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:

Evaluation of solar energy potential for residential buildings in urban environments based on a parametric approach
Jia Tian, Ryozo Ooka
Sustainable Cities and Society (2024) Vol. 106, pp. 105350-105350
Closed Access | Times Cited: 15

Showing 15 citing articles:

Energy efficiency measures towards decarbonizing Japanese residential sector: Techniques, application evidence and future perspectives
Xiaoyi Zhang, Yanxue Li, Fu Xiao, et al.
Energy and Buildings (2024) Vol. 319, pp. 114514-114514
Closed Access | Times Cited: 6

Atlas for sustainable Egyptian governorates buildings based on wind/solar potential: Power, efficiency, economic, environmental, and thermal comfort maps
Brian Senyonyi, Hatem Mahmoud, Hamdy Hassan
Energy and Buildings (2025), pp. 115314-115314
Closed Access

The impact of urban morphology on sunlight availability at urban and neighborhood scales: a systematic review
Ehsan Rostami, Nazanin Nasrollahi
Sustainable Cities and Society (2025), pp. 106194-106194
Closed Access

A novel deep learning and GIS integrated method for accurate city-scale assessment of building facade solar energy potential
Chengliang Xu, Shiao Chen, Haoshan Ren, et al.
Applied Energy (2025) Vol. 387, pp. 125600-125600
Closed Access

Assessing Urban Morphology's Impact on Solar Potential of High-Rise Facades in Hong Kong Using Machine Learning: An Application for FIPV Optimization
Lulu Tao, Mengmeng Wang, Changying Xiang
Sustainable Cities and Society (2024) Vol. 117, pp. 105978-105978
Closed Access | Times Cited: 4

An Overview of the Research on the Correlation between Solar Energy Utilization Potential and Spatial Morphology
Dexin Li, Xianghong Cui, Long Shi, et al.
Results in Engineering (2024) Vol. 24, pp. 103444-103444
Open Access | Times Cited: 2

Refining urban morphology: An explainable machine learning method for estimating footprint-level building height
Yang Chen, Wenjie Sun, Ling Yang, et al.
Sustainable Cities and Society (2024) Vol. 112, pp. 105635-105635
Closed Access | Times Cited: 1

Assessing building-integrated photovoltaic potential in dense urban areas using a multi-channel single-dimensional convolutional neural network model
Xiaotian Geng, Senhong Cai, Zhonghua Gou
Applied Energy (2024) Vol. 377, pp. 124716-124716
Closed Access | Times Cited: 1

Integrating microclimate modelling with building energy simulation and solar photovoltaic potential estimation: The parametric analysis and optimization of urban design
Chenhang Bian, K.L. Cheung, Xi Chen, et al.
Applied Energy (2024) Vol. 380, pp. 125062-125062
Closed Access | Times Cited: 1

Prediction of building-scale solar energy potential in urban environment based on parametric modelling and machine learning algorithms
Jia Tian, Ryozo Ooka
Sustainable Cities and Society (2024), pp. 106057-106057
Closed Access | Times Cited: 1

Effect of Urban Morphology on Solar Energy Potential for Buildings Based on Deep Learning Algorithms
Jia Tian, Ryozo Ooka
Lecture notes in civil engineering (2024), pp. 518-524
Closed Access

Zero-carbon renewal of communities through collaborative retrofitting of multi-scale design elements: A case of Wuhan, China
Xu Shen, Huangwanjin Zhou, Yichen Dong, et al.
Energy and Buildings (2024), pp. 115245-115245
Closed Access

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