Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Digital twin of wind farms via physics-informed deep learning
Jincheng Zhang, Xiaowei Zhao
Energy Conversion and Management (2023) Vol. 293, pp. 117507-117507
Open Access | Times Cited: 25

Showing 25 citing articles:

A physics-guided machine learning framework for real-time dynamic wake prediction of wind turbines
Baoliang Li, Mingwei Ge, Xintao Li, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 13
Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review
Gang Yu, Xianming Ye, Xiaohua Xia, et al.
Sustainable Cities and Society (2024) Vol. 108, pp. 105479-105479
Closed Access | Times Cited: 8
Performance evaluation and optimization of the cascade refrigeration system based on the digital twin model
Yanpeng Li, Yiwei Feng, Chuang Wang, et al.
Applied Thermal Engineering (2024) Vol. 248, pp. 123160-123160
Closed Access | Times Cited: 7
Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model
Fengyuan Zhang, Jie Liu, Yujie Liu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123724-123724
Closed Access | Times Cited: 6
Innovative Horizons for Sustainable Smart Energy: Exploring the Synergy of 5G and Digital Twin Technologies
Mirjana Maksimović, Srđan Jokić, Marko Bošković
Process Integration and Optimization for Sustainability (2025)
Closed Access
Wake field prediction of a wind farm based on a physics-informed neural network with different spatiotemporal prediction performance improvement strategies
Jung‐Hun Song, Lei Wang, Zhiqiang Xin, et al.
Theoretical and Applied Mechanics Letters (2025), pp. 100577-100577
Open Access
Overview of Data-Driven Models for Wind Turbine Wake Flows
Maokun Ye, Min Li, Mingqiu Liu, et al.
Journal of Marine Science and Application (2025)
Open Access
Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept
Olufemi I. Olayiwola, Ümit Cali, Miles Elsden, et al.
Solar (2025) Vol. 5, Iss. 1, pp. 7-7
Open Access
A Data-Driven Algorithm for Dynamic Parameter Estimation of an Alkaline Electrolysis System Combining Online Reinforcement Learning and k-Means Clustering Analysis
Zexian Sun, Tao Zhang, Jiaming Zhang, et al.
Processes (2025) Vol. 13, Iss. 4, pp. 1009-1009
Open 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
A Self-Calibrating Digital Twin Approach by Integrating CFD and Sensor Data for Coal-Fired Boiler Water Wall Temperature
Tianyi Wang, Wenqi Zhong, Xi Chen, et al.
Journal of Thermal Science (2025)
Closed Access
Augmenting insights from wind turbine data through data-driven approaches
Coleman Moss, Romit Maulik, Giacomo Valerio Iungo
Applied Energy (2024) Vol. 376, pp. 124116-124116
Closed Access | Times Cited: 2
Dynamic wake steering control for maximizing wind farm power based on a physics-guided neural network dynamic wake model
Baoliang Li, Mingwei Ge, Xintao Li, et al.
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 2
Spatial-temporal offshore wind speed characteristics prediction based on an improved purely 2D CNN approach in a large-scale perspective using reanalysis dataset
Zeguo Zhang, Jianchuan Yin
Energy Conversion and Management (2023) Vol. 299, pp. 117880-117880
Open Access | Times Cited: 6
Instantaneous 2D extreme wind speed prediction using the novel Wind Gust Prediction Net based on purely convolutional neural mechanism
Zeguo Zhang, Jianchuan Yin
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Physics-inspired and data-driven two-stage deep learning approach for wind field reconstruction with experimental validation
Yi Liu, Ranpeng Wang, Yin Gu, et al.
Energy (2024) Vol. 298, pp. 131230-131230
Closed Access | Times Cited: 1
Study on mining wind information for identifying potential offshore wind farms using deep learning
Jiahui Zhang, Tao Zhang, Yixuan Li, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Revolutionising agriculture for food security and environmental sustainability: A perspective on the role of digital twin technology
Divine Senanu Ametefe, Norhayati Hussin, Dah John, et al.
CABI Reviews (2024)
Closed Access | Times Cited: 1
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
Classification and Maturity of Digital Twins for Buildings and Energy Systems: A Systematic Literature Review
Tancredi Testasecca, Marco Ferraro, Diego Arnone, et al.
(2024)
Closed Access
A Data-Physical Hybrid-Driven Layout Optimization Framework for Large-Scale Wind Farms
Peiyi Li, Yanbo Che, Xiaojiang Guo
(2024)
Closed Access
Unlocking the Potential of Digital Twins for a Greener Grid: Applications for the whole range of the electric power system
Panitarn Chongfuangprinya, Yanzhu Ye, Chandrasekar Venkatraman, et al.
IEEE Electrification Magazine (2024) Vol. 12, Iss. 3, pp. 10-20
Closed Access
Physics informed neural network based multi-zone electric water heater modeling for demand response
Surya Venkatesh Pandiyan, Sébastien Gros, Jayaprakash Rajasekharan
Applied Energy (2024) Vol. 380, pp. 125037-125037
Closed Access
Enhancing solar furnace thermal stress testing using an adaptive model and nonlinear predictive control
Igor M. L. Pataro, Juan D. Gil, Lídia Roca, et al.
Renewable Energy (2024) Vol. 230, pp. 120797-120797
Open Access
Page 1

Scroll to top