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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 short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
Feng Yu, Xu Xiaozhong
Applied Energy (2014) Vol. 134, pp. 102-113
Closed Access | Times Cited: 500

Showing 1-25 of 500 citing articles:

A review on genetic algorithm: past, present, and future
Sourabh Katoch, Sumit Singh Chauhan, Vijay Kumar
Multimedia Tools and Applications (2020) Vol. 80, Iss. 5, pp. 8091-8126
Open Access | Times Cited: 3028
Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems
Liying Wang, Qingjiao Cao, Zhenxing Zhang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105082-105082
Closed Access | Times Cited: 442
Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
Mengmeng Cai, Manisa Pipattanasomporn, Saifur Rahman
Applied Energy (2018) Vol. 236, pp. 1078-1088
Closed Access | Times Cited: 395
A novel genetic LSTM model for wind power forecast
Farah Shahid, Aneela Zameer, Muhammad Muneeb
Energy (2021) Vol. 223, pp. 120069-120069
Closed Access | Times Cited: 343
Forecasting of natural gas consumption with artificial neural networks
Jolanta Szoplik
Energy (2015) Vol. 85, pp. 208-220
Closed Access | Times Cited: 293
A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
Feifei He, Jianzhong Zhou, Zhong-kai Feng, et al.
Applied Energy (2019) Vol. 237, pp. 103-116
Closed Access | Times Cited: 286
Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
Shouxiang Wang, Xuan Wang, Shaomin Wang, et al.
International Journal of Electrical Power & Energy Systems (2019) Vol. 109, pp. 470-479
Closed Access | Times Cited: 286
Short-term electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm
Xiaobo Zhang, Jianzhou Wang, Kequan Zhang
Electric Power Systems Research (2017) Vol. 146, pp. 270-285
Closed Access | Times Cited: 251
Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm
Anbo Meng, Jiafei Ge, Hao Yin, et al.
Energy Conversion and Management (2016) Vol. 114, pp. 75-88
Closed Access | Times Cited: 239
Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem
Priyanka Singh, Pragya Dwivedi
Applied Energy (2018) Vol. 217, pp. 537-549
Closed Access | Times Cited: 212
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Nan Wei, Changjun Li, Xiaomei Peng, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106187-106187
Closed Access | Times Cited: 203
Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network
Yongli Wang, Yudong Wang, Yujing Huang, et al.
Applied Energy (2019) Vol. 251, pp. 113410-113410
Closed Access | Times Cited: 203
Multi-AGV scheduling for conflict-free path planning in automated container terminals
Meisu Zhong, Yongsheng Yang, Yasser Dessouky, et al.
Computers & Industrial Engineering (2020) Vol. 142, pp. 106371-106371
Closed Access | Times Cited: 199
Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model
Ioannis P. Panapakidis, Athanasios Dagoumas
Energy (2016) Vol. 118, pp. 231-245
Closed Access | Times Cited: 194
Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
Weibiao Qiao, Zhe Yang, Zhangyang Kang, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103323-103323
Closed Access | Times Cited: 180
A BP neural network model optimized by Mind Evolutionary Algorithm for predicting the ocean wave heights
Wen-Xu Wang, Ruichun Tang, Cheng Li, et al.
Ocean Engineering (2018) Vol. 162, pp. 98-107
Closed Access | Times Cited: 177
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
A review of applications of genetic algorithms in operations management
C.K.H. Lee
Engineering Applications of Artificial Intelligence (2018) Vol. 76, pp. 1-12
Closed Access | Times Cited: 173
Underestimated impact of the COVID-19 on carbon emission reduction in developing countries – A novel assessment based on scenario analysis
Qiang Wang, Shuyu Li, Rongrong Li, et al.
Environmental Research (2021) Vol. 204, pp. 111990-111990
Open Access | Times Cited: 155
Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches
Juncheng Zhu, Zhile Yang, Monjur Mourshed, et al.
Energies (2019) Vol. 12, Iss. 14, pp. 2692-2692
Open Access | Times Cited: 154
A proposed intelligent short-term load forecasting hybrid models of ANN, WNN and KF based on clustering techniques for smart grid
Hamed H. Aly
Electric Power Systems Research (2020) Vol. 182, pp. 106191-106191
Closed Access | Times Cited: 154
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
Moon Keun Kim, Yang‐Seon Kim, Jelena Srebric
Sustainable Cities and Society (2020) Vol. 62, pp. 102385-102385
Open Access | Times Cited: 138
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
Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling
Guo‐Feng Fan, Meng Yu, Song-Qiao Dong, et al.
Utilities Policy (2021) Vol. 73, pp. 101294-101294
Closed Access | Times Cited: 125
An assessment model for urban resilience based on the pressure-state-response framework and BP-GA neural network
Liudan Jiao, Lvwen Wang, Hao Lu, et al.
Urban Climate (2023) Vol. 49, pp. 101543-101543
Closed Access | Times Cited: 50
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