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:
Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization
Ilyass Abouelaziz, Youssef Jouane
Building Simulation (2023) Vol. 17, Iss. 2, pp. 189-205
Open Access | Times Cited: 7
Ilyass Abouelaziz, Youssef Jouane
Building Simulation (2023) Vol. 17, Iss. 2, pp. 189-205
Open Access | Times Cited: 7
Showing 7 citing articles:
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
LI Xue-ren, Liwei Zhang, Yin Tang, et al.
(2025)
Closed Access | Times Cited: 1
Optimized design and performance study of hybrid energy systems for building clusters based on image recognition and generative models: A case study of office parks
Yixin Dong, Li Zhu, Jiayi Sun, et al.
Energy and Buildings (2025), pp. 115438-115438
Closed Access
Yixin Dong, Li Zhu, Jiayi Sun, et al.
Energy and Buildings (2025), pp. 115438-115438
Closed Access
Proyectos preliminares relacionados con LC, BIM e IA en la industria de construcción
Glenda Maribel García Rodríguez, Andrés F. Álvarez Sanabria, Jorge Andrés Sarmiento Rojas
Ingeniería y Competitividad (2025) Vol. 27, Iss. 1
Closed Access
Glenda Maribel García Rodríguez, Andrés F. Álvarez Sanabria, Jorge Andrés Sarmiento Rojas
Ingeniería y Competitividad (2025) Vol. 27, Iss. 1
Closed Access
Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: data generation, incremental learning, transfer learning, and physics-informed
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
BIM and IFC Data Readiness for AI Integration in the Construction Industry: A Review Approach
Shuzhang Du, Lei Hou, Guomin Zhang, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3305-3305
Open Access
Shuzhang Du, Lei Hou, Guomin Zhang, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3305-3305
Open Access
A review on artificial intelligence applications for facades
Ayça Duran, Christoph Waibel, Valeria Piccioni, et al.
Building and Environment (2024), pp. 112310-112310
Open Access
Ayça Duran, Christoph Waibel, Valeria Piccioni, et al.
Building and Environment (2024), pp. 112310-112310
Open Access
Leveraging Synthetic Data to Empower AI Models to Predict Photovoltaic Energy Production to Aid in the Decarbonization of Buildings
Youssef Jouane, Saddik Imad, Sow Cheikh Mame, et al.
(2024), pp. 156-160
Closed Access
Youssef Jouane, Saddik Imad, Sow Cheikh Mame, et al.
(2024), pp. 156-160
Closed Access
