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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:

Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery
Galen Richardson, Neve Foreman, Anders Knudby, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114302-114302
Open Access | Times Cited: 9

Showing 9 citing articles:

Machine learning approaches to landsat change detection analysis
Galen Richardson, Anders Knudby, Morgan A. Crowley, et al.
Canadian Journal of Remote Sensing (2025) Vol. 51, Iss. 1
Open Access
Multi-scale Spatial Aware Neural Network Based on Neighboring Information for Inversion of Shallow Water Depth
Z. Li, Guizhou Zheng
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Analysis of sentinel-2 image time series for enhancing satellite-derived bathymetry
Qizhi Zhuang, Shu Gao, yitong liu, et al.
Marine Geodesy (2025), pp. 1-26
Closed Access
Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data
Junzhen Meng, Yunfei Wang, Wenkai Liu, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2236-2236
Open Access
Sensor-generic adjacency-effect correction for remote sensing of coastal and inland waters
Yulun Wu, Anders Knudby, Nima Pahlevan, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114433-114433
Open Access | Times Cited: 3
A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality
Mir Talas Mahammad Diganta, Md Galal Uddin, Tomasz Dabrowski, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177180-177180
Closed Access | Times Cited: 2
Enhancing Water depth inversion accuracy in turbid coastal environments using random forest and coordinate attention mechanisms
Siwen Fang, Zhongqiang Wu, Shulei Wu, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 1
Shallow Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentinel-2 Data
Mengying Ye, Changbao Yang, Xuqing Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4603-4603
Open Access | Times Cited: 1
Active and Passive Data Combined Depth Inversion Based on Multi-Temporal Observation: Comparison of Model and Strategy
Ruiyao Kong, Guoping Zhang, Shuai Xing, et al.
Optics Express (2024) Vol. 32, Iss. 27, pp. 48144-48144
Open Access
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