Shanshan Fu

1.7k total citations · 2 hit papers
70 papers, 1.3k citations indexed

About

Shanshan Fu is a scholar working on Ocean Engineering, Statistics, Probability and Uncertainty and Sociology and Political Science. According to data from OpenAlex, Shanshan Fu has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Ocean Engineering, 30 papers in Statistics, Probability and Uncertainty and 14 papers in Sociology and Political Science. Recurrent topics in Shanshan Fu's work include Maritime Navigation and Safety (40 papers), Risk and Safety Analysis (30 papers) and Arctic and Russian Policy Studies (14 papers). Shanshan Fu is often cited by papers focused on Maritime Navigation and Safety (40 papers), Risk and Safety Analysis (30 papers) and Arctic and Russian Policy Studies (14 papers). Shanshan Fu collaborates with scholars based in China, Finland and United Kingdom. Shanshan Fu's co-authors include Di Zhang, Mingyang Zhang, Xinping Yan, Yongtao Xi, Jihong Chen, Enrico Zio, Jakub Montewka, Bing Han, Zhongdai Wu and Floris Goerlandt and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Shanshan Fu

60 papers receiving 1.3k citations

Hit Papers

A framework for quantitative analysis of the causation of... 2022 2026 2023 2024 2022 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Fu China 20 879 540 276 245 179 70 1.3k
Yongtao Xi China 14 559 0.6× 423 0.8× 85 0.3× 164 0.7× 47 0.3× 40 775
Mawuli Afenyo Canada 17 294 0.3× 217 0.4× 188 0.7× 75 0.3× 72 0.4× 24 801
Zhuohua Qu United Kingdom 14 276 0.3× 223 0.4× 64 0.2× 97 0.4× 170 0.9× 36 920
Sean Loughney United Kingdom 18 800 0.9× 294 0.5× 32 0.1× 180 0.7× 115 0.6× 41 998
Maria Hänninen Finland 13 859 1.0× 521 1.0× 35 0.1× 432 1.8× 70 0.4× 27 1.1k
Hugo Díaz Portugal 13 362 0.4× 128 0.2× 100 0.4× 136 0.6× 151 0.8× 25 1.2k
Ahmed Mébarki France 23 251 0.3× 413 0.8× 50 0.2× 148 0.6× 83 0.5× 100 1.5k
Nikolaos P. Ventikos Greece 14 557 0.6× 323 0.6× 19 0.1× 184 0.8× 178 1.0× 67 1.0k
Bjørn Egil Asbjørnslett Norway 12 300 0.3× 136 0.3× 33 0.1× 80 0.3× 418 2.3× 41 983

Countries citing papers authored by Shanshan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Fu. A scholar is included among the top collaborators of Shanshan Fu 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 Shanshan Fu. Shanshan Fu 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.
Fu, Shanshan, et al.. (2025). A data-driven framework for risk and resilience analysis in maritime transportation systems: A case study of domino effect accidents in arctic waters. Reliability Engineering & System Safety. 260. 111049–111049. 14 indexed citations
2.
Zhou, Yong, et al.. (2025). Framework for detecting abnormal behaviors of passenger ships: A case study from the Yangtze River Estuary. Ocean Engineering. 325. 120796–120796. 3 indexed citations
4.
Jiang, Yi, Wenlai Xu, Ran Yan, et al.. (2025). Effectiveness and mechanism of using sodium alginate-magnesium silicate carrier in UASB reactor to resist shock loading of coking wastewater. Journal of Cleaner Production. 506. 145519–145519.
5.
Xu, Lang, J. C. Wu, Ran Yan, Jihong Chen, & Shanshan Fu. (2025). Who predicts better? A comparison of machine learning and econometrics in forecasting CO2 emissions from global shipping. Energy. 338. 138967–138967.
6.
Fu, Shanshan, et al.. (2024). Central Asian pension systems: A comparative analysis of achievements, risks and development mechanisms. SHILAP Revista de lepidopterología. 11(4). 93–105. 1 indexed citations
8.
Chen, Jihong, et al.. (2024). How environmental data enables intelligent navigation: Factors assessment of affecting the navigation in the Northeast Arctic Route. Regional Studies in Marine Science. 79. 103861–103861. 2 indexed citations
9.
Liu, Kezhong, et al.. (2024). Framework for process risk analysis of maritime accidents based on resilience theory: A case study of grounding accidents in Arctic waters. Reliability Engineering & System Safety. 249. 110202–110202. 36 indexed citations
10.
Zhang, Yang, et al.. (2024). Driving factors of ship-induced nitrogen dioxide concentrations over coastal seas of China: Implications for ship emission management. Journal of Environmental Management. 373. 123894–123894. 3 indexed citations
11.
Xiao, Yingjie, et al.. (2023). A Cognitive Approach for Identification of Ship Illegal Behaviors by Using Knowledge Graph. 245. 732–737. 1 indexed citations
12.
Zhang, Mingyang, Xinyu Zhang, Shanshan Fu, Lei Dai, & Qing Yu. (2023). Recent Developments and Knowledge in Intelligent and Safe Marine Navigation. Journal of Marine Science and Engineering. 11(12). 2303–2303.
13.
Fu, Shanshan, et al.. (2022). A framework for quantitative analysis of the causation of grounding accidents in arctic shipping. Reliability Engineering & System Safety. 226. 108706–108706. 104 indexed citations breakdown →
14.
Hu, Shenping, et al.. (2020). Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network. Sustainability. 13(1). 147–147. 22 indexed citations
15.
Hu, Shenping, et al.. (2019). Performance Simulation of the Transportation Process Risk of Bauxite Carriers Based on the Markov Chain and Cloud Model. Journal of Marine Science and Engineering. 7(4). 108–108. 12 indexed citations
16.
Zhang, Mingyang, Di Zhang, Shanshan Fu, Xinping Yan, & Chi Zhang. (2017). A method for planning arctic sea routes under multi-constraint conditions. Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions. 8 indexed citations
17.
Fu, Shanshan, et al.. (2015). Risk Factors Analysis of Arctic Maritime Transportation System Using Structural Equation Modelling. Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions. 1 indexed citations
18.
Fu, Shanshan. (2014). Marine LNG Fuel Application Strategy Analysis Under Uncertainty. Journal of Wuhan University of Technology-Mater Sci Ed.
19.
Wan, Chengpeng, Xinping Yan, Di Zhang, Jing Shi, & Shanshan Fu. (2014). Facilitating AHP-TOPSIS Method for Reliability Analysis of a Marine LNG-Diesel Dual Fuel Engine. International Journal of Performability Engineering. 10(5). 453. 7 indexed citations
20.
Wan, Chengpeng, Xinping Yan, Di Zhang, & Shanshan Fu. (2013). Reliability Analysis of a Marine LNG-Diesel Dual Fuel Engine. SHILAP Revista de lepidopterología. 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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