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:
Remote sensing unveils the explosive growth of global offshore wind turbines
Kechao Wang, Wu Xiao, Tingting He, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114186-114186
Closed Access | Times Cited: 12
Kechao Wang, Wu Xiao, Tingting He, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114186-114186
Closed Access | Times Cited: 12
Showing 12 citing articles:
Mapping Wind Turbine Distribution in Forest Areas of China Using Deep Learning Methods
Pinpin Yang, Zhigang Zou, Wu Yang
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 940-940
Open Access | Times Cited: 2
Pinpin Yang, Zhigang Zou, Wu Yang
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 940-940
Open Access | Times Cited: 2
Mapping land- and offshore-based wind turbines in China in 2023 with Sentinel-2 satellite data
Tingting He, Yihua Hu, Fashuai Li, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115566-115566
Closed Access | Times Cited: 1
Tingting He, Yihua Hu, Fashuai Li, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115566-115566
Closed Access | Times Cited: 1
YOLOv5_CDB: A Global Wind Turbine Detection Framework Integrating CBAM and DBSCAN
Yue Fei, Yongnian Gao, Hong Gu, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1322-1322
Open Access
Yue Fei, Yongnian Gao, Hong Gu, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1322-1322
Open Access
The interannual variations of installed capacity for offshore wind turbines in China: estimations derived solely from remote sensing
Qiannan Ding, Chunpeng Chen, Bo Tian, et al.
Geo-spatial Information Science (2025), pp. 1-19
Open Access
Qiannan Ding, Chunpeng Chen, Bo Tian, et al.
Geo-spatial Information Science (2025), pp. 1-19
Open Access
SP-CenterNet: An accurate and lightweight deep learning approach for detecting offshore wind turbines using satellite imagery
Zhe Wang, Zhixiang Fang, Xin Wang, et al.
Ocean Engineering (2025) Vol. 334, pp. 121433-121433
Closed Access
Zhe Wang, Zhixiang Fang, Xin Wang, et al.
Ocean Engineering (2025) Vol. 334, pp. 121433-121433
Closed Access
Optical power monitoring systems for offshore wind farms: A literature review
Sthitapragyan Mohanty, Agileswari K. Ramasamy, Asit Mohanty, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 72, pp. 104029-104029
Closed Access | Times Cited: 2
Sthitapragyan Mohanty, Agileswari K. Ramasamy, Asit Mohanty, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 72, pp. 104029-104029
Closed Access | Times Cited: 2
SK-MMFMNet: A multi-dimensional fusion network of remote sensing images and EEG signals for multi-scale marine target recognition
Jiawen Long, Zhixiang Fang, Lubin Wang
Information Fusion (2024) Vol. 108, pp. 102402-102402
Closed Access | Times Cited: 2
Jiawen Long, Zhixiang Fang, Lubin Wang
Information Fusion (2024) Vol. 108, pp. 102402-102402
Closed Access | Times Cited: 2
Systematic literature review on the design, efficiency and fabrication of wind turbine blades
Hussam Almalki, Babak Safaei, Mohammad Karimzadeh Kolamroudi, et al.
International Journal of Ambient Energy (2024) Vol. 45, Iss. 1
Closed Access | Times Cited: 2
Hussam Almalki, Babak Safaei, Mohammad Karimzadeh Kolamroudi, et al.
International Journal of Ambient Energy (2024) Vol. 45, Iss. 1
Closed Access | Times Cited: 2
Global offshore wind turbine detection: a combined application of deep learning and Google earth engine
Shuai Zhang, Fangxiong Wang, Yingzi Hou, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 18, pp. 6601-6623
Closed Access | Times Cited: 2
Shuai Zhang, Fangxiong Wang, Yingzi Hou, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 18, pp. 6601-6623
Closed Access | Times Cited: 2
Identifying the spatio-temporal distribution characteristics of offshore wind turbines in China from Sentinel-1 imagery using deep learning
Qiannan Ding, Bo Tian, Chunpeng Chen, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Qiannan Ding, Bo Tian, Chunpeng Chen, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Enhancing wind turbine energy efficiency: Tribo-dynamics modeling and shape modification
Jiabao Yin, Xianghui Meng, Shuai Cheng
Renewable and Sustainable Energy Reviews (2024) Vol. 208, pp. 115071-115071
Closed Access | Times Cited: 1
Jiabao Yin, Xianghui Meng, Shuai Cheng
Renewable and Sustainable Energy Reviews (2024) Vol. 208, pp. 115071-115071
Closed Access | Times Cited: 1
Mapping Land- and Offshore-Based Wind Turbine in China of 2023 with Sentinel-2 Satellite Data
Tingting He, Yihua Hu, Fashuai Li, et al.
(2024)
Closed Access
Tingting He, Yihua Hu, Fashuai Li, et al.
(2024)
Closed Access
The change of environmental factors in the water near the Yangtze Estuary may induce the change of large yellow croaker fishery location there
Lina Cai, Jiahua Li, Xiaojun Yan, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
Lina Cai, Jiahua Li, Xiaojun Yan, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
