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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:

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Mahdi Sharifzadeh, Alexandra Sikinioti-Lock, Nilay Shah
Renewable and Sustainable Energy Reviews (2019) Vol. 108, pp. 513-538
Closed Access | Times Cited: 295

Showing 26-50 of 295 citing articles:

Forecasts of China Mainland New Energy Index Prices through Gaussian Process Regressions
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 01
Closed Access | Times Cited: 20
Forecasts of coking coal futures price indices through Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 20
Artificial intelligence potential for net zero sustainability: Current evidence and prospects
David B. Olawade, Ojima Z. Wada, Aanuoluwapo Clement David-Olawade, et al.
Next Sustainability (2024) Vol. 4, pp. 100041-100041
Open Access | Times Cited: 19
Advancing solar PV panel power prediction: A comparative machine learning approach in fluctuating environmental conditions
Abhishek Kumar Tripathi, Mangalpady Aruna, P. V. Elumalai, et al.
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104459-104459
Open Access | Times Cited: 17
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 16
Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2
Pyrolysis of municipal sewage sludge for bioenergy production: Thermo-kinetic studies, evolved gas analysis, and techno-socio-economic assessment
Hossein Shahbeig, Mohsen Nosrati
Renewable and Sustainable Energy Reviews (2019) Vol. 119, pp. 109567-109567
Closed Access | Times Cited: 138
Application of functional deep belief network for estimating daily global solar radiation: A case study in China
Haixiang Zang, Lilin Cheng, Tao Ding, et al.
Energy (2019) Vol. 191, pp. 116502-116502
Closed Access | Times Cited: 105
Multivariate Regression-Based Fault Detection and Recovery of UAV Flight Data
Benkuan Wang, Datong Liu, Yu Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 6, pp. 3527-3537
Closed Access | Times Cited: 99
Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador
Germánico López, Pablo Arboleyá
Renewable Energy (2021) Vol. 183, pp. 351-368
Closed Access | Times Cited: 88
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 80
Forecasting electricity consumption using a novel hybrid model
Guo‐Feng Fan, Xiao Wei, Yating Li, et al.
Sustainable Cities and Society (2020) Vol. 61, pp. 102320-102320
Closed Access | Times Cited: 78
A feature extraction and machine learning framework for bearing fault diagnosis
Cui Bodi, Yang Weng, Ning Zhang
Renewable Energy (2022) Vol. 191, pp. 987-997
Open Access | Times Cited: 66
Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment
Muhammad Adnan Khan, Ahmed Mohammed Saleh, Muhammad Waseem, et al.
IEEE Access (2022) Vol. 11, pp. 1477-1505
Open Access | Times Cited: 64
A systematic review of machine learning techniques related to local energy communities
Alejandro Hernandez-Matheus, Markus Löschenbrand, Kjersti Berg, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 170, pp. 112651-112651
Open Access | Times Cited: 56
Sustainable energies and machine learning: An organized review of recent applications and challenges
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 48
A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
Seppo Sierla, Mahdi Pourakbari‐Kasmaei, Valeriy Vyatkin
Automation in Construction (2022) Vol. 136, pp. 104174-104174
Open Access | Times Cited: 46
Development of a Machine learning assessment method for renewable energy investment decision making
Milad Izanloo, Alireza Aslani, Rahim Zahedi
Applied Energy (2022) Vol. 327, pp. 120096-120096
Closed Access | Times Cited: 41
Risk-averse and flexi-intelligent scheduling of microgrids based on hybrid Boltzmann machines and cascade neural network forecasting
Mohammadali Norouzi, Jamshid Aghaei, Taher Niknam, et al.
Applied Energy (2023) Vol. 348, pp. 121573-121573
Open Access | Times Cited: 40
A critical review of PV systems’ faults with the relevant detection methods
Khaled Osmani, Ahmad Haddad, Thierry Lemenand, et al.
Energy Nexus (2023) Vol. 12, pp. 100257-100257
Open Access | Times Cited: 39
Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting
Amit Rai, Ashish Shrivastava, Kartick Chandra Jana
Energy (2022) Vol. 263, pp. 125746-125746
Closed Access | Times Cited: 38
Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning
Martin János Mayer, Bence Biró, Botond Szücs, et al.
Applied Energy (2023) Vol. 336, pp. 120801-120801
Open Access | Times Cited: 36
Energy Consumption of Electric Vehicles: Analysis of Selected Parameters Based on Created Database
Maksymilian Mądziel, Tiziana Campisi
Energies (2023) Vol. 16, Iss. 3, pp. 1437-1437
Open Access | Times Cited: 31
Knowledge-aware design of high-strength aviation aluminum alloys via machine learning
Juan Yong-fei, Guoshuai Niu, Yang Yang, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 346-361
Open Access | Times Cited: 29
Using Artificial Neural Networks for Predicting Ship Fuel Consumption
Van Giao Nguyen, R. Sakthivel, Krzysztof Rudzki, et al.
Polish Maritime Research (2023) Vol. 30, Iss. 2, pp. 39-60
Open Access | Times Cited: 27

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