Leaderboards/Maritime Security and History

Maritime Security and History

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jessica Breakey
Drake University
2
Frank Akpan
University of Portsmouth
3
Anete Vagale
Norwegian University of Science and Technology
4
Hanwen Fan
Dalian Maritime University
5
Hasan Mahbub Tusher
University of South-Eastern Norway
6
Delai Xue
Jimei University
7
Ye Xiao
Hunan University
8
Renato Cruz De Castro
De La Salle University
9
Hongguang Lyu
Dalian Maritime University
10
Yukuan Wang
Wuhan University of Technology

Rising Stars Papers

1
Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes
Reliability Engineering & System Safety|2024
62 cit.
2
A novel object-oriented Bayesian network on risk assessment of sea lanes of communication
Ocean Engineering|2024
24 cit.
3
Embracing imperfect data: A novel data-driven Bayesian network framework for maritime accidents severity risk assessment
Ocean Engineering|2025
20 cit.
4
Leverage rule-based Bayesian network on assessing straits/canals resilience performance on a risk coupling analysis perspective
Maritime Policy & Management|2024
17 cit.
5
Effect of dynamic safety distance of heterogeneous traffic flows on ship traffic efficiency: A prediction and simulation approach
Ocean Engineering|2024
13 cit.
6
How do navy escorts influence piracy risk in East Africa? A Bayesian network approach
Risk Analysis|2024
12 cit.
7
An Adaptive Multimodal Data Vessel Trajectory Prediction Model Based on a Satellite Automatic Identification System and Environmental Data
Journal of Marine Science and Engineering|2024
11 cit.
8
Exploring the Philippines’ Evolving Grand Strategy in the Face of China's Maritime Expansion: From the Aquino Administration to the Marcos Administration
Journal of Current Southeast Asian Affairs|2024
9 cit.
9
Identification of Complex Multi-Vessel Encounter Scenarios and Collision Avoidance Decision Modeling for MASSs
Journal of Marine Science and Engineering|2024
8 cit.
10
Co-prediction of multiple transportation demands in Ro-Ro terminal based on dates fine-grained temporal fusion transformer
Computers & Industrial Engineering|2025
4 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Timothy Edmunds
University of Bristol
2
Yiquan Du
NetEase (China)
3
Karolina Zwolak
Polish Naval Academy
4
Daneshwar Sinha
Unknown
5
Zhiwei Han
Harbin Engineering University
6
Shuo Xie
Wuhan Ship Development & Design Institute
7
Xavier Bellekens
Integrated Environmental Solutions (United Kingdom)
8
Summera Nosheen
The University of Sydney
9
Mingyang Zhang
Shanghai Jiao Tong University
10
Matteo Villa
Institute for International Political Studies

Emerging Leaders Papers

1
A deep learning method for the prediction of ship fuel consumption in real operational conditions
Engineering Applications of Artificial Intelligence|2023
150 cit.
2
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways
Reliability Engineering & System Safety|2022
147 cit.
3
A Survey on Cyber Security Threats in IoT-Enabled Maritime Industry
IEEE Transactions on Intelligent Transportation Systems|2022
134 cit.
4
Cyber Security in the Maritime Industry: A Systematic Survey of Recent Advances and Future Trends
Information|2022
130 cit.
5
A framework for quantitative analysis of the causation of grounding accidents in arctic shipping
Reliability Engineering & System Safety|2022
122 cit.
6
A machine learning method for the prediction of ship motion trajectories in real operational conditions
Ocean Engineering|2023
115 cit.
7
A machine learning method for the evaluation of ship grounding risk in real operational conditions
Reliability Engineering & System Safety|2022
105 cit.
8
A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route
Reliability Engineering & System Safety|2022
81 cit.
9
Systems driven intelligent decision support methods for ship collision and grounding prevention: Present status, possible solutions, and challenges
Reliability Engineering & System Safety|2024
78 cit.
10
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment|2023
61 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Youmin Zhang
Concordia University
2
C. Guedes Soares
University of Lisbon
3
Zaili Yang
Liverpool John Moores University
4
Guang-Bin Huang
Ministry of Education of the People's Republic of China
5
Defeng Wu
Henan University
6
Xinping Yan
Wuhan University of Technology
7
Asiya Khan
University of Plymouth
8
Joanna Szłapczyńska
Gdynia Maritime University
9
Qiang Meng
Sun Yat-sen University
10
Dong Yang
Hong Kong Polytechnic University

Current Senior Leaders Papers

1
Extreme learning machine: Theory and applications
Neurocomputing|2006
13.2k cit.
2
Extreme Learning Machine for Regression and Multiclass Classification
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)|2011
5.5k cit.
3
Extreme learning machine: a new learning scheme of feedforward neural networks
Unknown Journal|2005
4.1k cit.
4
Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes
IEEE Transactions on Neural Networks|2006
2.6k cit.
5
Bibliographical review on reconfigurable fault-tolerant control systems
Annual Reviews in Control|2008
2.6k cit.
6
Extreme learning machines: a survey
International Journal of Machine Learning and Cybernetics|2011
1.9k cit.
7
Extreme Learning Machine for Multilayer Perceptron
IEEE Transactions on Neural Networks and Learning Systems|2015
1.5k cit.
8
Convex incremental extreme learning machine
Neurocomputing|2007
1.1k cit.
9
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
Cognitive Computation|2014
962 cit.
10
Enhanced random search based incremental extreme learning machine
Neurocomputing|2007
898 cit.

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