OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Energy (2023) Vol. 282, pp. 128707-128707
Closed Access | Times Cited: 14
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Energy (2023) Vol. 282, pp. 128707-128707
Closed Access | Times Cited: 14
Showing 14 citing articles:
DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Renewable Energy (2024) Vol. 224, pp. 120179-120179
Closed Access | Times Cited: 5
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Renewable Energy (2024) Vol. 224, pp. 120179-120179
Closed Access | Times Cited: 5
A reduced order modeling-based machine learning approach for wind turbine wake flow estimation from sparse sensor measurements
Zhaohui Luo, Longyan Wang, Jian Xu, et al.
Energy (2024) Vol. 294, pp. 130772-130772
Closed Access | Times Cited: 5
Zhaohui Luo, Longyan Wang, Jian Xu, et al.
Energy (2024) Vol. 294, pp. 130772-130772
Closed Access | Times Cited: 5
TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural networks
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Innovative sparse data reconstruction approaches for yawed wind turbine wake flow via data-driven and physics-informed machine learning
Zhaohui Luo, Longyan Wang, Yanxia Fu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Zhaohui Luo, Longyan Wang, Yanxia Fu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
A deep learning approach for hydrofoil optimization of tidal turbines
Changming Li, Bingchen Liang, Peng Yuan, et al.
Ocean Engineering (2024) Vol. 305, pp. 117996-117996
Closed Access | Times Cited: 4
Changming Li, Bingchen Liang, Peng Yuan, et al.
Ocean Engineering (2024) Vol. 305, pp. 117996-117996
Closed Access | Times Cited: 4
Status and Challenges of Marine Current Turbines: A Global Review
Yajing Gu, Zou Tian, Hongwei Liu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 6, pp. 884-884
Open Access | Times Cited: 3
Yajing Gu, Zou Tian, Hongwei Liu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 6, pp. 884-884
Open Access | Times Cited: 3
A novel generative–predictive data-driven approach for multi-objective optimization of horizontal axis tidal turbine
Tianshun Xia, Longyan Wang, Jian Xu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Open Access | Times Cited: 2
Tianshun Xia, Longyan Wang, Jian Xu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Open Access | Times Cited: 2
Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades
Jian Xu, Longyan Wang, Zhaohui Luo, et al.
Energy (2024) Vol. 296, pp. 131216-131216
Closed Access | Times Cited: 2
Jian Xu, Longyan Wang, Zhaohui Luo, et al.
Energy (2024) Vol. 296, pp. 131216-131216
Closed Access | Times Cited: 2
Tidal turbine blade design optimization based on coupled deep learning and blade element momentum theory
Changming Li, Bingchen Liang, Peng Yuan, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 2
Changming Li, Bingchen Liang, Peng Yuan, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 2
TurbineNet/FEM: Revolutionizing fluid-structure interaction analysis for efficient harvesting of tidal energy
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119076-119076
Closed Access | Times Cited: 1
Jian Xu, Longyan Wang, Jianping Yuan, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119076-119076
Closed Access | Times Cited: 1
Structural Optimization Design of Dual Robot Gripper Unloading Device Based on Intelligent Optimization Algorithms and Generative Design
Jiguang Jia, Xuan Sun, Ting Liu, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8298-8298
Open Access | Times Cited: 3
Jiguang Jia, Xuan Sun, Ting Liu, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8298-8298
Open Access | Times Cited: 3
A novel generative approach to the parametric design and multi-objective optimization of horizontal axis tidal turbines
Tianshun Xia, Longyan Wang, Jian Xu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access
Tianshun Xia, Longyan Wang, Jian Xu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access
The effects of the location of the leading-edge tubercles on the performance of horizontal axis wind turbine
Veysel Demırcı, Furkan Erman Kan, Mehmet Seyhan, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119178-119178
Closed Access
Veysel Demırcı, Furkan Erman Kan, Mehmet Seyhan, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119178-119178
Closed Access
Assessing the impact of marine renewable energy in Portugal: an analysis based on ACO-TCN-attention
Haoyan Song, Jingran Gao
Frontiers in Energy Research (2024) Vol. 12
Open Access
Haoyan Song, Jingran Gao
Frontiers in Energy Research (2024) Vol. 12
Open Access
Study of the hydrodynamic characteristics of the blade based on a bionic hydrofoil at low flow velocity
Li Hao, Anyuan Yu, Junhua Chen, et al.
Ocean Engineering (2024) Vol. 318, pp. 120102-120102
Closed Access
Li Hao, Anyuan Yu, Junhua Chen, et al.
Ocean Engineering (2024) Vol. 318, pp. 120102-120102
Closed Access
