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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:

Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan
Yuan Gao, Zehuan Hu, Shanrui Shi, et al.
Applied Energy (2024) Vol. 359, pp. 122685-122685
Closed Access | Times Cited: 21

Showing 21 citing articles:

Exploring the spatial distribution for efficient sewage heat utilization in urban areas using the urban sewage state prediction model
Wei-An Chen, Jongyeon Lim, Shohei Miyata, et al.
Applied Energy (2024) Vol. 360, pp. 122776-122776
Closed Access | Times Cited: 6
Energy efficiency measures towards decarbonizing Japanese residential sector: Techniques, application evidence and future perspectives
Xiaoyi Zhang, Yanxue Li, Fu Xiao, et al.
Energy and Buildings (2024) Vol. 319, pp. 114514-114514
Closed Access | Times Cited: 6
Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications
Mingzhe Liu, Mingyue Guo, Yangyang Fu, et al.
Applied Energy (2024) Vol. 372, pp. 123753-123753
Closed Access | Times Cited: 5
Accelerating Reinforcement Learning controller training for building energy management: A hybrid co-simulation approach
Qi Zhou, Mingzhe Liu, Zhe Wang, et al.
Science and Technology for the Built Environment (2025), pp. 1-18
Closed Access
CCMnet: a cluster-level contrastive cross-domain framework for GIS insulation defects diagnosis
Yu Song, Rui Wang, Bin Gou, et al.
Knowledge-Based Systems (2025), pp. 113081-113081
Closed Access
Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems
Yuan Gao, Zehuan Hu, Shun Yamate, et al.
Applied Energy (2025), pp. 125387-125387
Open Access
Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA
Yuan Gao, Mingzhe Liu, Zehuan Hu, et al.
Renewable Energy (2025), pp. 122477-122477
Open Access
Transferred Long Short-Term Memory Network for River Flow Forecasting in Data-Scarce Basins
Zhenglei Xie, Wei Xu, Bing Zhu, et al.
Water Resources Management (2025)
Closed Access
Development of a rapid assessment tool for integrating thermal comfort in early design stage of energy-efficient office buildings
Wei-An Chen, Yihan Wang, Hsin-Jou Chang, et al.
Applied Energy (2024) Vol. 363, pp. 123072-123072
Closed Access | Times Cited: 4
Solar irradiance time series forecasting using auto-regressive and extreme learning methods: Influence of transfer learning and clustering
Milan Despotović, Cyril Voyant, Luis Garcia-Gutierrez, et al.
Applied Energy (2024) Vol. 365, pp. 123215-123215
Closed Access | Times Cited: 4
Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning
Yuan Gao, Zehuan Hu, Wei-An Chen, et al.
Energy (2024) Vol. 302, pp. 131863-131863
Closed Access | Times Cited: 4
A novel domain adaptation method with physical constraints for shale gas production forecasting
Liangjie Gou, Zhaozhong Yang, Chao Min, et al.
Applied Energy (2024) Vol. 371, pp. 123673-123673
Closed Access | Times Cited: 4
Temperature control strategies for fifth generation district heating and cooling systems: A review and case study
Yuhang Zhang, Mingzhe Liu, Zheng O’Neill, et al.
Applied Energy (2024) Vol. 376, pp. 124156-124156
Closed Access | Times Cited: 4
A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting
Yuan Gao, Zehuan Hu, Wei-An Chen, et al.
Applied Energy (2024) Vol. 378, pp. 124844-124844
Open Access | Times Cited: 4
TimeGPT in load forecasting: A large time series model perspective
Wenlong Liao, Shouxiang Wang, Dechang Yang, et al.
Applied Energy (2024) Vol. 379, pp. 124973-124973
Open Access | Times Cited: 3
Distributed-regional photovoltaic power generation prediction with limited data: A robust autoregressive transfer learning method
Wanting Zheng, Hao Xiao, Wei Pei
Applied Energy (2024) Vol. 380, pp. 125058-125058
Closed Access | Times Cited: 2
Comparative Analysis of Reinforcement Learning Approaches for Multi-Objective Optimization in Residential Hybrid Energy Systems
Yang Xu, Yanxue Li, Weijun Gao
Buildings (2024) Vol. 14, Iss. 9, pp. 2645-2645
Open Access | Times Cited: 1
Transfer learning-based deep neural network model for performance prediction of hydrogen-fueled solid oxide fuel cells
Zeynab Salehi, Mohamadali Tofigh, A. Kharazmi, et al.
International Journal of Hydrogen Energy (2024) Vol. 99, pp. 102-111
Open Access
Deep transfer learning strategy based on TimesBlock-CDAN for predicting thermal environment and air conditioner energy consumption in residential buildings
Luning Sun, Zehuan Hu, Masayuki MAE, et al.
Applied Energy (2024) Vol. 381, pp. 125188-125188
Open Access
Distributed-Regional Photovoltaic Power Generation Prediction with Limited Data: A Robust Autoregressive Transfer Learning Method
Wanting Zheng, Hao Xiao, Wei Pei
(2024)
Closed Access
Transfer learning for renewable energy: fine-tuning and domain adaptation
Ahmet Demir, Atabak Najafı, Hakan Acaroğlu
Elsevier eBooks (2024), pp. 305-314
Closed Access
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