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OpenAlex Citation Counts

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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:

Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health
Zhencheng Fan, Zheng Yan, Shiping Wen
Sustainability (2023) Vol. 15, Iss. 18, pp. 13493-13493
Open Access | Times Cited: 110
Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, et al.
Energy Strategy Reviews (2024) Vol. 53, pp. 101409-101409
Open Access | Times Cited: 17
Review on Interpretable Machine Learning in Smart Grid
Chongchong Xu, Zhicheng Liao, Chaojie Li, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4427-4427
Open Access | Times Cited: 55
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, et al.
Applied Energy (2022) Vol. 326, pp. 119925-119925
Closed Access | Times Cited: 50
A Wind Power Forecasting Model Using LSTM Optimized by the Modified Bald Eagle Search Algorithm
Wumaier Tuerxun, Chang Xu, Hongyu Guo, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 2031-2031
Open Access | Times Cited: 43
Facile synthesis of NiTe2-Co2Te2@rGO nanocomposite for high-performance hybrid supercapacitor
Maziar Farshadnia, Ali A. Ensafi, Kimia Zarean Mousaabadi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 31
A review of machine learning and deep learning applications in wave energy forecasting and WEC optimization
Alireza Shadmani, Mohammad Reza Nikoo, Amir H. Gandomi, et al.
Energy Strategy Reviews (2023) Vol. 49, pp. 101180-101180
Open Access | Times Cited: 25
Enhanced supercapacitor potential of CeO2/MXene nanocomposites with tunable conductive polyaniline concentrations
Alvena Shahid, Zohra Nazir Kayani, Saira Riaz, et al.
Diamond and Related Materials (2024) Vol. 146, pp. 111167-111167
Closed Access | Times Cited: 10
KNN APPROACHES BY USING BALL TREE SEARCHING ALGORITHM WITH MINKOWSKI DISTANCE FUNCTION ON SMART GRID DATA
Dr.Belwin J Brearley, Dr.K. Regin Bose, K. Senthil, et al.
Indian Journal of Computer Science and Engineering (2022) Vol. 13, Iss. 4, pp. 1210-1226
Open Access | Times Cited: 30
Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment
Edoardo Pasta, Nicolás Faedo, Giuliana Mattiazzo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 188, pp. 113877-113877
Open Access | Times Cited: 18
Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Journal of Cleaner Production (2022) Vol. 379, pp. 134820-134820
Closed Access | Times Cited: 26
Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study
Fatemehsadat Mirshafiee, Emad Shahbazi, Mohadeseh Safi, et al.
Energies (2023) Vol. 16, Iss. 1, pp. 502-502
Open Access | Times Cited: 13
Winds of Change: Enhancing Wind Power Generation Forecasting with LSTM Models and Advanced Techniques in a Single Turbine Wind Farm
Abdel Ali Mana
Artificial Intelligence and Applications (2024)
Open Access | Times Cited: 4
Predicting significant wave height in the South China Sea using the SAC-ConvLSTM model
Boyang Hou, Hanjiao Fu, Xin Li, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 4
Data-driven deep learning models in particle-laden turbulent flow
Reza Hassanian, Ásdís Helgadóttir, Farshad Gharibi, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Open Access
The Role of Artificial Intelligence Algorithms in Marine Scientific Research
Jiang Min, Zhiyuan Zhu
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 17
Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models
Reza Hassanian, Hemanadhan Myneni, Ásdís Helgadóttir, et al.
Physics of Fluids (2023) Vol. 35, Iss. 7
Open Access | Times Cited: 9
Advanced wave energy conversion technologies for sustainable and smart sea: A comprehensive review
Hai Li, Xiaodan Shi, Weihua Kong, et al.
Renewable Energy (2024), pp. 121980-121980
Closed Access | Times Cited: 3
Motion estimation and system identification of a moored buoy via physics-informed neural network
Hewenxuan Li, Lin Lü, Qianying Cao
Applied Ocean Research (2023) Vol. 138, pp. 103677-103677
Closed Access | Times Cited: 8
Smart investigation of artificial intelligence in renewable energy system technologies by natural language processing: Insightful pattern for decision-makers
Kamran Niroomand, Noori M. Cata Saady, Carlos Bazán, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106848-106848
Closed Access | Times Cited: 8
Deterministic and Probabilistic Prediction of Wind Power Based on a Hybrid Intelligent Model
Jiawei Zhang, Rongquan Zhang, Yanfeng Zhao, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4237-4237
Open Access | Times Cited: 7
Dual Ni/Co-hemin metal–organic framework-PrGO for high-performance asymmetric hybrid supercapacitor
Kimia Zarean Mousaabadi, Ali A. Ensafi, Erfan Naghsh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions
Renfeng Liu, Yinbo Song, Yuan Chen, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7250-7250
Open Access | Times Cited: 7
Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU
Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Fluids (2022) Vol. 7, Iss. 11, pp. 344-344
Open Access | Times Cited: 12
State-of-the-Art Review of Deep Learning Methods in Fake Banknote Recognition Problem
Ualikhan Sadyk, Rashid Baimukashev, Cemil Turan
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
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