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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:

A city-scale estimation of rooftop solar photovoltaic potential based on deep learning
Teng Zhong, Zhixin Zhang, Min Chen, et al.
Applied Energy (2021) Vol. 298, pp. 117132-117132
Closed Access | Times Cited: 118

Showing 1-25 of 118 citing articles:

Vectorized rooftop area data for 90 cities in China
Zhixin Zhang, Zhen Qian, Teng Zhong, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 114
Carbon mitigation potential afforded by rooftop photovoltaic in China
Zhixin Zhang, Min Chen, Teng Zhong, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 110
Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images
Tao Sun, Ming Shan, Xing Rong, et al.
Applied Energy (2022) Vol. 315, pp. 119025-119025
Closed Access | Times Cited: 91
Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
Qi Chen, Xinyuan Li, Zhengjia Zhang, et al.
Applied Energy (2023) Vol. 333, pp. 120579-120579
Closed Access | Times Cited: 58
Whether rural rooftop photovoltaics can effectively fight the power consumption conflicts at the regional scale – A case study of Jiangsu Province
Yuting Yang, Zhiyuan Si, Ling Jia, et al.
Energy and Buildings (2024) Vol. 306, pp. 113921-113921
Closed Access | Times Cited: 50
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 46
Application of photovoltaics on different types of land in China: Opportunities, status and challenges
Chenchen Song, Zhiling Guo, Zhengguang Liu, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114146-114146
Closed Access | Times Cited: 45
A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities
Haoshan Ren, Chengliang Xu, Zhenjun Ma, et al.
Applied Energy (2021) Vol. 306, pp. 117985-117985
Closed Access | Times Cited: 62
Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery
Rui Zhu, Dongxue Guo, Man Sing Wong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103134-103134
Open Access | Times Cited: 48
A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105647-105647
Closed Access | Times Cited: 38
GIScience can facilitate the development of solar cities for energy transition
Rui Zhu, Mei‐Po Kwan, A.T.D. Perera, et al.
Advances in Applied Energy (2023) Vol. 10, pp. 100129-100129
Open Access | Times Cited: 33
Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing imagery
Longxu Yan, Rui Zhu, Mei‐Po Kwan, et al.
Sustainable Cities and Society (2023) Vol. 93, pp. 104515-104515
Closed Access | Times Cited: 32
Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images
Hongzhi Mao, Xie Chen, Yongqiang Luo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 179, pp. 113276-113276
Open Access | Times Cited: 29
A novel approach for assessing rooftop-and-facade solar photovoltaic potential in rural areas using three-dimensional (3D) building models constructed with GIS
Jiang Liu, Qifeng Wu, Zhipeng Lin, et al.
Energy (2023) Vol. 282, pp. 128920-128920
Closed Access | Times Cited: 27
Enhancing rooftop solar energy potential evaluation in high-density cities: A Deep Learning and GIS based approach
H. F. Ni, D Wang, Wenzhuo Zhao, et al.
Energy and Buildings (2023) Vol. 309, pp. 113743-113743
Closed Access | Times Cited: 27
Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure
Feng Ding, Jianping Yang, Zan Zhou
Renewable and Sustainable Energy Reviews (2023) Vol. 178, pp. 113272-113272
Closed Access | Times Cited: 23
City-scale solar PV potential estimation on 3D buildings using multi-source RS data: A case study in Wuhan, China
Zhe Chen, Bisheng Yang, Rui Zhu, et al.
Applied Energy (2024) Vol. 359, pp. 122720-122720
Closed Access | Times Cited: 12
Promoting solar energy utilization: Prediction, analysis and evaluation of solar radiation on building surfaces at city scale
Yingjun Yue, Zengfeng Yan, Pingan Ni, et al.
Energy and Buildings (2024) Vol. 319, pp. 114561-114561
Closed Access | Times Cited: 12
An innovative method for evaluating the urban roof photovoltaic potential based on open-source satellite images
Shuai Tian, Guoqiang Yang, Sihong Du, et al.
Renewable Energy (2024) Vol. 224, pp. 120075-120075
Closed Access | Times Cited: 10
Modelling the building-related photovoltaic power production potential in the light of the EU's Solar Rooftop Initiative
Gergely Molnár, Luisa F. Cabeza, Souran Chatterjee, et al.
Applied Energy (2024) Vol. 360, pp. 122708-122708
Open Access | Times Cited: 8
Fast building detection using new feature sets derived from a very high-resolution image, digital elevation and surface model
Mehmet Akıf Günen
International Journal of Remote Sensing (2024) Vol. 45, Iss. 5, pp. 1477-1497
Closed Access | Times Cited: 8
Geospatial assessment of rooftop solar photovoltaic potential using multi-source remote sensing data
Hou Jiang, Ling Yao, Ning Lu, et al.
Energy and AI (2022) Vol. 10, pp. 100185-100185
Open Access | Times Cited: 37
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery
Zhen Qian, Min Chen, Teng Zhong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102680-102680
Open Access | Times Cited: 34
Potential of residential building integrated photovoltaic systems in different regions of China
Xinyi Feng, Tao Ma, Yohei Yamaguchi, et al.
Energy Sustainable Development/Energy for sustainable development (2022) Vol. 72, pp. 19-32
Closed Access | Times Cited: 33
An economically feasible optimization of photovoltaic provision using real electricity demand: A case study in New York city
Rui Zhu, Man Sing Wong, Mei‐Po Kwan, et al.
Sustainable Cities and Society (2022) Vol. 78, pp. 103614-103614
Closed Access | Times Cited: 31
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