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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:

Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
Cheng Fan, Da Yan, Fu Xiao, et al.
Building Simulation (2020) Vol. 14, Iss. 1, pp. 3-24
Open Access | Times Cited: 162

Showing 26-50 of 162 citing articles:

A statistical quantitative analysis of the correlations between socio-demographic characteristics and household occupancy patterns in residential buildings in China
Xue Liu, Shan Hu, Da Yan
Energy and Buildings (2023) Vol. 284, pp. 112842-112842
Closed Access | Times Cited: 23
Novel transformer-based self-supervised learning methods for improved HVAC fault diagnosis performance with limited labeled data
Cheng Fan, Yutian Lei, Yongjun Sun, et al.
Energy (2023) Vol. 278, pp. 127972-127972
Closed Access | Times Cited: 21
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: 7
A framework of a data-driven model for ship performance
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, et al.
Ocean Engineering (2024) Vol. 309, pp. 118486-118486
Open Access | Times Cited: 7
A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions
Cheng Fan, Meiling Chen, Rui Tang, et al.
Building Simulation (2021) Vol. 15, Iss. 2, pp. 197-211
Closed Access | Times Cited: 47
From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control
Tao Yang, Arkasama Bandyopadhyay, Zheng O’Neill, et al.
Building Simulation (2021) Vol. 15, Iss. 6, pp. 913-932
Open Access | Times Cited: 47
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context
Cheng Fan, Yutian Lei, Yongjun Sun, et al.
Energy (2021) Vol. 240, pp. 122775-122775
Closed Access | Times Cited: 45
Federated learning-based short-term building energy consumption prediction method for solving the data silos problem
Junyang Li, Chaobo Zhang, Yang Zhao, et al.
Building Simulation (2021) Vol. 15, Iss. 6, pp. 1145-1159
Closed Access | Times Cited: 45
Problem of data imbalance in building energy load prediction: Concept, influence, and solution
Chaobo Zhang, Junyang Li, Yang Zhao, et al.
Applied Energy (2021) Vol. 297, pp. 117139-117139
Closed Access | Times Cited: 43
Assessment of long short-term memory and its modifications for enhanced short-term building energy predictions
Guannan Li, Xiaowei Zhao, Cheng Fan, et al.
Journal of Building Engineering (2021) Vol. 43, pp. 103182-103182
Closed Access | Times Cited: 43
Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression
Rui Tang, Cheng Fan, Fanzhe Zeng, et al.
Building Simulation (2021) Vol. 15, Iss. 3, pp. 317-331
Open Access | Times Cited: 40
Using Google Trends as a proxy for occupant behavior to predict building energy consumption
Chun Fu, Clayton Miller
Applied Energy (2022) Vol. 310, pp. 118343-118343
Open Access | Times Cited: 34
A systematic review of building electricity use profile models
Xuyuan Kang, Jingjing An, Da Yan
Energy and Buildings (2022) Vol. 281, pp. 112753-112753
Closed Access | Times Cited: 30
Automated machine learning-based building energy load prediction method
Chaobo Zhang, Xiangning Tian, Yang Zhao, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108071-108071
Closed Access | Times Cited: 20
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts
Cheng Fan, Yiwen Lin, Marco Savino Piscitelli, et al.
Building Simulation (2023) Vol. 16, Iss. 8, pp. 1499-1517
Closed Access | Times Cited: 19
Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings
Xiao Wang, Xuyuan Kang, Jingjing An, et al.
Energy and Buildings (2023) Vol. 301, pp. 113696-113696
Closed Access | Times Cited: 19
Integrating active learning and semi-supervised learning for improved data-driven HVAC fault diagnosis performance
Cheng Fan, Qiuting Wu, Yang Zhao, et al.
Applied Energy (2023) Vol. 356, pp. 122356-122356
Closed Access | Times Cited: 19
Big Data and the Effectiveness of Tourism Marketing: A Prospective Review of the Literature
Naoual Bouhtati, Majda Kamal, Lhoussaine Alla
Lecture notes in networks and systems (2023), pp. 287-292
Closed Access | Times Cited: 17
Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning
Guannan Li, Liang Chen, Cheng Fan, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121549-121549
Closed Access | Times Cited: 16
Personalized federated learning for cross-building energy knowledge sharing: Cost-effective strategies and model architectures
Cheng Fan, Ruikun Chen, Jinhan Mo, et al.
Applied Energy (2024) Vol. 362, pp. 123016-123016
Closed Access | Times Cited: 5
Impact of practical challenges on the implementation of data-driven services for building operation: Insights from a real-life case study
John Clauß, Luis Caetano, Åsmund Bror Svinndal
Energy and Buildings (2024) Vol. 316, pp. 114310-114310
Open Access | Times Cited: 5
Challenges in predicting the impact of climate change on thermal building performance through simulation: A systematic review
Zhuocheng Duan, Pieter de Wilde, Shady Attia, et al.
Applied Energy (2025) Vol. 382, pp. 125331-125331
Open Access
Sustainable maintenance in the fourth industrial revolution
Ntebo Ngcobo, Clinton Aigbavboa, Douglas Aghimien
Elsevier eBooks (2025), pp. 49-77
Closed Access
Automated data-driven building energy load prediction method based on generative pre-trained transformers (GPT)
Chaobo Zhang, Jian Zhang, Yang Zhao, et al.
Energy (2025), pp. 134824-134824
Closed Access
Enabling efficient cross-building HVAC fault inferences through novel unsupervised domain adaptation methods
Yutian Lei, Cheng Fan, Haihui He, et al.
Building and Environment (2025), pp. 112678-112678
Closed Access

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