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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:

Hybrid filter–wrapper feature selection for short-term load forecasting
Zhongyi Hu, Yukun Bao, Tao Xiong, et al.
Engineering Applications of Artificial Intelligence (2015) Vol. 40, pp. 17-27
Closed Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

Electricity load forecasting by an improved forecast engine for building level consumers
Yang Liu, Wang Wei, Noradin Ghadimi
Energy (2017) Vol. 139, pp. 18-30
Closed Access | Times Cited: 382
Forecasting methods in energy planning models
Kumar Biswajit Debnath, Monjur Mourshed
Renewable and Sustainable Energy Reviews (2018) Vol. 88, pp. 297-325
Open Access | Times Cited: 298
A New Feature Selection Technique for Load and Price Forecast of Electrical Power Systems
Oveis Abedinia, Nima Amjady, Hamidreza Zareipour
IEEE Transactions on Power Systems (2016) Vol. 32, Iss. 1, pp. 62-74
Closed Access | Times Cited: 253
A novel multivariate filter method for feature selection in text classification problems
Mahdieh Labani, Parham Moradi, Fardin Ahmadizar, et al.
Engineering Applications of Artificial Intelligence (2018) Vol. 70, pp. 25-37
Closed Access | Times Cited: 207
A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
Neethu Mohan, K. P. Soman, S. Sachin Kumar
Applied Energy (2018) Vol. 232, pp. 229-244
Closed Access | Times Cited: 178
Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
Guo‐Feng Fan, Li‐Ling Peng, Wei‐Chiang Hong
Applied Energy (2018) Vol. 224, pp. 13-33
Closed Access | Times Cited: 173
Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection
Ke Chen, Fengyu Zhou, Xianfeng Yuan
Expert Systems with Applications (2019) Vol. 128, pp. 140-156
Closed Access | Times Cited: 172
An enhanced black widow optimization algorithm for feature selection
Gang Hu, Bo Du, Xiaofeng Wang, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107638-107638
Closed Access | Times Cited: 156
A two-layer feature selection method using Genetic Algorithm and Elastic Net
Fatemeh Amini, Guiping Hu
Expert Systems with Applications (2020) Vol. 166, pp. 114072-114072
Open Access | Times Cited: 140
An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems
Guangdong Xue, Qin Chang, Jian Wang, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 7, pp. 2167-2181
Open Access | Times Cited: 84
A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model
Xinyi Chen, Kwok‐wing Chau, A.O. Busari
Engineering Applications of Artificial Intelligence (2015) Vol. 46, pp. 258-268
Closed Access | Times Cited: 168
A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks
George Sideratos, A. Ikonomopoulos, Nikos Hatziargyriou
Electric Power Systems Research (2019) Vol. 178, pp. 106025-106025
Closed Access | Times Cited: 143
Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms
Tao Xiong, Yukun Bao, Zhongyi Hu, et al.
Information Sciences (2015) Vol. 305, pp. 77-92
Closed Access | Times Cited: 127
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: 114
A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting
Ping Jiang, Feng Liu, Yiliao Song
Energy (2016) Vol. 119, pp. 694-709
Closed Access | Times Cited: 112
A graph theoretic approach for unsupervised feature selection
Parham Moradi, Mehrdad Rostami
Engineering Applications of Artificial Intelligence (2015) Vol. 44, pp. 33-45
Closed Access | Times Cited: 100
A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making
Shin‐Jye Lee, Zhaozhao Xu, Tong Li, et al.
Journal of Biomedical Informatics (2017) Vol. 78, pp. 144-155
Open Access | Times Cited: 94
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system
Jianzhou Wang, Feng Liu, Yiliao Song, et al.
Applied Soft Computing (2016) Vol. 48, pp. 281-297
Closed Access | Times Cited: 89
Hybrid fast unsupervised feature selection for high-dimensional data
Zhaleh Manbari, Fardin Akhlaghian Tab, Chiman Salavati
Expert Systems with Applications (2019) Vol. 124, pp. 97-118
Closed Access | Times Cited: 82
Proposition of New Ensemble Data-Intelligence Models for Surface Water Quality Prediction
Ali Omran Al-Sulttani, Mustafa Al-Mukhtar, Ali B. Roomi, et al.
IEEE Access (2021) Vol. 9, pp. 108527-108541
Open Access | Times Cited: 77
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng, et al.
Energy (2021) Vol. 239, pp. 122245-122245
Open Access | Times Cited: 75
Short-term electric power load forecasting using random forest and gated recurrent unit
Venkataramana Veeramsetty, K Rajeshwar Reddy, M Santhosh, et al.
Electrical Engineering (2021) Vol. 104, Iss. 1, pp. 307-329
Closed Access | Times Cited: 68
Artificial intelligence for load forecasting: A stacking learning approach based on ensemble diversity regularization
Jiaqi Shi, Chenxi Li, Xiaohe Yan
Energy (2022) Vol. 262, pp. 125295-125295
Closed Access | Times Cited: 61
A hybrid feature selection approach based on information theory and dynamic butterfly optimization algorithm for data classification
Anurag Tiwari, Amrita Chaturvedi
Expert Systems with Applications (2022) Vol. 196, pp. 116621-116621
Closed Access | Times Cited: 57
A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection
Changting Zhong, Gang Li, Zeng Meng, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106520-106520
Open Access | Times Cited: 41
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