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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:

Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting
Xiaorui Shao, Pu Chen, Yuxin Zhang, et al.
IEEE Access (2020) Vol. 8, pp. 188352-188362
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction
Davi Guimarães da Silva, Anderson Alvarenga de Moura Meneses
Energy Reports (2023) Vol. 10, pp. 3315-3334
Open Access | Times Cited: 55
Deep learning hyperparameter optimization: Application to electricity and heat demand prediction for buildings
Azita Morteza, Amir Abbas Yahyaeian, Marzieh Mirzaeibonehkhater, et al.
Energy and Buildings (2023) Vol. 289, pp. 113036-113036
Closed Access | Times Cited: 49
Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model
Dabeeruddin Syed, Haitham Abu‐Rub, Ali Ghrayeb, et al.
IEEE Access (2021) Vol. 9, pp. 33498-33511
Open Access | Times Cited: 81
Evolutionary double attention-based long short-term memory model for building energy prediction: Case study of a green building
Zhikun Ding, Weilin Chen, Ting Hu, et al.
Applied Energy (2021) Vol. 288, pp. 116660-116660
Closed Access | Times Cited: 66
Energy and Sustainable Development in Smart Cities: An Overview
Mohamed G Moh Almihat, Mohamed Tariq Kahn, Khaled M. Abo–Al–Ez, et al.
Smart Cities (2022) Vol. 5, Iss. 4, pp. 1389-1408
Open Access | Times Cited: 64
A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 37
Data-Driven Tools for Building Energy Consumption Prediction: A Review
Razak Olu-Ajayi, Hafiz Alaka, Hakeem A. Owolabi, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2574-2574
Open Access | Times Cited: 35
Application of the hybrid neural network model for energy consumption prediction of office buildings
Lize Wang, Dong Xie, Lifeng Zhou, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106503-106503
Closed Access | Times Cited: 32
Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing
Xiaorui Shao, Chang-Soo Kim
Sensors (2022) Vol. 22, Iss. 11, pp. 4156-4156
Open Access | Times Cited: 33
Multi-Convolution Feature Extraction and Recurrent Neural Network Dependent Model for Short-Term Load Forecasting
Hui Hwang Goh, Biliang He, Hui Liu, et al.
IEEE Access (2021) Vol. 9, pp. 118528-118540
Open Access | Times Cited: 38
A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption
Zhongjiao Ma, Z. Yan, M. He, et al.
AIMS energy (2025) Vol. 13, Iss. 1, pp. 35-85
Open Access
Artificial Intelligence in Renewable Energy Systems: Applications and Security Challenges
Hui Xiang, Xiaolei Li, Xiao Liao, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 1931-1931
Open Access
Comparison of energy consumption prediction models for air conditioning at different time scales for large public buildings
Jianwen Liu, Zhihong Zhai, Yuxiang Zhang, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110423-110423
Closed Access | Times Cited: 4
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 4
A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction
Khalaf Alsalem
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An end-to-end explainability framework for spatio-temporal predictive modeling
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
Machine Learning (2025) Vol. 114, Iss. 4
Open Access
A robust energy flow predictor based on CNN-LSTM for prosumer-oriented microgrids considering changes in biogas generation
Grzegorz Maślak, Przemysław Orłowski
Energy (2025), pp. 136050-136050
Closed Access
Efficient Multi-Source Self-Attention Data Fusion for FDIA Detection in Smart Grid
Yi Wu, Qiankuan Wang, Naiwang Guo, et al.
Symmetry (2023) Vol. 15, Iss. 5, pp. 1019-1019
Open Access | Times Cited: 10
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11773-11787
Open Access | Times Cited: 3
Energy storage configuration and day-ahead pricing strategy for electricity retailers considering demand response profit
Weiqing Sun, Jie Zhang, Pingliang Zeng, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107633-107633
Closed Access | Times Cited: 21
Hybrid convolutional long short‐term memory models for sales forecasting in retail
Thais de Castro Moraes, Xiaoming Yuan, Ek Peng Chew
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1278-1293
Open Access | Times Cited: 2
Statistical and Artificial Intelligence-based Tools for Building Energy Prediction: A Systematic Literature Review
Razak Olu-Ajayi, Hafiz Alaka, Funlade Sunmola, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 14733-14753
Closed Access | Times Cited: 2
Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features
Xiaorui Shao, Wang Li-jiang, Chang H. Kim, et al.
KSII Transactions on Internet and Information Systems (2021) Vol. 15, Iss. 5
Open Access | Times Cited: 15
Accurate Multi-Site Daily-Ahead Multi-Step PM2.5 Concentrations Forecasting Using Space-Shared CNN-LSTM
Xiaorui Shao, Chang Soo Kim
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 5143-5160
Open Access | Times Cited: 15
Short-Term Forecasting of Hourly Electricity Power Demand
Simona Filipova-Petrakieva, Vencislav Dochev
Engineering Technology & Applied Science Research (2022) Vol. 12, Iss. 2, pp. 8374-8381
Open Access | Times Cited: 10
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