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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:

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

Showing 1-25 of 186 citing articles:

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: 171
Federated learning for smart cities: A comprehensive survey
Sharnil Pandya, Gautam Srivastava, Rutvij H. Jhaveri, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 55, pp. 102987-102987
Open Access | Times Cited: 162
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: 135
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: 100
Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 87
Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie
Sustainability (2023) Vol. 15, Iss. 9, pp. 7087-7087
Open Access | Times Cited: 83
Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions
Victor Adetunji Arowoiya, Robert C. Moehler, Yihai Fang
Energy and Built Environment (2023) Vol. 5, Iss. 5, pp. 641-656
Open Access | Times Cited: 73
Multi-agent deep reinforcement learning optimization framework for building energy system with renewable energy
Rendong Shen, Shengyuan Zhong, Xin Wen, et al.
Applied Energy (2022) Vol. 312, pp. 118724-118724
Closed Access | Times Cited: 71
Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey
Hu Wei, Kendrik Yan Hong Lim, Yiyu Cai
Buildings (2022) Vol. 12, Iss. 11, pp. 2004-2004
Open Access | Times Cited: 70
Machine learning for forecasting a photovoltaic (PV) generation system
Connor Scott, Mominul Ahsan, Alhussein Albarbar
Energy (2023) Vol. 278, pp. 127807-127807
Open Access | Times Cited: 64
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: 56
Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
Raheemat O. Yussuf, Omar S. Asfour
Energy and Buildings (2024) Vol. 305, pp. 113903-113903
Closed Access | Times Cited: 38
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: 25
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: 21
Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction
Muhammad Naqeeb Nawaz, Badee Alshameri, Zain Maqsood, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10545-10566
Closed Access | Times Cited: 18
Artificial intelligence potential for net zero sustainability: Current evidence and prospects
David B. Olawade, Ojima Z. Wada, Aanuoluwapo Clement David-Olawade, et al.
Next Sustainability (2024) Vol. 4, pp. 100041-100041
Open Access | Times Cited: 16
Recent Advances in Machine Learning for Building Envelopes: From Prediction to Optimization
LI Xue-ren, Liwei Zhang, Yin Tang, et al.
(2025)
Closed Access | Times Cited: 1
Advancing Building Intelligence: Developing and Implementing Standardized Smart Readiness Indicator (SRI) On-site Audit Procedure.
L. Martínez‐Alarcón, Theoklitos Klitou, Detlef Olschewski, et al.
Energy (2025), pp. 134538-134538
Open Access | Times Cited: 1
The impact of artificial intelligence on the energy consumption of corporations: The role of human capital
Chien‐Chiang Lee, Jinyang Zou, Pei‐Fen Chen
Energy Economics (2025), pp. 108231-108231
Closed Access | Times Cited: 1
A novel image-based transfer learning framework for cross-domain HVAC fault diagnosis: From multi-source data integration to knowledge sharing strategies
Cheng Fan, Weilin He, Yichen Liu, et al.
Energy and Buildings (2022) Vol. 262, pp. 111995-111995
Closed Access | Times Cited: 57
A Review on Optimal Energy Management in Commercial Buildings
Jahangir Hossain, Aida Fazliana Abdul Kadir, Ainain Nur Hanafi, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1609-1609
Open Access | Times Cited: 38
Power to heat: Opportunity of flexibility services provided by building energy systems
Zhengguang Liu, Yahong Chen, Xiaohu Yang, et al.
Advances in Applied Energy (2023) Vol. 11, pp. 100149-100149
Open Access | Times Cited: 31
Domain knowledge decomposition of building energy consumption and a hybrid data-driven model for 24-h ahead predictions
Xinbin Liang, Siliang Chen, Xu Zhu, et al.
Applied Energy (2023) Vol. 344, pp. 121244-121244
Closed Access | Times Cited: 28
A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework
Abdulrahim Ali, Raja Jayaraman, Elie Azar, et al.
Building and Environment (2024) Vol. 252, pp. 111268-111268
Closed Access | Times Cited: 13
Triboelectric Nanogenerator‐Enabled Digital Twins in Civil Engineering Infrastructure 4.0: A Comprehensive Review
Yafeng Pang, Tianyiyi He, Shuainian Liu, et al.
Advanced Science (2024) Vol. 11, Iss. 20
Open Access | Times Cited: 9
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