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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:

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

Showing 1-25 of 184 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 257
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal
Sustainable Cities and Society (2022) Vol. 85, pp. 104089-104089
Closed Access | Times Cited: 173
Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 101
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 91
Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects
Kailong Liu, Qiao Peng, Yunhong Che, et al.
Advances in Applied Energy (2022) Vol. 9, pp. 100117-100117
Open Access | Times Cited: 87
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
Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Zhengxuan Liu, Xiang Zhang, Ying Sun, et al.
Energy and Buildings (2023) Vol. 297, pp. 113436-113436
Open Access | Times Cited: 59
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 review on enhancing energy efficiency and adaptability through system integration for smart buildings
Um-e-Habiba, Ijaz Ahmed, Mohammad Asif, et al.
Journal of Building Engineering (2024) Vol. 89, pp. 109354-109354
Closed Access | Times Cited: 27
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
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: the HiLo case study
Davide Coraci, Alberto Silvestri, Giuseppe Razzano, et al.
Energy and Buildings (2025) Vol. 329, pp. 115254-115254
Open Access | Times Cited: 2
Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries
Guangheng Qi, Guangwen Du, Kai Wang
Ionics (2025) Vol. 31, Iss. 3, pp. 2337-2349
Closed Access | Times Cited: 1
Constrained Deep Reinforcement Transfer Learning for Short-Term Forecasting of Wind Discrepancies at Ocean Stations
Jun Zhang, Yaoran Chen, Hang Pan, et al.
Neurocomputing (2025), pp. 129491-129491
Closed Access | Times Cited: 1
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 in Sensor-Based Human Activity Recognition: A Survey
Sourish Gunesh Dhekane, Thomas Ploetz
ACM Computing Surveys (2025)
Closed Access | Times Cited: 1
Transformer models used for text-based question answering systems
Khalid Nassiri, Moulay A. Akhloufi
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 10602-10635
Closed Access | Times Cited: 61
Application of deep learning in facility management and maintenance for heating, ventilation, and air conditioning
Mirza Rayana Sanzana, Tomás Maul, Jing Ying Wong, et al.
Automation in Construction (2022) Vol. 141, pp. 104445-104445
Closed Access | Times Cited: 58
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 58
Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation
Dongran Song, Ziqun Li, Lei Wang, et al.
Applied Energy (2022) Vol. 312, pp. 118773-118773
Closed Access | Times Cited: 55
Virtual sensing in intelligent buildings and digitalization
Sungmin Yoon
Automation in Construction (2022) Vol. 143, pp. 104578-104578
Open Access | Times Cited: 45
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
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
Building digital twinning: Data, information, and models
Sungmin Yoon
Journal of Building Engineering (2023) Vol. 76, pp. 107021-107021
Open Access | Times Cited: 39
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
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