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:

BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Yuxuan Shen, Yue Pan
Applied Energy (2023) Vol. 333, pp. 120575-120575
Closed Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Building information modelling-enabled multi-objective optimization for energy consumption parametric analysis in green buildings design using hybrid machine learning algorithms
Yang Liu, Tiejun Li, Wensheng Xu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113665-113665
Closed Access | Times Cited: 38

Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
Xuerong Cui, Minhyun Lee, Choongwan Koo, et al.
Energy and Buildings (2024) Vol. 309, pp. 113997-113997
Closed Access | Times Cited: 36

Advanced informatic technologies for intelligent construction: A review
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 27

Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions
Jingyu Ran, Yubin Qiu, Jizhou Liu, et al.
Applied Thermal Engineering (2024) Vol. 241, pp. 122338-122338
Closed Access | Times Cited: 15

Deep reinforcement learning for multi-objective optimization in BIM-based green building design
Yue Pan, Yuxuan Shen, Jianjun Qin, et al.
Automation in Construction (2024) Vol. 166, pp. 105598-105598
Closed Access | Times Cited: 14

Building energy consumption optimization method based on convolutional neural network and BIM
Fang Xu, Qiaoran Liu
Alexandria Engineering Journal (2023) Vol. 77, pp. 407-417
Open Access | Times Cited: 23

Modeling and optimization method for building energy performance in the design stage
Cong Li, Youming Chen
Journal of Building Engineering (2024) Vol. 87, pp. 109019-109019
Closed Access | Times Cited: 12

Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach
Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, et al.
Applied Energy (2024) Vol. 358, pp. 122493-122493
Open Access | Times Cited: 7

Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality
Xiaojing Zhou, Yue Pan, Jianjun Qin, et al.
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105605-105605
Closed Access | Times Cited: 7

Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption
Yeqin Shen, Yubing Hu, Kai Cheng, et al.
Building Simulation (2024) Vol. 17, Iss. 5, pp. 819-838
Closed Access | Times Cited: 7

Robust multi-scale time series prediction for building carbon emissions with explainable deep learning
Chao Chen, Jing Guo, Limao Zhang, et al.
Energy and Buildings (2024) Vol. 312, pp. 114159-114159
Closed Access | Times Cited: 6

MULTI-OBJECTIVE OPTIMIZATION BASED ON SURROGATE MODELS FOR SUSTAINABLE BUILDING DESIGN: A SYSTEMATIC LITERATURE REVIEW
Alexandre Santana Cruz, Lucas Rosse Caldas, Vagner Mendes, et al.
Building and Environment (2024), pp. 112147-112147
Closed Access | Times Cited: 6

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

Multi-performance collaborative optimization of existing residential building retrofitting in extremely arid and hot climate zone: A case study in Turpan, China
Guangchao Shi, Shanshan Yao, Junkang Song, et al.
Journal of Building Engineering (2024) Vol. 89, pp. 109304-109304
Closed Access | Times Cited: 5

Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus
Hirou Karimi, Mohammad Anvar Adibhesami, Siamak Hoseinzadeh, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1342-1342
Open Access | Times Cited: 5

Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability
Tao Hai, Mohammed Suleman Aldlemy, Mohammed Ayad Saad, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109946-109946
Closed Access

Analyzing different household energy use patterns using clustering and machine learning
Xuerong Cui, Minhyun Lee, Mohammad Nyme Uddin, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115335-115335
Closed Access

Multi-objective optimization framework for generative design of horseshoe-shaped pipe arrangement in pre-stressed underground bundles
Wen He, Yue Pan, Yongmao Hou, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106437-106437
Closed Access

Developing a Green-BIM team to improve the construction of green buildings in Sri Lanka
C. Rupasinghe, K.A.T.O. Ranadewa, J.K.D.D.T. Jayanetti, et al.
Engineering Construction & Architectural Management (2025)
Closed Access

Interpretable data-driven urban building energy modeling considering inter-building effect.
Deqing Lin, Xiaodong Xu, Ke Liu, et al.
Building and Environment (2025), pp. 112688-112688
Closed Access

AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access

Enhancing Energy Performance Assessment and Labeling in Buildings: A Review of BIM-Based Approaches
Luís Filipe Muta, Ana Paula Melo, Roberto Lamberts
Journal of Building Engineering (2025), pp. 112089-112089
Closed Access

Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions
Chao Chen, Limao Zhang, Cheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115478-115478
Closed Access

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