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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.

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Showing 1-25 of 55 citing articles:

AI-driven solutions in renewable energy: A review of data science applications in solar and wind energy optimization
Nzubechukwu Chukwudum Ohalete, Adebayo Olusegun Aderibigbe, Emmanuel Chigozie Ani, et al.
World Journal of Advanced Research and Reviews (2023) Vol. 20, Iss. 3, pp. 401-417
Open Access | Times Cited: 46
Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE
Shuhui Cui, Shouping Lyu, Yongzhi Ma, et al.
Energy (2024) Vol. 307, pp. 132766-132766
Closed Access | Times Cited: 46
Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117574-117574
Closed Access | Times Cited: 34
Real-time and day-ahead risk averse multi-objective operational scheduling of virtual power plant using modified Harris Hawk's optimization
Anubhav Kumar Pandey, Vinay Kumar Jadoun, N. S. Jayalakshmi
Electric Power Systems Research (2023) Vol. 220, pp. 109285-109285
Closed Access | Times Cited: 26
Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0
Umer Amir Khan, Noman Mujeeb Khan, Muhammad Hamza Zafar
Energy Conversion and Management X (2023) Vol. 20, pp. 100486-100486
Open Access | Times Cited: 22
Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions
Ali M. Hayajneh, Feras Alasali, Abdelaziz Salama, et al.
IEEE Access (2024) Vol. 12, pp. 10846-10864
Open Access | Times Cited: 13
Uncertain parameters adjustable two-stage robust optimization of a rural housing integrated energy system considering biomass on-site utilization
Fengwu Han, Yunlong Zhao, Jianfeng Zeng, et al.
Energy (2024) Vol. 296, pp. 131106-131106
Closed Access | Times Cited: 10
From pollution to progress: Groundbreaking advances in clean technology unveiled
Harshita Jain
Innovation and Green Development (2024) Vol. 3, Iss. 2, pp. 100143-100143
Open Access | Times Cited: 10
Quantile-transformed multi-attention residual framework (QT-MARF) for medium-term PV and wind power prediction
Adeel Feroz Mirza, Zhaokun Shu, Muhammad Usman, et al.
Renewable Energy (2023) Vol. 220, pp. 119604-119604
Closed Access | Times Cited: 19
A comprehensive approach for PV wind forecasting by using a hyperparameter tuned GCVCNN-MRNN deep learning model
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy (2023) Vol. 283, pp. 129189-129189
Closed Access | Times Cited: 17
Frequency Regulation in Interconnected Power System Through Enhanced Beluga Whale Optimized Flatness-Based Active Disturbance Rejection Control
Shahzad Ali, Yuanqing Xia, Zohaib Ahmad Khan, et al.
IEEE Access (2024) Vol. 12, pp. 15348-15367
Open Access | Times Cited: 6
A novel hybrid model for short-term prediction of PV power based on KS-CEEMDAN-SE-LSTM
Huifang Feng, Chunsheng Yu
Renewable energy focus (2023) Vol. 47, pp. 100497-100497
Closed Access | Times Cited: 13
A comprehensive wind power prediction system based on correct multiscale clustering ensemble, similarity matching, and improved whale optimization algorithm–A case study in China
Chunsheng Yu
Renewable Energy (2025), pp. 122529-122529
Closed Access
Sn-doped three-dimensional sea urchin-like morphology of W18O49 marterials for supercapacitor
Yanmei Li, Jin Hu, Zhong‐Shan Deng, et al.
Journal of Materials Science Materials in Electronics (2025) Vol. 36, Iss. 4
Closed Access
Short-term power forecasting of photovoltaic generation based on CFOA-CNN-BiLSTM-Attention
Bing Li, Haizheng Wang, Jinghua Zhang
Electrical Engineering (2025)
Closed Access
Patchtst-Based Short-Term Pv Power Prediction Enhanced by Afsa-If and Multimodal Fusion
Xin Lv, Kai Wang
(2025)
Closed Access
Competitive evaluation and multi-stage planning of park integrated energy systems
Yongtao Guo, Yue Xiang, Zhukui Tan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Recent Advancement in Renewable Energy with Artificial Intelligence and Machine Learning
Sanjay K. Chaudhary, Aakansha Simra, Gaurav Pandey
(2025), pp. 365-385
Closed Access
Photothermal-assisted scheme design and thermodynamic analysis of advanced adiabatic compressed air energy storage system
Hailun Fu, Qingsong Hua, Juan Shi, et al.
Renewable Energy (2023) Vol. 215, pp. 118927-118927
Closed Access | Times Cited: 9
Design of optimized flatness based active disturbance rejection controller for communication time delayed hybrid microgrid
Shahzad Ali, Yuanqing Xia, Khursheed Aurangzeb, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 5, pp. 102664-102664
Open Access | Times Cited: 3
Improved Informer Pv Power Short-Term Prediction Model Based on Weather Typing and Aha-Vmd-Mpe
Shuhui Cui, Kai Wang
(2024)
Closed Access | Times Cited: 3
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
Scheduling and assessment of multi-area virtual power plant including flexible resources using swarm intelligence technique
Anubhav Kumar Pandey, Vinay Kumar Jadoun, N. S. Jayalakshmi
Electric Power Systems Research (2024) Vol. 238, pp. 111139-111139
Open Access | Times Cited: 3
Dung beetle optimization algorithm-based hybrid deep learning model for ultra-short-term PV power prediction
Rui Quan, Zhizhuo Qiu, Hang Wan, et al.
iScience (2024) Vol. 27, Iss. 11, pp. 111126-111126
Closed Access | Times Cited: 3
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