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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:

Electrical load forecasting based on variable T-distribution and dual attention mechanism
Jianguo Wang, Lincheng Han, Xiuyu Zhang, et al.
Energy (2023) Vol. 283, pp. 128569-128569
Closed Access | Times Cited: 20

Showing 20 citing articles:

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 29
Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
Haixiang Zang, Dianhao Chen, Jingxuan Liu, et al.
Energy (2024) Vol. 293, pp. 130538-130538
Closed Access | Times Cited: 21
A combined system based on data preprocessing and optimization algorithm for electricity load forecasting
Lei Gu, Jianzhou Wang, Jingjiang Liu
Computers & Industrial Engineering (2024) Vol. 191, pp. 110114-110114
Closed Access | Times Cited: 15
A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
Huifeng Xu, Feihu Hu, Xinhao Liang, et al.
Energy (2024) Vol. 299, pp. 131258-131258
Closed Access | Times Cited: 13
A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism
Xiuying Yan, Xingxing Ji, Qinglong Meng, et al.
Energy (2024) Vol. 292, pp. 130388-130388
Closed Access | Times Cited: 11
A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting
Zhi-Feng Liu, You-Yuan Liu, Xiaorui Chen, et al.
Applied Energy (2024) Vol. 360, pp. 122785-122785
Closed Access | Times Cited: 5
Enhancing hourly electricity forecasting using fuzzy cognitive maps with sample entropy
Shoujiang Li, Jianzhou Wang, Hui Zhang, et al.
Energy (2024) Vol. 298, pp. 131429-131429
Closed Access | Times Cited: 5
Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach
Zeyu Li, Zhirui Tian
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Prediction of Short-Term Solar Irradiance Using the ProbSparse Attention Mechanism for a Sustainable Energy Development Strategy
Z. Zhuang, Huaizhi Wang, Cilong Yu
Sustainability (2025) Vol. 17, Iss. 3, pp. 1075-1075
Open Access
Advancing Short-Term Load Forecasting with decomposed Fourier ARIMA: A Case Study on the Greek Energy Market
Spyridon Karamolegkos, D.E. Koulouriotis
Energy (2025), pp. 135854-135854
Open Access
A dual-dimensionality reduction attention mechanism with fusion of high-dimensional features for wind power prediction
Liexi Xiao, Anbo Meng, Jiayu Rong, et al.
Renewable Energy (2025), pp. 122950-122950
Closed Access
Research on integrated decision making of multiple load combination forecasting for integrated energy system
Peng Gao, Yang Yang, Li Fei, et al.
Energy (2024) Vol. 311, pp. 133390-133390
Closed Access | Times Cited: 3
A hybrid approach based machine learning models in electricity markets
William Gomez, Fu‐Kwun Wang, Shih‐Che Lo
Energy (2023) Vol. 289, pp. 129988-129988
Closed Access | Times Cited: 8
Combination of feature selection methods and lightweight Transformer model for estimating the canopy water content of alpine shrub using spectral data
Yiming Wang, Cailing Wang, Bo Wang, et al.
Infrared Physics & Technology (2024) Vol. 139, pp. 105304-105304
Closed Access | Times Cited: 2
LoadNet: enhancing energy storage system integration in power system operation using temporal convolutional and recurrent models with self-attention
Minggang Liu, Xiaoxu Hu
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Multi-area short-term load forecasting based on spatiotemporal graph neural network
Yunlong Lv, Li Wang, Dunhua Long, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109398-109398
Closed Access | Times Cited: 1
Short-term load forecasting of electric vehicle charging stations based on adaptive VMD-BiLSTM
Minan Tang, Wenxin Sheng, Jiandong Qiu, et al.
Journal of Industrial and Management Optimization (2024)
Open Access | Times Cited: 1
Load forecasting based on dynamic adaptive and adversarial graph convolutional networks
Jinglu Liu, Shengai Dong, Pengfei Zhang, et al.
Energy and Buildings (2024) Vol. 312, pp. 114206-114206
Closed Access
Short-term power load forecasting based on SKDR hybrid model
Yongliang Yuan, Qingkang Yang, Jianji Ren, et al.
Electrical Engineering (2024)
Closed Access
A Short-Term Regional Net Load Prediction Method Based on Parallel Fragment Attention-BI-LSTM
Puxin Shi, Lin Geng, Mengfan Zhang, et al.
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (2023), pp. 624-629
Closed Access | Times Cited: 1
Recent Advances in Data Preprocessing and Machine Learning Approaches for Battery's State of Charge and State of Health Estimation: A Review
Xinyu Gu, Khay Wai See, Xiuze Zhou, et al.
2021 IEEE International Future Energy Electronics Conference (IFEEC) (2023), pp. 421-426
Closed Access
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