Journal of Marine Engineering and Technology

Papers
(The TQCC of Journal of Marine Engineering and Technology is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Towards reliable control takeover in ship remote-control system: a cyber-physical fusion testing approach36
Parametric machine learning integrated approach for assessing environmental and engine variables on fuel consumption and carbon intensity34
A novel framework for explaining the formation patterns of ship collisions based on regional disaster system theory34
Improved NSGA-II algorithm for constrained thrust allocation of dynamic positioning ships in rough sea conditions24
Safety of maritime transportation in the new era special edition editorial23
Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation21
A probabilistic assessment of ship blackout incident with Fault Tree Analysis into (FTA) Bayesian Network (BN)16
Consumption-reduced manual and automatic manoeuvring with conventional vessels16
Fault detection in the marine engine using a support vector data description method16
The impact of R&D investment on the new orders received by the shipbuilding enterprises under the background of innovation-driven development16
A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network15
Risk assessment of emergency operations of floating storage and regasification unit13
Human-autonomy collaboration in supervisory risk control of autonomous ships13
A scaled wind turbine model-based aerodynamic testing apparatus for offshore floating wind turbines12
Progress towards multidimensionally scalable assisted and/or automated ship navigation and control – part II: human in the interaction loop12
Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities11
A quantitative study on anchoring speed for Maritime Autonomous Surface Ships9
A machine learning-based data-driven method for risk analysis of marine accidents9
Accident analysis reinforced by natural language processing: the case of interactions between maritime and diving operations9
Research on ship navigation risk prediction model integrating multi-source data features and self-attention mechanism9
A distributed object-oriented simulator framework for marine power plants with weak power grids8
Course keeping control for very large ship using hyperbolic tangent function based on nonlinear decoration technique8
Energy management and health monitoring for hybrid ship power plants7
Dynamic risk analysis of tank cleaning operations using bow-tie-based fuzzy Bayesian network7
A prediction and load shed-based approach of controlling a medium voltage AC/DC testbed7
A method to assess the impact of safe return to port regulatory framework on passenger ships concept design7
The viability of retro-fitting a re-liquefaction plant onboard a 150,000m3 DFDE LNG carrier7
Enhanced USV path planning through integrated Bi-RRT and DWA algorithms considering environmental factors6
Hydrodynamics of offshore platforms: a critical review6
Quay-to-quay mission with autonomous docking: a model-scale experimental validation6
A long short term memory network-based, global navigation satellite system/inertial navigation system for unmanned surface vessels6
A risk assessment of an autonomous navigation system for a maritime autonomous surface ship6
Numerical investigation on hydrodynamic performance of shaftless rim-driven thruster5
The assessment of alternative fuel and engine power limitation utilisation in hybrid marine propulsion systems regarding energy efficiency metrics5
MAPSO-based mode transition process optimisation of ship parallel hybrid power system5
Data-driven model for marine engine fault diagnosis using in-cylinder pressure signals5
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