. 108067–108067. 47 indexed citations
14.
Sun, Liping, et al.. (2018). Condition based maintenance optimization for offshore wind turbine considering opportunities based on neural network approach. Applied Ocean Research. 74. 69–79. 74 indexed citations
15.
Kang, Jichuan, Mingxin Li, Liping Sun, & Mian Wang. (2017). Preventative Maintenance Optimization for Offshore Wind Turbine Gearbox. The 27th International Ocean and Polar Engineering Conference. 3 indexed citations
16.
Sun, Liping, et al.. (2017). Opportunistic maintenance optimization for offshore wind turbine electrical and electronic system based on rolling horizon approach. Journal of Renewable and Sustainable Energy. 9(3). 26 indexed citations
17.
Sun, Liping, et al.. (2017). Analysis of FPSO dropped objects combining Monte Carlo simulation and neural network-genetic approach. Ocean Engineering. 149. 183–193. 17 indexed citations
18.
Sun, Liping, Jichuan Kang, Song Gao, & Peng Jin. (2016). Study on Maintenance Strategy for FPSO Offloading System Based on Reliability Analysis. The 26th International Ocean and Polar Engineering Conference. 1 indexed citations
19.
20.
Liu, Zijian, Liping Sun, Yongjin Guo, & Jichuan Kang. (2015). Fuzzy FMEA of Floating Wind Turbine Based on Related Weights and TOPSIS Theory. 1120–1125. 5 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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