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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:

Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings
Prashant Anand, Chirag Deb, Ke Yan, et al.
Energy and Buildings (2021) Vol. 252, pp. 111478-111478
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
Ning Jin, Fan Yang, Yuchang Mo, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101442-101442
Closed Access | Times Cited: 111
Applications of reinforcement learning for building energy efficiency control: A review
Qiming Fu, Zhicong Han, Jianping Chen, et al.
Journal of Building Engineering (2022) Vol. 50, pp. 104165-104165
Closed Access | Times Cited: 107
Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms
Hainan Yan, Ke Yan, Guohua Ji
Building and Environment (2022) Vol. 218, pp. 109081-109081
Closed Access | Times Cited: 73
Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8814-8814
Open Access | Times Cited: 47
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: 22
AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, Rasa Džiugaitė-Tumėnienė
Energies (2024) Vol. 17, Iss. 17, pp. 4277-4277
Open Access | Times Cited: 13
Influence of Thermal Comfort on Energy Consumption for Building Occupants: The Current State of the Art
Victor Adetunji Arowoiya, Adetayo Onososen, Robert Moehler, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1310-1310
Open Access | Times Cited: 11
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 10
BO-STA-LSTM: Building energy prediction based on a Bayesian Optimized Spatial-Temporal Attention enhanced LSTM method
Guannan Li, Yong Wang, Chengliang Xu, et al.
Developments in the Built Environment (2024) Vol. 18, pp. 100465-100465
Open Access | Times Cited: 9
A Digital Twin Framework to Improve Urban Sustainability and Resiliency: The Case Study of Venice
Lorenzo Villani, Luca Gugliermetti, Maria Antonia Barucco, et al.
Land (2025) Vol. 14, Iss. 1, pp. 83-83
Open Access | Times Cited: 1
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: 29
Enhancing building energy consumption prediction introducing novel occupant behavior models with sparrow search optimization and attention mechanisms: A case study for forty-five buildings in a university community
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy (2024) Vol. 294, pp. 130896-130896
Closed Access | Times Cited: 8
Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114133-114133
Closed Access | Times Cited: 8
Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule
Han-Saem Park, Dong Yoon Park, Byeongjoon Noh, et al.
Building and Environment (2022) Vol. 218, pp. 109060-109060
Closed Access | Times Cited: 26
Short-term building energy consumption prediction strategy based on modal decomposition and reconstruction algorithm
Yinghao Jiao, Zhi Tan, De Zhang, et al.
Energy and Buildings (2023) Vol. 290, pp. 113074-113074
Closed Access | Times Cited: 16
Comparative Analysis of Data-Driven Techniques to Predict Heating and Cooling Energy Requirements of Poultry Buildings
Erdem Küçüktopçu
Buildings (2023) Vol. 13, Iss. 1, pp. 142-142
Open Access | Times Cited: 15
Improving building energy consumption prediction using occupant-building interaction inputs and improved swarm intelligent algorithms
Chengyu Zhang, Liangdong Ma, Han Xing, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106671-106671
Open Access | Times Cited: 15
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Sergio Márquez-Sánchez, Jaime Calvo‐Gallego, Aiman Erbad, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4179-4179
Open Access | Times Cited: 15
Performance assessment of cross office building energy prediction in the same region using the domain adversarial transfer learning strategy
Guannan Li, Zixi Wang, Jiajia Gao, et al.
Applied Thermal Engineering (2024) Vol. 241, pp. 122357-122357
Closed Access | Times Cited: 5
A Systematic Review of Artificial Intelligence Applied to Facility Management in the Building Information Modeling Context and Future Research Directions
Rodrigo Pedral Sampaio, António Aguiar Costa, Inês Flores‐Colen
Buildings (2022) Vol. 12, Iss. 11, pp. 1939-1939
Open Access | Times Cited: 19
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 4
Scientometric mapping of global research on green retrofitting of existing buildings (GREB): Pathway towards a holistic GREB framework
Mershack Opoku Tetteh, Amos Darko, Albert P.C. Chan, et al.
Energy and Buildings (2022) Vol. 277, pp. 112532-112532
Open Access | Times Cited: 18
Enhancing Building Energy through Regularized Bayesian Neural Networks for Precise Occupancy Detection
Abdullahi Yahaya, Abdulhameed Babatunde Owolabi, Dougyoung Suh
Journal of Building Engineering (2025), pp. 112777-112777
Open Access
Personalized Federated Transfer Learning for Building Energy Forecasting via Model Ensemble with Multi-Level Masking in Heterogeneous Sensing Environment
Hakjae Kim, Sarangerel Dorjgochoo, Hansaem Park, et al.
Electronics (2025) Vol. 14, Iss. 9, pp. 1790-1790
Open Access
Systematic review on uncertainty quantification in machine learning-based building energy modeling
Xiangzhi Xu, Yu‐Chen Hu, Sez Atamturktur, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 218, pp. 115817-115817
Closed Access
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