Leaderboards/Wind Energy Research and Development

Wind Energy Research and Development

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Seyed Matin Malakouti
University of Tabriz
2
Ming-De Liu
Northwest Normal University
3
Abu Danish Aiman Bin Abu Sofian
Unknown
4
Rasul Satymov
Lappeenranta-Lahti University of Technology
5
Lars Ødegaard Bentsen
BearingPoint (United Kingdom)
6
Javier López-Queija
University of the Basque Country
7
Weicheng Hu
Xi'an University of Architecture and Technology
8
Yunrui Chen
China University of Mining and Technology
9
Davide Cazzaro
Technical University of Denmark
10
Mohammad Barooni
Florida Institute of Technology

Rising Stars Papers

1
Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage
Sustainable Development|2024
219 cit.
2
Techno-economic assessment of global and regional wave energy resource potentials and profiles in hourly resolution
Applied Energy|2024
87 cit.
3
Transfer learning framework for the wind pressure prediction of high-rise building surfaces using wind tunnel experiments and machine learning
Building and Environment|2025
61 cit.
4
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Energy & Fuels|2024
59 cit.
5
Advanced techniques for wind energy production forecasting: Leveraging multi-layer Perceptron + Bayesian optimization, ensemble learning, and CNN-LSTM models
Case Studies in Chemical and Environmental Engineering|2024
51 cit.
6
Advancing 3D Printing through Integration of Machine Learning with Algae‐Based Biopolymers
ChemBioEng Reviews|2024
37 cit.
7
Energy and industry transition to carbon-neutrality in Nordic conditions via local renewable sources, electrification, sector coupling, and power-to-X
Energy|2025
36 cit.
8
Techno-economics of offshore wind power in global resolution
Applied Energy|2025
36 cit.
9
Upcycling and recycling of spent battery waste for a sustainable future: Progress and perspectives
Progress in Materials Science|2025
34 cit.
10
An intelligent framework for deriving formulas of aerodynamic forces between high-rise buildings under interference effects using symbolic regression algorithms
Journal of Building Engineering|2024
30 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Omar Farrok
Ahsanullah University of Science and Technology
2
Jennifer Annoni
National Laboratory of the Rockies
3
Rafael Mudafort
Gelre Hospitals
4
Jason Roadman
National Laboratory of the Rockies
5
Dongran Song
Central South University
6
N. Muralikrishnan
Open International University for Alternative Medicines
7
Emmanuel Fernández-Rodríguez
Instituto Tecnológico de Mérida
8
Georg Raimund Pirrung
Technical University of Denmark
9
Mingwei Ge
North China Electric Power University
10
Luai M. Alhems
King Fahd University of Petroleum and Minerals

Emerging Leaders Papers

1
Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation
Applied Energy|2022
76 cit.
2
Biomass to biofuel: Impacts and mitigation of environmental, health, and socioeconomic challenges
Energy Conversion and Management X|2025
76 cit.
3
Coordinated optimization on energy capture and torque fluctuation of wind turbines via variable weight NMPC with fuzzy regulator
Applied Energy|2022
62 cit.
4
Wind turbine wakes modeling and applications: Past, present, and future
Ocean Engineering|2024
58 cit.
5
Research of the array spacing effect on wake interaction of tidal stream turbines
Ocean Engineering|2023
54 cit.
6
Three-Port Converters for Energy Conversion of PV-BES Integrated Systems—A Review
IEEE Access|2023
49 cit.
7
Composite pipelines: Analyzing defects and advancements in non-destructive testing techniques
Engineering Failure Analysis|2023
49 cit.
8
Techno-economic and environmental analysis of hybrid energy systems for remote areas: A sustainable case study in Bangladesh
Energy Conversion and Management X|2024
49 cit.
9
Net-metering and Feed-in-Tariff policies for the optimum billing scheme for future industrial PV systems in Bangladesh
Alexandria Engineering Journal|2022
48 cit.
10
Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model
Wind energy science|2023
41 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Fernando Porté‐Agel
École Polytechnique Fédérale de Lausanne
2
Gregório Iglesias
University College Cork
3
Charles Meneveau
Johns Hopkins University
4
Torgeir Moan
Ningbo University
5
Patrick Moriarty
Museum of the Rockies
6
Johan Meyers
KU Leuven
7
Martin Kühn
Carl von Ossietzky Universität Oldenburg
8
Wen Zhong Shen
Technical University of Denmark
9
Julie K. Lundquist
Johns Hopkins University
10
Lucy Y. Pao
University of Colorado Boulder

Current Senior Leaders Papers

1
Scale-Invariance and Turbulence Models for Large-Eddy Simulation
Annual Review of Fluid Mechanics|2000
1.4k cit.
2
Numerical Modeling of Wind Turbine Wakes
Journal of Fluids Engineering|2002
1.3k cit.
3
A Lagrangian dynamic subgrid-scale model of turbulence
Journal of Fluid Mechanics|1996
1.2k cit.
4
Large eddy simulation study of fully developed wind-turbine array boundary layers
Physics of Fluids|2010
958 cit.
5
The multifractal nature of turbulent energy dissipation
Journal of Fluid Mechanics|1991
870 cit.
6
Experimental and theoretical study of wind turbine wakes in yawed conditions
Journal of Fluid Mechanics|2016
840 cit.
7
Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study
Wind Energy|2014
732 cit.
8
A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics
Journal of Turbulence|2012
628 cit.
9
Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations
Boundary-Layer Meteorology|2010
627 cit.
10
A scale-dependent dynamic model for large-eddy simulation: application to a neutral atmospheric boundary layer
Journal of Fluid Mechanics|2000
586 cit.

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