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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:

Platform design for lifelog-based smart lighting control
Youn-Joo Cho, Jiyoung Seo, Heesu Lee, et al.
Building and Environment (2020) Vol. 185, pp. 107267-107267
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

An overview of machine learning applications for smart buildings
Kari Alanne, Seppo Sierla
Sustainable Cities and Society (2021) Vol. 76, pp. 103445-103445
Open Access | Times Cited: 193
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Aji Gautama Putrada, Maman Abdurohman, Doan Perdana, et al.
IEEE Access (2022) Vol. 10, pp. 45137-45178
Open Access | Times Cited: 52
AI-Driven Urban Energy Solutions—From Individuals to Society: A Review
Kinga Stecuła, Radosław Wolniak, Wieslaw Grebski
Energies (2023) Vol. 16, Iss. 24, pp. 7988-7988
Open Access | Times Cited: 38
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: 28
Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks
Yusi Cheng, Fang Chen, Jingfeng Yuan, et al.
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8545-8545
Open Access | Times Cited: 49
Machine Learning Applications for Smart Building Energy Utilization: A Survey
Matti Huotari, Avleen Malhi, Kary Främling
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2537-2556
Open Access | Times Cited: 5
An innovative approach to lighting design: implementing computer vision algorithms for dynamic light environments
Hui Zhang
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Cloud-based lighting control systems: Fatigue analysis and recommended luminous environments
Seri Choi, An-Seop Choi, Minki Sung
Building and Environment (2022) Vol. 214, pp. 108947-108947
Closed Access | Times Cited: 22
From needs to control: a review of indicators and sensing technologies for occupant-centric smart lighting systems
Yuxiao Wang, Xin Zhang, Hongwei Chen
Energy and Buildings (2025), pp. 115740-115740
Closed Access
An automated control of daylight blinds and artificial lighting integrated scheme for therapeutic use
Yaodong Chen, Yudong Guo, Qiuping Liu, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106851-106851
Closed Access | Times Cited: 9
Recommendation of indoor luminous environment for occupants using big data analysis based on machine learning
Jiyoung Seo, An-Seop Choi, Minki Sung
Building and Environment (2021) Vol. 198, pp. 107835-107835
Closed Access | Times Cited: 22
Analysis of the opportunities and costs of energy saving in lightning system of library buildings with the aid of building information modelling and Internet of things
Zhida Shao, Li Yu, Pumiao Huang, et al.
Fuel (2023) Vol. 352, pp. 128918-128918
Closed Access | Times Cited: 7
Overview of smart home concepts through energy management systems, numerical research, and future perspective
Mehmet Büyük, Ercan Avşar, Mustafa İncı
Energy Sources Part A Recovery Utilization and Environmental Effects (2022), pp. 1-26
Closed Access | Times Cited: 12
Future trends in intelligent lighting control systems: Integrated technologies, multi-system linkage and AI integration
Jiaxin Chen, Jingjing An, Da Yan, et al.
Building Simulation (2024) Vol. 17, Iss. 11, pp. 1909-1932
Closed Access | Times Cited: 2
A Distributed Intelligent Lighting Control System Based on Deep Reinforcement Learning
Peixin Fang, Ming Wang, Jingzheng Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9057-9057
Open Access | Times Cited: 6
Psychological Factors Behind Innovation Adoption: Affordance Actualisation Model
Shi-Zhu Liang, Meng‐Hsiang Hsu, Weihong Chen
Journal of Computer Information Systems (2022) Vol. 63, Iss. 5, pp. 1228-1242
Open Access | Times Cited: 8
A Lifelog Management Model Based on Events
亮 陈
Computer Science and Application (2024) Vol. 14, Iss. 01, pp. 29-40
Closed Access | Times Cited: 1
Recommender systems and reinforcement learning for human-building interaction and context aware support: A text mining-driven review of scientific literature
Wenhao Zhang, Matías Quintana, Clayton Miller
Energy and Buildings (2024), pp. 115247-115247
Closed Access | Times Cited: 1
Empirical BAC factors method application to two real case studies in South Italy
Marina Bonomolo, Gaetano Zizzo, Simone Ferrari, et al.
Energy (2021) Vol. 236, pp. 121498-121498
Open Access | Times Cited: 10
A Data-Driven Personalized Lighting Recommender System
Atousa Zarindast, Jonathan Wood
Frontiers in Big Data (2021) Vol. 4
Open Access | Times Cited: 10
A Comprehensive Exploration of Smart Lighting Aspects: Area of Use, Methodologies and Purposes
Giuseppe Parise, Mostafa Kermani, Georges Zissis, et al.
2022 IEEE Industry Applications Society Annual Meeting (IAS) (2023)
Open Access | Times Cited: 3
User Behavior Prediction Method Based on Fusion of CNN and Bi LSTM
璐娜 于
Computer Science and Application (2024) Vol. 14, Iss. 08, pp. 121-133
Closed Access
Simulation and Comparison of Controller Strategy for Artificial Lighting for Indoor Lighting System
L Brinda, Kotebavi Pavan Vasant, Dhanashree Bhate, et al.
2022 International Conference for Advancement in Technology (ICONAT) (2023), pp. 1-6
Closed Access | Times Cited: 1
Powering Efficiency: Exploring Artificial Intelligence for Real-time Energy Management in Buildings
Mohammed Rizvi
Journal of Engineering Research and Reports (2023) Vol. 25, Iss. 3, pp. 7-12
Open Access | Times Cited: 1
Methodology for Creating Personalized Adaptive Lighting Systems for Round-the-Clock Shift Workers
Daria A. Klimova, Svetlana V. Roslyakova, Ilya M. FILIPPOV, et al.
Light & Engineering (2023), Iss. 05-2023, pp. 18-29
Closed Access | Times Cited: 1
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