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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:

Multi-objective LSTM ensemble model for household short-term load forecasting
Chaodong Fan, Yunfan Li, Lingzhi Yi, et al.
Memetic Computing (2022) Vol. 14, Iss. 1, pp. 115-132
Closed Access | Times Cited: 19

Showing 19 citing articles:

A deep model for short-term load forecasting applying a stacked autoencoder based on LSTM supported by a multi-stage attention mechanism
Zahra Fazlipour, Elaheh Mashhour, Mahmood Joorabian
Applied Energy (2022) Vol. 327, pp. 120063-120063
Closed Access | Times Cited: 57
Long short-term memory models of water quality in inland water environments
JongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Water Research X (2023) Vol. 21, pp. 100207-100207
Open Access | Times Cited: 25
A Deep Learning Application for Deformation Prediction from Ground-Based InSAR
Jianfeng Han, Honglei Yang, Youfeng Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5067-5067
Open Access | Times Cited: 15
A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms
Min Li, Hangwei Tian, Qinghui Chen, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 5, pp. 885-898
Open Access | Times Cited: 7
PM2.5 concentration prediction model based on Random Forest and SHAP
Mengyao Pan, Bisheng Xia, Wenbo Huang, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 05
Closed Access | Times Cited: 2
Multi-step Natural Gas Price Forecasting using Ensemble Empirical Mode Decomposition and Long Short-Term Memory Hybrid Model
Herry Kartika Gandhi, Ispány Márton
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 4, pp. 590-598
Open Access | Times Cited: 1
Water quality ensemble prediction model for the urban water reservoir based on the hybrid long short-term memory (LSTM) network analysis
Kai He, Yu Liu, Jinlong Yuan, et al.
AQUA - Water Infrastructure Ecosystems and Society (2024) Vol. 73, Iss. 8, pp. 1621-1642
Open Access | Times Cited: 1
FSNet: A Hybrid Model for Seasonal Forecasting
Ahmed Rebei, Manar Amayri, Nizar Bouguila
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 2, pp. 1167-1180
Closed Access | Times Cited: 4
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 3, pp. 29-40
Open Access | Times Cited: 3
Regional Economic Forecasting Method Based on Recurrent Neural Network
Enjun Liu, Haiou Zhu, Qing Liu, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 4
A Digital Load Forecasting Method Based on Digital Twin and Improved GRU
Yu Gu, Fandi Wang, Mukun Li, et al.
2022 Asian Conference on Frontiers of Power and Energy (ACFPE) (2022) Vol. 11, pp. 462-466
Closed Access | Times Cited: 4
GRU combined model based on multi-objective optimization for short-term residential load forecasting
Lingzhi Yi, Xinlong Peng, Chaodong Fan, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 10423-10440
Closed Access
Refining Short-Term Power Load Forecasting: An Optimized Model with Long Short-Term Memory Network
Sile Hu, Wen‐Bin Cai, Jun Liu, et al.
Journal of Computing and Information Technology (2024) Vol. 31, Iss. 3, pp. 151-166
Open Access
Review of Regional Photovoltaic Power Dispatching Based on Artificial Intelligence
Jingdong Wang, Cheng Zhu, Guangqiang Qu
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2024) Vol. 04, pp. 1347-1351
Closed Access
Prediction of the Deformation of Heritage Building Communities under the Integration of Attention Mechanisms and SBAS Technology
C. Ma, Baoli Lu
Electronics (2023) Vol. 12, Iss. 23, pp. 4724-4724
Open Access | Times Cited: 1
Day-ahead Multiple Households Load Forecasting using Deep Learning and Unsupervised Clustering
Luka Budin, Ivan Duilo, Marko Delimar
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) (2022), pp. 30-35
Closed Access | Times Cited: 2
Comparison of robust machine-learning and deep-learning models for midterm electrical load forecasting
Fatma Yaprakdal, Fatih Bal
European Journal of Technic (2022)
Open Access | Times Cited: 2
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation AI Models
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Enhancing Short-Term Load Forecasting using ES-dRNN with Context Vector
Qurat-ul Ain, Sohail Iqbal
(2022), pp. 1-6
Closed Access | Times Cited: 1
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