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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:

A hybrid deep transfer learning strategy for short term cross-building energy prediction
Xi Fang, Guangcai Gong, Guannan Li, et al.
Energy (2020) Vol. 215, pp. 119208-119208
Closed Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Giuseppe Pinto, Zhe Wang, Abhishek Roy, et al.
Advances in Applied Energy (2022) Vol. 5, pp. 100084-100084
Open Access | Times Cited: 184
Building energy prediction using artificial neural networks: A literature survey
Chujie Lu, Sihui Li, Zhengjun Lu
Energy and Buildings (2021) Vol. 262, pp. 111718-111718
Closed Access | Times Cited: 146
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Aya Nabil Sayed, Yassine Himeur, Fayçal Bensaali
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105254-105254
Open Access | Times Cited: 88
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104059-104059
Open Access | Times Cited: 86
Deep reinforcement learning optimal control strategy for temperature setpoint real-time reset in multi-zone building HVAC system
Xi Fang, Guangcai Gong, Guannan Li, et al.
Applied Thermal Engineering (2022) Vol. 212, pp. 118552-118552
Closed Access | Times Cited: 84
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
Davide Coraci, Silvio Brandi, Tianzhen Hong, et al.
Applied Energy (2023) Vol. 333, pp. 120598-120598
Open Access | Times Cited: 53
A multi-source transfer learning model based on LSTM and domain adaptation for building energy prediction
Huiming Lu, Jiazheng Wu, Yingjun Ruan, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 149, pp. 109024-109024
Closed Access | Times Cited: 45
A systematic review and comprehensive analysis of building occupancy prediction
Tao Li, Xiangyu Liu, Guannan Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 193, pp. 114284-114284
Closed Access | Times Cited: 21
Transfer learning in building dynamics prediction
Gaurav Chaudhary, Hicham Johra, Laurent Georges, et al.
Energy and Buildings (2025), pp. 115384-115384
Open Access | Times Cited: 1
Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency
Xu Zhu, Kang Chen, Burkay Anduv, et al.
Building and Environment (2021) Vol. 200, pp. 107957-107957
Closed Access | Times Cited: 86
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Majdi Mansouri, Mohamed Trabelsi, Hazem Nounou, et al.
IEEE Access (2021) Vol. 9, pp. 126286-126306
Open Access | Times Cited: 86
Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors
Han-Saem Park, Dong Yoon Park
Building and Environment (2021) Vol. 207, pp. 108492-108492
Closed Access | Times Cited: 55
Transfer learning network for nuclear power plant fault diagnosis with unlabeled data under varying operating conditions
Jiangkuan Li, Meng Lin, Yankai Li, et al.
Energy (2022) Vol. 254, pp. 124358-124358
Closed Access | Times Cited: 47
A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
Sunil Kumar Mohapatra, Sushruta Mishra, Hrudaya Kumar Tripathy, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102697-102697
Closed Access | Times Cited: 47
A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
Seppo Sierla, Mahdi Pourakbari‐Kasmaei, Valeriy Vyatkin
Automation in Construction (2022) Vol. 136, pp. 104174-104174
Open Access | Times Cited: 45
High-accuracy prediction and compensation of industrial robot stiffness deformation
Congcong Ye, Jixiang Yang, Han Ding
International Journal of Mechanical Sciences (2022) Vol. 233, pp. 107638-107638
Closed Access | Times Cited: 42
Cross temporal-spatial transferability investigation of deep reinforcement learning control strategy in the building HVAC system level
Xi Fang, Guangcai Gong, Guannan Li, et al.
Energy (2022) Vol. 263, pp. 125679-125679
Open Access | Times Cited: 42
Performance evaluation of sequence-to-sequence-Attention model for short-term multi-step ahead building energy predictions
Guannan Li, Fan Li, Tanveer Ahmad, et al.
Energy (2022) Vol. 259, pp. 124915-124915
Closed Access | Times Cited: 40
Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change
Hainan Yan, Guohua Ji, Ke Yan
Building and Environment (2022) Vol. 226, pp. 109735-109735
Closed Access | Times Cited: 40
Data-driven approach to predicting the energy performance of residential buildings using minimal input data
Ji-Hyun Seo, Seo-Hoon Kim, Sung Lee, et al.
Building and Environment (2022) Vol. 214, pp. 108911-108911
Closed Access | Times Cited: 37
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: 34
Privacy-preserving knowledge sharing for few-shot building energy prediction: A federated learning approach
Lingfeng Tang, Haipeng Xie, Xiaoyang Wang, et al.
Applied Energy (2023) Vol. 337, pp. 120860-120860
Closed Access | Times Cited: 33
An ontology-based innovative energy modeling framework for scalable and adaptable building digital twins
Jakob Bjørnskov, Muhyiddine Jradi
Energy and Buildings (2023) Vol. 292, pp. 113146-113146
Open Access | Times Cited: 26
A Review of Data-Driven Building Energy Prediction
Huiheng Liu, Jin Rui Liang, Yanchen Liu, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 532-532
Open Access | Times Cited: 24
Research on control strategy of PEMFC air supply system for power and efficiency improvement
Xi Chen, Bin Gu, Wentao Feng, et al.
Energy (2024) Vol. 304, pp. 132100-132100
Closed Access | Times Cited: 8
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