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:

Artificial intelligence-based prediction and analysis of the oversupply of wind and solar energy in power systems
Mohammad H. Shams, Haider Niaz, Behzad Hashemi, et al.
Energy Conversion and Management (2021) Vol. 250, pp. 114892-114892
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
Energy (2022) Vol. 262, pp. 125592-125592
Closed Access | Times Cited: 86

The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar
Cleaner Engineering and Technology (2023) Vol. 15, pp. 100664-100664
Open Access | Times Cited: 83

Environmental and energy efficiency assessments of offshore hydrogen supply chains utilizing compressed gaseous hydrogen, liquefied hydrogen, liquid organic hydrogen carriers and ammonia
Hyonjeong Noh, Kwangu Kang, Youngkyun Seo
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 20, pp. 7515-7532
Closed Access | Times Cited: 77

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 48

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 47

Artificial neural networks applications in partially shaded PV systems
A.G. Olabi, Mohammad Ali Abdelkareem, Concetta Semeraro, et al.
Thermal Science and Engineering Progress (2022) Vol. 37, pp. 101612-101612
Closed Access | Times Cited: 64

Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang, Peng Chen, Zhao Zhen, et al.
Applied Energy (2022) Vol. 323, pp. 119579-119579
Closed Access | Times Cited: 61

Life Cycle Assessment of Inland Green Hydrogen Supply Chain Networks with Current Challenges and Future Prospects
Malik Sajawal Akhtar, Rofice Dickson, J. Jay Liu
ACS Sustainable Chemistry & Engineering (2021) Vol. 9, Iss. 50, pp. 17152-17163
Closed Access | Times Cited: 50

A stochastic agent-based cooperative scheduling model of a multi-vector microgrid including electricity, hydrogen, and gas sectors
Vahid Khaligh, Azam Ghezelbash, Mohammadreza Mazidi, et al.
Journal of Power Sources (2022) Vol. 546, pp. 231989-231989
Closed Access | Times Cited: 32

Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions
Latifa A. Yousef, Hibba Yousef, Lisandra Rocha‐Meneses
Energies (2023) Vol. 16, Iss. 24, pp. 8057-8057
Open Access | Times Cited: 21

Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms
Mustafa Saglam, Catalina Spataru, Ömer Ali Karaman
Energies (2023) Vol. 16, Iss. 11, pp. 4499-4499
Open Access | Times Cited: 18

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121545-121545
Open Access | Times Cited: 18

Risk-constrained energy management of an isolated multi-energy microgrid enhanced with hydrogen storage
Vahid Khaligh, Mohammad Kazem Ghasemnejad, Azam Ghezelbash, et al.
Journal of Energy Storage (2023) Vol. 63, pp. 107103-107103
Closed Access | Times Cited: 17

An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
Yunlong Lv, Qin Hu, Hang Xu, et al.
Energy (2024) Vol. 293, pp. 130751-130751
Closed Access | Times Cited: 6

Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26

Energy management of hydrogen refueling stations in a distribution system: A bilevel chance-constrained approach
Mohammad H. Shams, Haider Niaz, J. Jay Liu
Journal of Power Sources (2022) Vol. 533, pp. 231400-231400
Closed Access | Times Cited: 23

Efficient integration of alkaline water electrolyzer – A model predictive control approach for a sustainable low-carbon district heating system
Vahid Khaligh, Azam Ghezelbash, Mohammadamin Zarei, et al.
Energy Conversion and Management (2023) Vol. 292, pp. 117404-117404
Closed Access | Times Cited: 15

P-robust energy management of a multi-energy microgrid enabled with energy conversions under various uncertainties
Vahid Khaligh, Azam Ghezelbash, Mohammadreza Mazidi, et al.
Energy (2023) Vol. 271, pp. 127084-127084
Closed Access | Times Cited: 14

Analysis and prediction of the penetration of renewable energy in power systems using artificial neural network
Y. Han, Yanfen Liao, Xiaoqian Ma, et al.
Renewable Energy (2023) Vol. 215, pp. 118914-118914
Closed Access | Times Cited: 12

Artificial Intelligence-Based Solar Power Generation Prediction and Analysis
Niraj H. Patel, Prakruti Shah, Siddharth Joshi
(2025), pp. 1-6
Closed Access

An Adjustable Robust Optimization Model Under Dynamic Informer-Based Framework for Industrial Renewable Energy Systems
Aoqun Ma, Feifei Shen, Zhi Li, et al.
Process Safety and Environmental Protection (2025), pp. 107062-107062
Closed Access

Modeling of microbial fuel cell power generation using machine learning-based super learner algorithms
S. M. Zakir Hossain, Nahid Sultana, Shaker Haji, et al.
Fuel (2023) Vol. 349, pp. 128646-128646
Closed Access | Times Cited: 9

Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 3

Leveraging renewable oversupply using a chance-constrained optimization approach for a sustainable datacenter and hydrogen refueling station: Case study of California
Haider Niaz, Mohammad H. Shams, Mohammadamin Zarei, et al.
Journal of Power Sources (2022) Vol. 540, pp. 231558-231558
Closed Access | Times Cited: 14

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