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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:

Short term load forecasting based on feature extraction and improved general regression neural network model
Yi Liang, Dongxiao Niu, Wei‐Chiang Hong
Energy (2018) Vol. 166, pp. 653-663
Closed Access | Times Cited: 256

Showing 1-25 of 256 citing articles:

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad, Hongcai Zhang, Biao Yan
Sustainable Cities and Society (2020) Vol. 55, pp. 102052-102052
Closed Access | Times Cited: 368
A hybrid model for building energy consumption forecasting using long short term memory networks
Nivethitha Somu, M. R. Gauthama Raman, Krithi Ramamritham
Applied Energy (2020) Vol. 261, pp. 114131-114131
Closed Access | Times Cited: 294
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
Dong Zhao, Lei Liu, Fanhua Yu, et al.
Knowledge-Based Systems (2020) Vol. 216, pp. 106510-106510
Closed Access | Times Cited: 287
Deep Learning-Based Object Detection Improvement for Tomato Disease
Yang Zhang, Chenglong Song, Dongwen Zhang
IEEE Access (2020) Vol. 8, pp. 56607-56614
Open Access | Times Cited: 226
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 184
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
Dong Zhao, Lei Liu, Fanhua Yu, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114122-114122
Closed Access | Times Cited: 183
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
Zichen Zhang, Wei‐Chiang Hong
Knowledge-Based Systems (2021) Vol. 228, pp. 107297-107297
Closed Access | Times Cited: 183
Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
Haixiang Zang, Ruiqi Xu, Lilin Cheng, et al.
Energy (2021) Vol. 229, pp. 120682-120682
Closed Access | Times Cited: 176
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network
Jiandong Duan, Peng Wang, Wentao Ma, et al.
Energy (2020) Vol. 214, pp. 118980-118980
Closed Access | Times Cited: 175
A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security
Lingling Lv, Zongyu Wu, Jinhua Zhang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 9, pp. 6474-6482
Open Access | Times Cited: 175
Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
Yusha Hu, Jigeng Li, Mengna Hong, et al.
Energy (2019) Vol. 170, pp. 1215-1227
Open Access | Times Cited: 171
A Deep Learning Method for Short-Term Residential Load Forecasting in Smart Grid
Ye Hong, Yingjie Zhou, Qibin Li, et al.
IEEE Access (2020) Vol. 8, pp. 55785-55797
Open Access | Times Cited: 148
A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization
Yeming Dai, Pei Zhao
Applied Energy (2020) Vol. 279, pp. 115332-115332
Closed Access | Times Cited: 141
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 132
Innovative Materials Science via Machine Learning
Chaochao Gao, Xin Min, Minghao Fang, et al.
Advanced Functional Materials (2021) Vol. 32, Iss. 1
Closed Access | Times Cited: 129
A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error
Jikai Duan, Mingheng Chang, Xiangyue Chen, et al.
Renewable Energy (2022) Vol. 200, pp. 788-808
Closed Access | Times Cited: 79
On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Nebojša Bačanin, Cătălin Stoean, Miodrag Živković, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1434-1434
Open Access | Times Cited: 77
Load forecasting for regional integrated energy system based on complementary ensemble empirical mode decomposition and multi-model fusion
Jian Shi, Jiashen Teh
Applied Energy (2023) Vol. 353, pp. 122146-122146
Closed Access | Times Cited: 54
Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Saima Akhtar, Sulman Shahzad, Asad Zaheer, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4060-4060
Open Access | Times Cited: 49
Pseudo-correlation problem and its solution for the transfer forecasting of short-term natural gas loads
Nan Wei, Lihua Yin, Chuang Yin, et al.
Gas Science and Engineering (2023) Vol. 119, pp. 205133-205133
Closed Access | Times Cited: 42
Load forecasting for regional integrated energy system based on two-phase decomposition and mixture prediction model
Jian Shi, Jiashen Teh, Bader Alharbi, et al.
Energy (2024) Vol. 297, pp. 131236-131236
Closed Access | Times Cited: 16
A hybrid framework for carbon trading price forecasting: The role of multiple influence factor
Hao Yan, Tian Cheng-shi
Journal of Cleaner Production (2020) Vol. 262, pp. 120378-120378
Closed Access | Times Cited: 135
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
Gabriel Trierweiler Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Engineering Applications of Artificial Intelligence (2019) Vol. 82, pp. 272-281
Closed Access | Times Cited: 130
Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings
Xiaojun Luo, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 131, pp. 109980-109980
Open Access | Times Cited: 122
Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview
Narjes Fallah, Mehdi Ganjkhani, Shahab S. Band, et al.
Energies (2019) Vol. 12, Iss. 3, pp. 393-393
Open Access | Times Cited: 113
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