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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:

An adaptive deep-learning load forecasting framework by integrating transformer and domain knowledge
Jiaxin Gao, Yuntian Chen, Wenbo Hu, et al.
Advances in Applied Energy (2023) Vol. 10, pp. 100142-100142
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A comprehensive review on deep learning approaches for short-term load forecasting
Yavuz Eren, İbrahim Beklan Küçükdemiral
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114031-114031
Open Access | Times Cited: 68
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Yang Li, Jiting Cao, Yan Xu, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 113913-113913
Open Access | Times Cited: 61
Probabilistic load forecasting for integrated energy systems using attentive quantile regression temporal convolutional network
Han Guo, Bin Huang, Jianhui Wang
Advances in Applied Energy (2024) Vol. 14, pp. 100165-100165
Open Access | Times Cited: 8
Simplicity in dynamic and competitive electricity markets: A case study on enhanced linear models versus complex deep-learning models for day-ahead electricity price forecasting
Xuehui Mao, Shanlin Chen, Hanxin Yu, et al.
Applied Energy (2025) Vol. 383, pp. 125201-125201
Closed Access | Times Cited: 1
The impact of heat pumps on day-ahead energy community load forecasting
Leo Semmelmann, Matthias Hertel, Kevin J. Kircher, et al.
Applied Energy (2024) Vol. 368, pp. 123364-123364
Open Access | Times Cited: 8
Digital twin model for chiller fault diagnosis based on SSAE and transfer learning
Xin Ma, Fan Chen, Zhihan Wang, et al.
Building and Environment (2023) Vol. 243, pp. 110718-110718
Closed Access | Times Cited: 14
Cross-Variable Linear Integrated Enhanced Transformer for Photovoltaic Power Forecasting
Jiaxin Gao, Qinglong Cao, Yuntian Chen, et al.
(2024)
Open Access | Times Cited: 5
Deep reinforcement learning based model-free optimization for unit commitment against wind power uncertainty
G. F. Xu, Zhenjia Lin, Qiuwei Wu, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109526-109526
Open Access | Times Cited: 11
An online long-term load forecasting method: hierarchical highway network based on crisscross feature collaboration
J.M. Fan, Mingwei Zhong, Mingwei Zhong, et al.
Energy (2024) Vol. 299, pp. 131459-131459
Closed Access | Times Cited: 4
Enhanced multi-energy load forecasting via multi-task learning and GRU-attention networks in integrated energy systems
Swee‐Huay Heng
Electrical Engineering (2025)
Closed Access
Edge computing and transfer learning-based short-term load forecasting for residential and commercial buildings
Muhammad Sajid Iqbal, Muhammad Adnan
Energy and Buildings (2025) Vol. 329, pp. 115273-115273
Closed Access
Deep probabilistic solar power forecasting with Transformer and Gaussian process approximation
Binyu Xiong, Yuntian Chen, Dali Chen, et al.
Applied Energy (2025) Vol. 382, pp. 125294-125294
Closed Access
EDformer family: End-to-end multi-task load forecasting frameworks for day-ahead economic dispatch
Zhirui Tian, Weican Liu, Jiahao Zhang, et al.
Applied Energy (2025) Vol. 383, pp. 125319-125319
Closed Access
Physics-constrained wind power forecasting aligned with probability distributions for noise-resilient deep learning
Jiaxin Gao, Yong Cheng, Dongxiao Zhang, et al.
Applied Energy (2025) Vol. 383, pp. 125295-125295
Closed Access
A comprehensive investigation to enhance predictive accuracy of data-driven models applied to air-cooled condensers: From domain expertise data preprocessing to hyperparameters optimization
Mobin Mohammadi, Vahid Esfahanian
Applied Thermal Engineering (2025), pp. 125792-125792
Closed Access
Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM)
Ding Wang, Min Xu, Guangming Zhu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
PPTformer: A novel hybrid model for enhanced long-term time series forecasting with extreme value focus
Jian Liu, Junkang Guo, Lei Gao, et al.
Knowledge-Based Systems (2025), pp. 113456-113456
Closed Access
Industrial energy forecasting using dynamic attention neural networks
Nicholas Majeske, Shreyas Sunil Vaidya, Ryan Roy, et al.
Energy and AI (2025), pp. 100504-100504
Open Access
An anti-noise block and frequency-aware framework in deep learning for formation resistivity prediction by transient electromagnetic data
Yongan Zhang, Jian Li, Junfeng Zhao, et al.
Physics of Fluids (2025) Vol. 37, Iss. 4
Closed Access
A comprehensive review of physics-informed deep learning and its applications in geoenergy development
Nanzhe Wang, Yuntian Chen, Dongxiao Zhang
Deleted Journal (2025), pp. 100087-100087
Closed Access
Carbon-billed future for virtual power plants: A comprehensive review
Guotao Wang, Zhen-Jia Lin, Yuntian Chen, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 217, pp. 115719-115719
Closed Access
Integrating domain knowledge into transformer for short-term wind power forecasting
Junhao Cheng, Xing Luo, Zhi Jin
Energy (2024), pp. 133511-133511
Closed Access | Times Cited: 3
A Deep Learning Approach for Short-Term Electricity Demand Forecasting: Analysis of Thailand Data
Ranju Kumari Shiwakoti, Chalie Charoenlarpnopparut, Kamal Chapagain
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 3971-3971
Open Access | Times Cited: 2
A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation
Jiaxin Gao, Wenbo Hu, Qinan Han, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024) Vol. 47, Iss. 7, pp. 2369-2380
Closed Access | Times Cited: 2
SDE-HNN: Accurate and Well-calibrated Forecasting using Stochastic Differential Equations
Peng Cui, Zhijie Deng, Wenbo Hu, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 19, Iss. 2, pp. 1-23
Closed Access | Times Cited: 1
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