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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:

Load prediction of integrated energy systems for energy saving and carbon emission based on novel multi-scale fusion convolutional neural network
Zhiwei Chen, Weicheng Zhao, Xiaoyong Lin, et al.
Energy (2023) Vol. 290, pp. 130181-130181
Closed Access | Times Cited: 19

Showing 19 citing articles:

Optimal operation of integrated energy systems considering energy trading and integrated demand response
Zhijie Xiong, Dawei Zhang, Yanfeng Wang
Energy Reports (2024) Vol. 11, pp. 3307-3316
Open Access | Times Cited: 13
Fast fluid–structure interaction simulation method based on deep learning flow field modeling
Jiawei Hu, Zihao Dou, Weiwei Zhang
Physics of Fluids (2024) Vol. 36, Iss. 4
Open Access | Times Cited: 11
Optimal scheduling and management of grid‐connected distributed resources using improved decomposition‐based many‐objective evolutionary algorithm
Ghulam Abbas, Zhi Wu, Aamir Ali
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 16, pp. 2625-2649
Open Access | Times Cited: 5
Multi-energy load forecasting for integrated energy system based on sequence decomposition fusion and factors correlation analysis
Daogang Peng, Yü Liu, Danhao Wang, et al.
Energy (2024) Vol. 308, pp. 132796-132796
Closed Access | Times Cited: 5
Data-driven prediction and uncertainty quantification of PWR Crud-Induced Power Shift using convolutional neural networks
Aidan Furlong, Farah Alsafadi, Scott Palmtag, et al.
Energy (2025), pp. 134447-134447
Open Access
Power generation efficiency and resources saving of the hydropower industry using the extended data based convolutional neural network
Jiajun Huang, Peihao Zheng, Xuan Hu, et al.
Renewable Energy (2025), pp. 122541-122541
Closed Access
Advancements in time series forecasting models: A comparative study for energy consumption prediction
Sunil Kumar Patel, Subhash Kumar, Rakesh Sharma
AIP conference proceedings (2025) Vol. 3253, pp. 030009-030009
Closed Access
A novel neural network with variable-activation-function for analytical redundancy of variable cycle engine sensors
Pengyu Ran, Xianghua Huang, Zihao Zhang, et al.
Energy (2025), pp. 135109-135109
Closed Access
Research on optimal scheduling and source-network-load correlation matching of integrated energy system considering uncertainty
Xiangyang Liu, Hao Lu, Wenjun Zhao, et al.
Energy (2025), pp. 135421-135421
Closed Access
Comparison and assessment of machine learning approaches in manufacturing applications
K. Ramesh, M. N. Indrajith, Y. S. Prasanna, et al.
Industrial Artificial Intelligence (2025) Vol. 3, Iss. 1
Open Access
Production capacity prediction based response conditions optimization of straw reforming using attention-enhanced convolutional LSTM integrating data expansion
Yongming Han, Zhiyi Li, Tingting Wei, et al.
Applied Energy (2024) Vol. 365, pp. 123253-123253
Closed Access | Times Cited: 4
Assessing Carbon Budgets and Reduction Pathways in Different Income Levels with Neural Network Forecasting
Min Yee Chin, Yuting Qin, Zheng Xuan Hoy, et al.
Energy (2024) Vol. 305, pp. 132331-132331
Closed Access | Times Cited: 3
Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework
Gongquan Zhang, Fangrong Chang, Jie Liu
Sustainable Cities and Society (2024) Vol. 114, pp. 105776-105776
Closed Access | Times Cited: 2
Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network
Jiacai Han, Pan Zeng
Computers & Electrical Engineering (2024) Vol. 119, pp. 109631-109631
Closed Access | Times Cited: 2
CNN data-driven active distribution network: Integration research of topology reconstruction and optimal scheduling in multi-source uncertain environment
Zhilin Lyu, Xiaobing Ni, Xiaoqing Bai, et al.
Energy (2024) Vol. 309, pp. 132350-132350
Closed Access | Times Cited: 1
The impact of carbon leakage from energy-saving targets: A moderating effect based on new-energy model cities
Ziling Yu, Zhe Wang, Mengjuan Ma, et al.
Applied Energy (2024) Vol. 375, pp. 124113-124113
Closed Access | Times Cited: 1
Sequence signal prediction and reconstruction for multi-energy load forecasting in integrated energy systems: A bi-level multi-task learning method
Chengchen Liao, Mao Tan, Kang Li, et al.
Energy (2024), pp. 133960-133960
Closed Access | Times Cited: 1
A Fusion Method Integrated Econometrics and Deep Learning to Improve the Interpretability of Prediction: Evidence From Chinese Carbon Emissions Forecast Based on OLS-CNN Model
Jikun Yao
Computational Economics (2024)
Open Access | Times Cited: 1
Multiple Cross-Attention and Multi-Task Learning Based Model for Multi-Energy Load Forecasting with Hybrid Time Granularities
Yunfei Zhang, Jun Shen, Jian Li, et al.
(2024)
Closed Access
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