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 review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings
Xilei Dai, Junjie Liu, Xin Zhang
Energy and Buildings (2020) Vol. 223, pp. 110159-110159
Closed Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
Tanveer Ahmad, Rafał Madoński, Dongdong Zhang, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112128-112128
Closed Access | Times Cited: 331

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: 186

Interpretable machine learning for building energy management: A state-of-the-art review
Zhe Chen, Fu Xiao, Fangzhou Guo, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 153

Occupancy-based HVAC control systems in buildings: A state-of-the-art review
Mohammad Esrafilian-Najafabadi, Fariborz Haghighat
Building and Environment (2021) Vol. 197, pp. 107810-107810
Closed Access | Times Cited: 140

A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
Wuxia Zhang, Yupeng Wu, John Kaiser Calautit
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112704-112704
Open Access | Times Cited: 137

A novel occupant-centric stratum ventilation system using computer vision: Occupant detection, thermal comfort, air quality, and energy savings
Bin Yang, Yihang Liu, Pengju Liu, et al.
Building and Environment (2023) Vol. 237, pp. 110332-110332
Open Access | Times Cited: 40

State of the art review on the HVAC occupant-centric control in different commercial buildings
Guanying Huang, S. Thomas Ng, Dezhi Li, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110445-110445
Closed Access | Times Cited: 26

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: 18

Very Short-Term Chiller Energy Consumption Prediction Based on Simplified Heterogeneous Graph Convolutional Network
Kate Qi Zhou, K. N. Adeepa Fernando, Xilei Dai, et al.
Energy and Buildings (2025), pp. 115249-115249
Closed Access | Times Cited: 2

Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control
Yu Liu, Zhibo Pang, Magnus Karlsson, et al.
Building and Environment (2020) Vol. 183, pp. 107212-107212
Open Access | Times Cited: 85

Building occupancy forecasting: A systematical and critical review
Yuan Jin, Da Yan, Adrian Chong, et al.
Energy and Buildings (2021) Vol. 251, pp. 111345-111345
Closed Access | Times Cited: 68

A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings
Yue Lei, Sicheng Zhan, Eikichi Ono, et al.
Applied Energy (2022) Vol. 324, pp. 119742-119742
Closed Access | Times Cited: 63

Systematic Review Analysis on Smart Building: Challenges and Opportunities
Muhammad Saidu Aliero, Muhammad Asif, Imran Ghani, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 3009-3009
Open Access | Times Cited: 49

The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review
Evandro Eduardo Broday, Manuel Gameiro da Silva
Smart and Sustainable Built Environment (2022) Vol. 12, Iss. 3, pp. 584-606
Closed Access | Times Cited: 44

Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges
Xilei Dai, Wenzhe Shang, Junjie Liu, et al.
The Science of The Total Environment (2023) Vol. 895, pp. 164858-164858
Closed Access | Times Cited: 31

Energy management system in smart buildings based coalition game theory with fog platform and smart meter infrastructure
Mohammed A. Saeed, Abdelfattah A. Eladl, Bilal Naji Alhasnawi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 30

A literature review of cross ventilation in buildings
Zitao Jiang, Tomohiro Kobayashi, Toshio Yamanaka, et al.
Energy and Buildings (2023) Vol. 291, pp. 113143-113143
Open Access | Times Cited: 29

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

A recurrent neural network using historical data to predict time series indoor PM2.5 concentrations for residential buildings
Xilei Dai, Junjie Liu, Yongle Li
Indoor Air (2021) Vol. 31, Iss. 4, pp. 1228-1237
Open Access | Times Cited: 42

Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix
Xin Li, Yu Yang, Niaoqing Hu, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101513-101513
Closed Access | Times Cited: 33

Twin transition in the built environment – Policy mechanisms, technologies and market views from a cold climate perspective
Satu Paiho, Nina Wessberg, Maria Dubovik, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104870-104870
Open Access | Times Cited: 20

Short-Term Occupancy Forecasting for a Smart Home Using Optimized Weight Updates Based on GA and PSO Algorithms for an LSTM Network
Sameh Mahjoub, Sami Labdai, Larbi Chrifi‐Alaoui, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1641-1641
Open Access | Times Cited: 17

A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
Luca Gugliermetti, Fabrizio Cumo, Sofia Agostinelli
Energies (2024) Vol. 17, Iss. 3, pp. 700-700
Open Access | Times Cited: 5

Occupancy modeling on non-intrusive indoor environmental data through machine learning
Farzan Banihashemi, Manuel Weber, Fatma Deghim, et al.
Building and Environment (2024) Vol. 254, pp. 111382-111382
Open Access | Times Cited: 5

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