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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:

Photovoltaic generation forecasting using convolutional and recurrent neural networks
Amirhossein Babalhavaeji, Mohammadreza Radmanesh, Mahdi Jalili, et al.
Energy Reports (2023) Vol. 9, pp. 119-123
Open Access | Times Cited: 13

Showing 13 citing articles:

Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.
Yang‐Seon Kim, Moon Keun Kim, Nuodi Fu, et al.
Sustainable Cities and Society (2024), pp. 105570-105570
Open Access | Times Cited: 20
A hybrid machine learning forecasting model for photovoltaic power
Zhijian Hou, Yunhui Zhang, Qian Liu, et al.
Energy Reports (2024) Vol. 11, pp. 5125-5138
Open Access | Times Cited: 9
An Ultra-Short-Term Wind Power Forecasting Model Based on EMD-EncoderForest-TCN
Yu Sun, Junjie Yang, Xiaotian Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 60058-60069
Open Access | Times Cited: 6
Forecasting the temperature of a building-integrated photovoltaic panel equipped with phase change material using artificial neural network
Shiwan Zhou, Wenting Lu, Wenfang Li, et al.
Case Studies in Thermal Engineering (2024) Vol. 57, pp. 104355-104355
Open Access | Times Cited: 4
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
Techno-Economic Implications and Cost of Forecasting Errors in Solar PV Power Production Using Optimized Deep Learning Models
Sameer Al‐Dahidi, Mohammad Alrbai, Bilal Rinchi, et al.
Energy (2025), pp. 135877-135877
Closed Access
Enhancing Short-Term Solar Photovoltaic Power Forecasting Using a Hybrid Deep Learning Approach
Nattha Thipwangmek, Nopparuj Suetrong, Attaphongse Taparugssanagorn, et al.
IEEE Access (2024) Vol. 12, pp. 108928-108941
Open Access | Times Cited: 3
Ensemble Technique-Based Short-Term Supply and Demand Forecasting with Features Selection Approach in Decentralized Energy Systems
Adugna Gebrie Jember, Ruixin Bao, Zijia Yao, et al.
(2024), pp. 5-5
Closed Access | Times Cited: 1
Are There Other Factors Besides Meteorological Variables to Consider When Forecasting Photovoltaic Power? A Comparative Analysis Using Machine Learning Models
Jung‐Min Ahn, Juyong Lee
(2024)
Closed Access
Short-Term Forecasting of Photovoltaic Power Using Multilayer Perceptron Neural Network, Convolutional Neural Network, and k-Nearest Neighbors’ Algorithms
Kelachukwu Iheanetu, KeChrist Obileke
Optics (2024) Vol. 5, Iss. 2, pp. 293-309
Open Access
Experimental development of a method of short and medium-term photovoltaic generation forecasting using multivariate statistics and mathematical modeling
André Possamai Rosso, Giuliano Arns Rampinelli, Lírio Schaeffer
Energy Reports (2024) Vol. 12, pp. 1710-1722
Closed Access
Short-Term Photovoltaic Forecasting Model with Parallel Multi-Channel Optimization Based on Improved Dung Beetle Algorithm
Keyong Hu, Chunyuan Lang, Zheyi Fu, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e37835-e37835
Open Access
Predictive computing of human errors while training machine learning models
Hongjie Tao, Zhengji Wu, Zhangwei Ling, et al.
(2023) Vol. 5, pp. 1-6
Closed Access
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