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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:

Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm
Hongze Li, Sen Guo, Huiru Zhao, et al.
Energies (2012) Vol. 5, Iss. 11, pp. 4430-4445
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Forecasting of photovoltaic power generation and model optimization: A review
Utpal Kumar Das, Kok Soon Tey, Mehdi Seyedmahmoudian, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 912-928
Closed Access | Times Cited: 931
A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Razin Ahmed, Victor Sreeram, Yateendra Mishra, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 124, pp. 109792-109792
Closed Access | Times Cited: 834
Evolving support vector machines using fruit fly optimization for medical data classification
Shen Li-ming, Huiling Chen, Zhe Yu, et al.
Knowledge-Based Systems (2016) Vol. 96, pp. 61-75
Closed Access | Times Cited: 519
A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
Luís Hernández-Callejo, Carlos Baladrón, Javier M. Aguiar, et al.
IEEE Communications Surveys & Tutorials (2014) Vol. 16, Iss. 3, pp. 1460-1495
Closed Access | Times Cited: 467
Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
Wei‐Chiang Hong
Energy (2011) Vol. 36, Iss. 9, pp. 5568-5578
Closed Access | Times Cited: 270
A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
Abdullah Al Mamun, Md. Sohel, Naeem Mohammad, et al.
IEEE Access (2020) Vol. 8, pp. 134911-134939
Open Access | Times Cited: 252
An annual load forecasting model based on support vector regression with differential evolution algorithm
Jianjun Wang, Li Li, Dongxiao Niu, et al.
Applied Energy (2012) Vol. 94, pp. 65-70
Closed Access | Times Cited: 244
Daily PM 2.5 concentration prediction based on principal component analysis and LSSVM optimized by cuckoo search algorithm
Wei Sun, Jingyi Sun
Journal of Environmental Management (2016) Vol. 188, pp. 144-152
Closed Access | Times Cited: 223
An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine
M. R. Gauthama Raman, Nivethitha Somu, Kannan Kirthivasan, et al.
Knowledge-Based Systems (2017) Vol. 134, pp. 1-12
Closed Access | Times Cited: 222
Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions
Narjes Fallah, Ravinesh C. Deo, Mohammad Shojafar, et al.
Energies (2018) Vol. 11, Iss. 3, pp. 596-596
Open Access | Times Cited: 222
Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China
Lifeng Wu, Xiaohui Gao, Yanli Xiao, et al.
Energy (2018) Vol. 157, pp. 327-335
Closed Access | Times Cited: 204
An optimized grey model for annual power load forecasting
Huiru Zhao, Sen Guo
Energy (2016) Vol. 107, pp. 272-286
Closed Access | Times Cited: 201
Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression
Jyotirmayee Naik, Prachitara Satapathy, P.K. Dash
Applied Soft Computing (2017) Vol. 70, pp. 1167-1188
Closed Access | Times Cited: 176
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
Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review
Fanidhar Dewangan, Almoataz Y. Abdelaziz, Monalisa Biswal
Energies (2023) Vol. 16, Iss. 3, pp. 1404-1404
Open Access | Times Cited: 71
Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting
Guohua Cao, Lijuan Wu
Energy (2016) Vol. 115, pp. 734-745
Closed Access | Times Cited: 157
Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
S. Hr. Aghay Kaboli, Alireza Fallahpour, Jeyraj Selvaraj, et al.
Energy (2017) Vol. 126, pp. 144-164
Closed Access | Times Cited: 151
An improved fruit fly optimization algorithm and its application to joint replenishment problems
Lin Wang, Yuanlong Shi, Shan Liu
Expert Systems with Applications (2015) Vol. 42, Iss. 9, pp. 4310-4323
Closed Access | Times Cited: 132
A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China
Shuai Wang, Lean Yu, Ling Tang, et al.
Energy (2011) Vol. 36, Iss. 11, pp. 6542-6554
Closed Access | Times Cited: 131
Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
Maria Grazia De Giorgi, Stefano Campilongo, Antonio Ficarella, et al.
Energies (2014) Vol. 7, Iss. 8, pp. 5251-5272
Open Access | Times Cited: 130
Fruit Fly Optimization Algorithm
Bo Xing, Wen-Jing Gao
Intelligent systems reference library (2013), pp. 167-170
Closed Access | Times Cited: 119
Comparative performance analysis of fruit fly optimisation algorithm for multi‐area multi‐source automatic generation control under deregulated environment
Banaja Mohanty, Prakash Kumar Hota
IET Generation Transmission & Distribution (2015) Vol. 9, Iss. 14, pp. 1845-1855
Open Access | Times Cited: 109
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
Hui Huang, Xi’an Feng, Suying Zhou, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. S8
Open Access | Times Cited: 109
Short-Term Load Forecasting in Smart Grids: An Intelligent Modular Approach
Ashfaq Ahmad, Nadeem Javaid, Abdul Mateen, et al.
Energies (2019) Vol. 12, Iss. 1, pp. 164-164
Open Access | Times Cited: 105
Robust Optimization-Based Scheduling of Multi-Microgrids Considering Uncertainties
Akhtar Hussain, Van‐Hai Bui, Hak‐Man Kim
Energies (2016) Vol. 9, Iss. 4, pp. 278-278
Open Access | Times Cited: 95
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