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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:

A novel short-term electrical load forecasting framework with intelligent feature engineering
Binbin Yu, Jianjing Li, Che Liu, et al.
Applied Energy (2022) Vol. 327, pp. 120089-120089
Closed Access | Times Cited: 19

Showing 19 citing articles:

A combined system based on data preprocessing and optimization algorithm for electricity load forecasting
Lei Gu, Jianzhou Wang, Jingjiang Liu
Computers & Industrial Engineering (2024) Vol. 191, pp. 110114-110114
Closed Access | Times Cited: 14
Pulse-diagnosis-inspired multi-feature extraction deep network for short-term electricity load forecasting
Han Wu, Yan Liang, Jiani Heng
Applied Energy (2023) Vol. 339, pp. 120995-120995
Closed Access | Times Cited: 21
Multi-energy load forecasting for integrated energy system based on sequence decomposition fusion and factors correlation analysis
Daogang Peng, Yü Liu, Danhao Wang, et al.
Energy (2024) Vol. 308, pp. 132796-132796
Closed Access | Times Cited: 5
A power load forecasting method in port based on VMD-ICSS-hybrid neural network
Kai Ma, Xuefeng Nie, Jie Yang, et al.
Applied Energy (2024) Vol. 377, pp. 124246-124246
Closed Access | Times Cited: 5
Ensemble models of TCN-LSTM-LightGBM based on ensemble learning methods for short-term electrical load forecasting
Jianqiang Gong, Zhiguo Qu, Zhiyu Zhu, et al.
Energy (2025), pp. 134757-134757
Closed Access
NSDAR: A neural network-based model for similar day screening and electric load forecasting
Zongxi Jiang, Luliang Zhang, Tianyao Ji
Applied Energy (2023) Vol. 349, pp. 121647-121647
Closed Access | Times Cited: 12
Integrated loads forecasting with absence of crucial factors
Rong Hu, Kaile Zhou, Xinhui Lu
Energy (2025), pp. 135632-135632
Closed Access
Multi-prediction of electric load and photovoltaic solar power in grid-connected photovoltaic system using state transition method
Hu Wang, Lei Mao, Heng Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122138-122138
Closed Access | Times Cited: 10
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
Weijia Yang, Sarah Sparrow, David Wallom
Applied Energy (2024) Vol. 368, pp. 123365-123365
Open Access | Times Cited: 3
Left-right brain interaction inspired bionic deep network for forecasting significant wave height
Han Wu, Yan Liang, Xiao‐Zhi Gao
Energy (2023) Vol. 278, pp. 127995-127995
Closed Access | Times Cited: 9
Seasonal Short-Term Load Forecasting for Power Systems Based on Modal Decomposition and Feature-Fusion Multi-Algorithm Hybrid Neural Network Model
Jiachang Liu, Zhengwei Huang, Junfeng Xiang, et al.
Energy Engineering (2024) Vol. 121, Iss. 11, pp. 3461-3486
Open Access | Times Cited: 2
Comparative Study of Electrical Loads Forecasting Based on Hybrid Approaches: Discrete Wavelet Transforms with Adaboost and LSTM
Kabe Moyème, Bokovi Yao, Kwami Senam Sedzro, et al.
(2024)
Open Access | Times Cited: 1
Robust-mv-M-LSTM-CI: Robust Energy Consumption Forecasting in Commercial Buildings during the COVID-19 Pandemic
Tan Ngoc Dinh, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6699-6699
Open Access | Times Cited: 1
A Short-Term Power Load Forecasting Method of Based on the CEEMDAN-MVO-GRU
Taorong Jia, Yao Lixiao, Guoqing Yang, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16460-16460
Open Access | Times Cited: 5
Digital Evaluation of Cigarette Smoke Clumping Based on Aerosol Particle Analysis
Lei Jiao, Shishuan Guan, K. Wu, et al.
IEEE Access (2024) Vol. 12, pp. 105716-105723
Open Access
Hourly electrical load estimates in a 100% renewable scenario in Italy
Fulvio Paolo Buzzi, Aldo Bischi, Roberto Gabbrielli, et al.
Renewable Energy (2024), pp. 122089-122089
Closed Access
Study on Load Prediction Based on the MPGA-BP Neural Network Model
Meiyue Li, Xiu Ji, Hui Wang, et al.
2021 China Automation Congress (CAC) (2023), pp. 6109-6114
Closed Access | Times Cited: 1
Hourly Electrical Load Estimates in a 100% Renewable Scenario
Fulvio Paolo Buzzi, Aldo Bischi, Roberto Gabbrielli, et al.
(2023)
Closed Access
A Comparative Climate-Resilient Energy Design: Wildfire Resilient Load Forecasting Model Using Multi-Factor Deep Learning Methods
Weijia Yang, Sarah Sparrow, David Wallom
(2023)
Closed Access
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