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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:

Efficient solar power generation forecasting for greenhouses: A hybrid deep learning approach
Divyadharshini Venkateswaran, Yongyun Cho
Alexandria Engineering Journal (2024) Vol. 91, pp. 222-236
Open Access | Times Cited: 19

Showing 19 citing articles:

A Comprehensive Review of Artificial Intelligence Approaches for Smart Grid Integration and Optimization
Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100724-100724
Open Access | Times Cited: 5
Marine diesel engine piston ring fault diagnosis based on LSTM and improved beluga whale optimization
Bingwu Gao, Jing Xu, Huajin Zhang, et al.
Alexandria Engineering Journal (2024) Vol. 109, pp. 213-228
Open Access | Times Cited: 4
A Hybrid Prediction Model of Photovoltaic Power System Based on AP, Issa-Based Vmd, Clkan and Error Correction
Feifan Zheng, Ye Xu, Zhong-Yan Li, et al.
(2025)
Closed Access
Artificial neural networks computing system for Ree-Eyring hybrid nanofluid flow over a solar panel sheet: Hamilton–Crosser model
P. Priyadharshini, M. Archana
International Journal of Ambient Energy (2025)
Closed Access
A Novel Hybrid Machine Learning Approaches for Prediction of Greenhouse Energy Demand and Production
Laila Ouazzani Chahidi, Zineb Bounoua, Abdellah Mechaqrane
e-Prime - Advances in Electrical Engineering Electronics and Energy (2025), pp. 100944-100944
Open Access
Dynamic Load Identification of Thin-Walled Cabin Based on CNN-LSTM-SA Neural Network
Jun Wang, Shaowei Song, Chang Liu, et al.
Materials (2025) Vol. 18, Iss. 6, pp. 1255-1255
Open Access
Learning hidden relationship between environment and control variables for direct control of automated greenhouse using Transformer-based model
Junseo Lee, Seongil Im, Jae‐Seung Jeong, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110335-110335
Open Access
Physics-informed hybrid model for scour evolution prediction around pile foundations under tidal currents
Jiyi Wu, Jian Guo, Jinzhi Wu
Physics of Fluids (2025) Vol. 37, Iss. 4
Closed Access
Forecasting Green Energy Production in Latin American Countries and Canada via Temporal Fusion Transformer
Muhammad Shoaib Saleem, Javed Rashid, Sajjad Ahmad, et al.
Energy Science & Engineering (2025)
Open Access
Solar Radiation Prediction Based on the Sparrow Search Algorithm, Convolutional Neural Networks, and Long Short-Term Memory Networks
Shuai Du, Jianxin Zou, Xinli Zheng, et al.
Processes (2025) Vol. 13, Iss. 5, pp. 1308-1308
Open Access
Federated Learning for Greenhouse Temperature Prediction Using LSTM
Tae-Jun Ha, Tung Vu, Nguyễn Văn Anh, et al.
Advances in computational intelligence and robotics book series (2025), pp. 167-178
Closed Access
Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms
Thanh Tuan Le, Prabhu Paramasivam, Elvis Adril, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 4, pp. 783-813
Open Access | Times Cited: 3
Application of deep learning and attention mechanisms in continuous casting breakout prediction
Benguo Zhang, Heng Wu, Haochen Yu, et al.
Metallurgical Research & Technology (2025) Vol. 122, Iss. 3, pp. 307-307
Closed Access
Hybrid LSTM-Markovian model for greenhouse power consumption prediction: a dynamical approach
Divyadharshini Venkateswaran, Yongyun Cho, Changsun Shin
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 1
Adaptive Detection Method for Arc Faults in Low Voltage Power Supply Systems
Silei Chen, Yutian Liu, Jiahao Mi, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Time Series Analysis of Visitor Trends at Pratama Mitra Sehat Clinic, Kabupaten Sukoharjo, Using LSTM
Yusephus Decupertino Sumanto, Susilo Hariyanto
International Journal of Software & Hardware Research in Engineering (2024) Vol. 12, Iss. 5, pp. 12-17
Open Access
Short-term Load Forecasting Method Based on LSTM Optimized by the Hybrid Dung Bettle Optimization Algorithm
Wei Liu, Tengteng Ren
Results in Engineering (2024), pp. 102675-102675
Open Access
Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods
Yonghong Liu, Muhammad S. Saleem, Javed Rashid, et al.
Energy Science & Engineering (2024)
Open Access
A novel NSSA-LSTM-based forecasting model for ship delays in the Beijing-Hangzhou Grand Canal
Zhengchun Sun, Sudong Xu
Journal of Ocean Engineering and Marine Energy (2024)
Closed Access
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