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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 thermal comfort prediction in buildings
Nivethitha Somu, Anirudh Sriram, Anupama Kowli, et al.
Building and Environment (2021) Vol. 204, pp. 108133-108133
Closed Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review
Paige Wenbin Tien, Shuangyu Wei, Jo Darkwa, et al.
Energy and AI (2022) Vol. 10, pp. 100198-100198
Open Access | Times Cited: 128
Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Dian Zhuang, Vincent J.L. Gan, Zeynep Duygu Tekler, et al.
Applied Energy (2023) Vol. 338, pp. 120936-120936
Closed Access | Times Cited: 98
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: 85
Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system
Yuan Gao, Shanrui Shi, Shohei Miyata, et al.
Energy (2024) Vol. 291, pp. 130344-130344
Closed Access | Times Cited: 17
TinyML-enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis
Supriya Asutkar, Chaitravi Chalke, Kajal Shivgan, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119016-119016
Closed Access | Times Cited: 40
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: 38
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: 29
A comprehensive review of impact assessment of indoor thermal environment on work and cognitive performance - Combined physiological measurements and machine learning
Shanshan Li, Xiaoyi Zhang, Yanxue Li, et al.
Journal of Building Engineering (2023) Vol. 71, pp. 106417-106417
Closed Access | Times Cited: 26
Human-building interaction for indoor environmental control: Evolution of technology and future prospects
Hakpyeong Kim, Hyuna Kang, Heeju Choi, et al.
Automation in Construction (2023) Vol. 152, pp. 104938-104938
Closed Access | Times Cited: 26
Machine Learning for Smart and Energy-Efficient Buildings
H. Das, Yu‐Wen Lin, Utkarsha Agwan, et al.
Environmental Data Science (2024) Vol. 3
Open Access | Times Cited: 11
Artificial Neural Network Applications for Energy Management in Buildings: Current Trends and Future Directions
Panagiotis Michailidis, Iakovos Michailidis, Socratis Gkelios, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 570-570
Open Access | Times Cited: 6
Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
An ensemble strategy for transfer learning based human thermal comfort prediction: field experimental study
Kangji Li, Lei Chen, Yanpei Luo, et al.
Energy and Buildings (2025), pp. 115344-115344
Closed Access
Dynamic Personalized Thermal Comfort Model:Integrating Temporal Dynamics and Environmental Variability with Individual Preferences
Abdulrazaq AbdulRaheem, Seungho Lee, Im Y. Jung
Journal of Building Engineering (2025), pp. 111938-111938
Open Access
Transfer learning with unsupervised domain adaptation for personal thermal comfort prediction
Chuangkang Yang, Keiichiro Taniguchi, Yasunori Akashi
Energy and Buildings (2025), pp. 115449-115449
Open Access
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: 51
A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management
Francesca Villano, Gerardo Maria Mauro, Alessia Pedace
Thermo (2024) Vol. 4, Iss. 1, pp. 100-139
Open Access | Times Cited: 5
Data efficient indoor thermal comfort prediction using instance based transfer learning method
Kangji Li, Yufei Liu, Lei Chen, et al.
Energy and Buildings (2024) Vol. 306, pp. 113920-113920
Closed Access | Times Cited: 4
Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110015-110015
Closed Access | Times Cited: 4
Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies
Guannan Li, Yubei Wu, Jiangyan Liu, et al.
Energy and Buildings (2022) Vol. 275, pp. 112461-112461
Closed Access | Times Cited: 24
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: 13
Deep transfer learning strategy for efficient domain generalisation in machine fault diagnosis
Supriya Asutkar, Siddharth Tallur
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Comfort and energy consumption optimization in smart homes using bat algorithm with inertia weight
Mohamad Razwan Abdul Malek, Nor Azlina Ab. Aziz, Salem Alelyani, et al.
Journal of Building Engineering (2021) Vol. 47, pp. 103848-103848
Closed Access | Times Cited: 29
Thermal Comfort Model for HVAC Buildings Using Machine Learning
Muhammad Fayyaz, Asma Ahmad Farhan, Abdul Rehman Javed
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 2045-2060
Closed Access | Times Cited: 26
Enhancing thermal comfort through leading-edge design, monitoring, and optimization technologies: A review
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 11
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