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:
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
Yue Pan, Yuxuan Shen, Jianjun Qin, et al.
Automation in Construction (2024) Vol. 166, pp. 105598-105598
Closed Access | Times Cited: 14
Showing 14 citing articles:
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
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 27
BIM-based building performance assessment of green buildings - A case study from China
Yang Liu, Witold Pedrycz, Muhammet Deveci, et al.
Applied Energy (2024) Vol. 373, pp. 123977-123977
Open Access | Times Cited: 15
Yang Liu, Witold Pedrycz, Muhammet Deveci, et al.
Applied Energy (2024) Vol. 373, pp. 123977-123977
Open Access | Times Cited: 15
Spatiotemporal deep learning for multi-attribute prediction of excavation-induced risk
Yue Pan, He Wen, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 105964-105964
Closed Access
Yue Pan, He Wen, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 105964-105964
Closed Access
Automatic Generation of Precast Concrete Component Fabrication Drawings Based on BIM and Multi-Agent Reinforcement Learning
Chao Zhang, Xuhong Zhou, Cheng‐Ran Xu, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 284-284
Open Access
Chao Zhang, Xuhong Zhou, Cheng‐Ran Xu, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 284-284
Open Access
Image-based prediction for enclosure structure deformation in pipe-roof tunnel construction using a physical-guided and generative deep learning method
Cheng Zhang, Yue Pan, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 106002-106002
Closed Access
Cheng Zhang, Yue Pan, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 106002-106002
Closed Access
A reinforcement learning-assisted search and rescue resource allocation decision-making approach for maritime emergencies
Jie Wu, Zhiyong Wang, Yanjie Song, et al.
Computers & Industrial Engineering (2025) Vol. 201, pp. 110933-110933
Closed Access
Jie Wu, Zhiyong Wang, Yanjie Song, et al.
Computers & Industrial Engineering (2025) Vol. 201, pp. 110933-110933
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
Wen He, Yue Pan, Yongmao Hou, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106437-106437
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
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access
Prediction and optimization of structural performance of prefabricated bridges based on physical information neural network (PINN) and BlM
Bo Yang, Zhang Han, Ming Yang
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Bo Yang, Zhang Han, Ming Yang
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Research on Diagnosis and Assessment Processes and Methods for Existing Residential Buildings Based on Intelligent Assistance Models
C.S. Liu, Qiong Zhang, Yue Fan, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3062-3062
Open Access | Times Cited: 2
C.S. Liu, Qiong Zhang, Yue Fan, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3062-3062
Open Access | Times Cited: 2
Sustainability evaluation of green building construction based on a combination method of weighting and improved matter-element extension
Yuanlu Qiao, Jingpeng Wang, Youguo Wang
AIMS Mathematics (2024) Vol. 9, Iss. 9, pp. 24418-24442
Open Access | Times Cited: 1
Yuanlu Qiao, Jingpeng Wang, Youguo Wang
AIMS Mathematics (2024) Vol. 9, Iss. 9, pp. 24418-24442
Open Access | Times Cited: 1
Optimizing business strategies for carbon energy management in buildings: a machine learning approach in economics and management
Hong Zhang, Tasawer Abbas, Yousef Zandi, et al.
Carbon letters (2024)
Closed Access | Times Cited: 1
Hong Zhang, Tasawer Abbas, Yousef Zandi, et al.
Carbon letters (2024)
Closed Access | Times Cited: 1
A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning
Zemin Eitan Liu, Wennan Long, Zhenlin Chen, et al.
Energy and AI (2024), pp. 100434-100434
Open Access | Times Cited: 1
Zemin Eitan Liu, Wennan Long, Zhenlin Chen, et al.
Energy and AI (2024), pp. 100434-100434
Open Access | Times Cited: 1
A multi-objective window placement approach using BIM and surrogate model
Shenghua Zhou, Xinru Man, De Z. Li, et al.
Developments in the Built Environment (2024), pp. 100578-100578
Open Access
Shenghua Zhou, Xinru Man, De Z. Li, et al.
Developments in the Built Environment (2024), pp. 100578-100578
Open Access
Applications of Deep Reinforcement Learning for Home Energy Management Systems: A Review
Dominik Latoń, Jakub Grela, Andrzej Ożadowicz
Energies (2024) Vol. 17, Iss. 24, pp. 6420-6420
Open Access
Dominik Latoń, Jakub Grela, Andrzej Ożadowicz
Energies (2024) Vol. 17, Iss. 24, pp. 6420-6420
Open Access
