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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:

Attention mechanism-based transfer learning model for day-ahead energy demand forecasting of shopping mall buildings
Yue Yuan, Zhihua Chen, Zhe Wang, et al.
Energy (2023) Vol. 270, pp. 126878-126878
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Powering Electricity Forecasting with Transfer Learning
Firuz Kamalov, Hana Sulieman, Sherif Moussa, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 626-626
Open Access | Times Cited: 10
An instance based multi-source transfer learning strategy for building’s short-term electricity loads prediction under sparse data scenarios
Borui Wei, Kangji Li, Shiyi Zhou, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108713-108713
Closed Access | Times Cited: 10
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
Comprehensive transferability assessment of short-term cross-building-energy prediction using deep adversarial network transfer learning
Guannan Li, Yubei Wu, Sungmin Yoon, et al.
Energy (2024) Vol. 299, pp. 131395-131395
Closed Access | Times Cited: 6
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Yifan Tang, Mostafa Rahmani Dehaghani, Pouyan Sajadi, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 5
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
CityEL: A web-based platform to support city-scale building energy efficiency based on AutoBPS
Chengcheng Song, Jingjing Yang, Zhiyuan Wang, et al.
Sustainable Cities and Society (2025), pp. 106147-106147
Closed Access
Short-Term Building Electrical Load Prediction by Peak Data Clustering and Transfer Learning Strategy
Kangji Li, Shiyi Zhou, Ming Zhao, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 686-686
Open Access
Interpretable data-driven urban building energy modeling considering inter-building effect.
Deqing Lin, Xiaodong Xu, Ke Liu, et al.
Building and Environment (2025), pp. 112688-112688
Closed Access
FTLNet: federated deep learning model for multi-horizon wind power forecasting
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study
Robert Spencer, Surangika Ranathunga, Mikael Boulic, et al.
Energy and Buildings (2025), pp. 115632-115632
Open Access
Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach
Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 2, pp. 12-12
Open Access | Times Cited: 4
Reconstructing near-water-wall temperature in coal-fired boilers using improved transfer learning and hidden layer configuration optimization
Wenyuan Xue, Yichen Lu, Zhi Wang, et al.
Energy (2024) Vol. 294, pp. 130860-130860
Closed Access | Times Cited: 4
Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 302, pp. 131814-131814
Closed Access | Times Cited: 3
Real-time automatic control of multi-energy system for smart district community: A coupling ensemble prediction model and safe deep reinforcement learning
Tobi Michael Alabi, Lin Lu, Zaiyue Yang
Energy (2024) Vol. 304, pp. 132209-132209
Closed Access | Times Cited: 3
A Hybrid Transfer Learning to Continual Learning Strategy for Improving Cross-building Energy Prediction in Data Increment Scenario
Jiahui Deng, Guannan Li, Yubei Wu, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110093-110093
Closed Access | Times Cited: 3
A review of current research on occupant-centric control for improving comfort and energy efficiency
Yue Yuan, Chengcheng Song, Liying Gao, et al.
Building Simulation (2024) Vol. 17, Iss. 10, pp. 1675-1692
Closed Access | Times Cited: 3
Short-term load forecasting by GRU neural network and DDPG algorithm for adaptive optimization of hyperparameters
Xin He, Wenlu Zhao, Zhijun Gao, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111119-111119
Closed Access | Times Cited: 3
A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction
Ling Xiao, Ruofan An, Xue Zhang
Processes (2024) Vol. 12, Iss. 4, pp. 793-793
Open Access | Times Cited: 2
Economy and carbon emissions optimization of different provinces or regions in China using an improved temporal attention mechanism based on gate recurrent unit
Cao Lian, Yongming Han, Mingfei Feng, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139827-139827
Closed Access | Times Cited: 7
Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings
Ben Jiang, Yu Li, Yacine Rezgui, et al.
Energy (2024) Vol. 299, pp. 131467-131467
Closed Access | Times Cited: 2
An integrated framework utilizing machine learning to accelerate the optimization of energy-efficient urban block forms
Ke Liu, Xiaodong Xu, Ran Zhang, et al.
Building Simulation (2024)
Closed Access | Times Cited: 2
Towards the Renovation of Energy-Intensive Building: The Impact of Lighting and Free-Cooling Retrofitting Strategies in a Shopping Mall
Laura Pompei, Fabio Nardecchia, Giorgio Viglianese, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1409-1409
Open Access | Times Cited: 6
SmartLVEnergy: An AIoT Framework for Energy Management through Distributed Processing and Sensor-Actuator Integration in Legacy Low-Voltage Systems
Rubens de Andrade Fernandes, Carlos Tavares da Costa, Raimundo Claúdio Souza Gomes, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20726-20741
Closed Access | Times Cited: 1
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