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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:

Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths
Rodney Rick, Lilian Berton
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104998-104998
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 177
Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106041-106041
Open Access | Times Cited: 93
Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model
Congjun Rao, Yue Zhang, Jianghui Wen, et al.
Energy (2022) Vol. 263, pp. 125955-125955
Closed Access | Times Cited: 86
Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model
Xin Ma, Hongfang Lu, Minda Ma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105773-105773
Closed Access | Times Cited: 27
Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition
Juncheng Bai, Jianfeng Guo, Bingzhen Sun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106106-106106
Closed Access | Times Cited: 24
Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review
R. Mathumitha, P. Rathika, K. Manimala
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 13
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Yuvaraj Natarajan, K. R. Sri Preethaa, Girish Wadhwa, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1925-1925
Open Access | Times Cited: 9
Energy demand forecasting using convolutional neural network and modified war strategy optimization algorithm
Huanhuan Hu, Shufen Gong, Bahman Taheri
Heliyon (2024) Vol. 10, Iss. 6, pp. e27353-e27353
Open Access | Times Cited: 8
Enhancing building energy consumption prediction introducing novel occupant behavior models with sparrow search optimization and attention mechanisms: A case study for forty-five buildings in a university community
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy (2024) Vol. 294, pp. 130896-130896
Closed Access | Times Cited: 8
Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114133-114133
Closed Access | Times Cited: 7
An optimal initialisation for robust model reference adaptive PI controller for grid-tied power systems under unbalanced grid conditions
Paulo Jefferson Dias de Oliveira Evald, Guilherme Vieira Hollweg, Lucas C. Borin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106589-106589
Closed Access | Times Cited: 19
Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms
Mustafa Saglam, Catalina Spataru, Ömer Ali Karaman
Energies (2023) Vol. 16, Iss. 11, pp. 4499-4499
Open Access | Times Cited: 15
Forecasting of electricity consumption in Pakistan based on integrating machine learning algorithms and Monte Carlo simulation
Mohammad Nazir, Jinchao Li
Electrical Engineering (2025)
Closed Access
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Siamese Network-Based Prioritization for Enhanced Multi-document Summarization
Klaifer Garcia, Lilian Berton
Lecture notes in computer science (2025), pp. 400-415
Closed Access
High-Precision machining energy consumption prediction based on multi-sensor data fusion and Ns-Transformer network
Meihang Zhang, Hua Zhang, Wei Yan, et al.
Expert Systems with Applications (2025), pp. 126903-126903
Closed Access
Prediction of submarine soil dredging difficulty scale in cutter suction dredger construction with clustering-based deep learning
Yong Chen, Qiubing Ren, Mingchao Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110370-110370
Closed Access
A novel short-term load forecasting approach for data-poor areas based on K-MIFS-XGBoost and transfer-learning
Qiuyu Yang, Yuyi Lin, Shusen Kuang, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110151-110151
Closed Access | Times Cited: 4
Multi-Step Ahead Forecasting of the Energy Consumed by the Residential and Commercial Sectors in the United States Based on a Hybrid CNN-BiLSTM Model
Yifei Chen, Zhihan Fu
Sustainability (2023) Vol. 15, Iss. 3, pp. 1895-1895
Open Access | Times Cited: 11
Data-driven approaches for deriving a soft sensor in a district heating network
Aksel Johan Frafjord, Jan-Philip Radicke, Arvind Keprate, et al.
Energy (2024), pp. 130426-130426
Closed Access | Times Cited: 3
Spatial and temporal attention-based and residual-driven long short-term memory networks with implicit features
Yameng Zhang, Yan Song, Guoliang Wei
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108549-108549
Closed Access | Times Cited: 3
AE-ACG: A novel deep learning-based method for stock price movement prediction
Shicheng Li, Xiaoyong Huang, Zhonghou Cheng, et al.
Finance research letters (2023) Vol. 58, pp. 104304-104304
Closed Access | Times Cited: 8
Intersecting reinforcement learning and deep factor methods for optimizing locality and globality in forecasting: A review
João Sousa, Roberto Henriques
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108082-108082
Open Access | Times Cited: 2
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
Julius Adinkrah, Francis Kemausuor, Eric Tutu Tchao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 210, pp. 115161-115161
Closed Access | Times Cited: 2
An IDBO-optimized CNN-BiLSTM model for load forecasting in regional integrated energy systems
Zhonge Su, Guoqiang Zheng, Guodong Wang, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 110013-110013
Closed Access | Times Cited: 2
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