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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:

Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Syed Muhammad Salman Bukhari, Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, et al.
Renewable energy focus (2023) Vol. 48, pp. 100520-100520
Open Access | Times Cited: 16

Showing 16 citing articles:

ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems
Yakub Kayode Saheed, Oluwadamilare Harazeem Abdulganiyu, Kaloma Usman Majikumna, et al.
International Journal of Critical Infrastructure Protection (2024) Vol. 45, pp. 100674-100674
Closed Access | Times Cited: 10
Enhancing Security for IoT-Based Smart Renewable Energy Remote Monitoring Systems
Alexandre Rekeraho, Daniel Tudor Cotfas, Petru Adrian Cotfas, et al.
Electronics (2024) Vol. 13, Iss. 4, pp. 756-756
Open Access | Times Cited: 5
Method and Validation of Coal Mine Gas Concentration Prediction by Integrating PSO Algorithm and LSTM Network
Guangyu Yang, Quanjie Zhu, Dacang Wang, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 898-898
Open Access | Times Cited: 5
An error-corrected deep Autoformer model via Bayesian optimization algorithm and secondary decomposition for photovoltaic power prediction
Jie Chen, Peng Tian, Shijie Qian, et al.
Applied Energy (2024) Vol. 377, pp. 124738-124738
Closed Access | Times Cited: 5
Refining solar energy forecasting with optimization and feature engineering
Kaustubha Shedbalkar, D. S. More
Journal of Integrated Science and Technology (2025) Vol. 13, Iss. 3
Closed Access
Transfer learning in agriculture: a review
Md Ismail Hossen, Mohammad Awrangjeb, Shirui Pan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Hybrid optimization for energy management in smart grids using Golden Jackal algorithm and deep convolutional neural networks
S. Chithra, C. Arunachalaperumal, R. Rajagopal, et al.
Electrical Engineering (2025)
Closed Access
Energy Load Forecasting Techniques in Smart Grids: A Cross-Country Comparative Analysis
Rachida Hachache, Mourad Labrahmi, António Grilo, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2251-2251
Open Access | Times Cited: 2
Research of Short-Term Wind Power Generation Forecasting Based on mRMR-PSO-LSTM Algorithm
Xuanmin Huo, Hao Su, Yang Pu, et al.
Electronics (2024) Vol. 13, Iss. 13, pp. 2469-2469
Open Access | Times Cited: 1
Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 1
Explainable AI and optimized solar power generation forecasting model based on environmental conditions
Rizk M. Rizk‐Allah, Lobna M. Abouelmagd, Ashraf Darwish, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0308002-e0308002
Open Access | Times Cited: 1
Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach
Divya Singhal, Laxmi Ahuja, Ashish Seth
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access
Ultra-Short-Term Single-Step Photovoltaic Power Prediction Based on Vmd-Attention-Bilstm Combined Model
Shenhui Song, Haisheng Yu
(2024)
Open Access
Risk Modelling and Prediction of Financial Management Using FTL-CSGRU Approach
G. Mothilal Nehru, Roopali P. Kudare, Amrita Tatia Karnawat, et al.
(2024), pp. 1-6
Closed Access
Improving Solar Energy Monitoring: Advanced Deep Learning Predictive Model for Photovoltaic Power Generation
Mohamed Khala, Naima El yanboiy, Ismail Elabbassi, et al.
(2024), pp. 1-6
Closed Access
Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
Filippo Sanfilippo, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Energy and AI (2024) Vol. 18, pp. 100438-100438
Open Access
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