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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:

Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep Learning Approach
Zhong Jing, Jie Sun, Zulong Lai, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4229-4229
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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
Incorporation of neighborhood information improves performance of SDB models
Anders Knudby, Galen Richardson
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101033-101033
Closed Access | Times Cited: 21
Machine Learning Based Estimation of Coastal Bathymetry From ICESat-2 and Sentinel-2 Data
Nan Xu, Lin Wang, Han-Su Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1748-1755
Open Access | Times Cited: 21
Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning
Congshuang Xie, Peng Chen, Zhenhua Zhang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 14
MuSRFM: Multiple scale resolution fusion based precise and robust satellite derived bathymetry model for island nearshore shallow water regions using sentinel-2 multi-spectral imagery
Xiaoming Qin, Ziyin Wu, Xiaowen Luo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 150-169
Open Access | Times Cited: 5
Remote sensing for shallow bathymetry: A systematic review
Jinchen He, Shuhang Zhang, Xiaodong Cui, et al.
Earth-Science Reviews (2024), pp. 104957-104957
Closed Access | Times Cited: 5
Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning
David Hartmann, Mathieu Gravey, Timothy Price, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 291-291
Open Access
ICESat-2 bathymetry algorithms: A review of the current state-of-the-art and future outlook
Jaehoon Jung, Christopher Parrish, Lori A. Magruder, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 223, pp. 413-439
Open Access
SeafloorMapper: A GUI-Based Application for Manual and Automatic Extraction of Seafloor Photons from ICESat-2 ATL03 Data
Yiwen Lin, Anders Knudby
Marine Geodesy (2025), pp. 1-21
Closed Access
Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea
Congshuang Xie, Siqi Zhang, Zhenhua Zhang, et al.
Ecological Informatics (2025), pp. 103121-103121
Open Access
Mapping of nearshore bathymetry using Gaofen-6 images for the Yellow River Delta-Laizhou Bay, China
Kun Tan, Minxuan Sun, Danfeng Sun, et al.
Ecological Informatics (2024) Vol. 80, pp. 102497-102497
Open Access | Times Cited: 4
Bathymetry estimation for coastal regions using self-attention
Xiaoxiong Zhang, Maryam R. Al Shehhi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data
Jie Li, Zhipeng Dong, L. Chen, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 265-265
Open Access
Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring
Marc-André Blais, Moulay A. Akhloufi
Geomatics (2025) Vol. 5, Iss. 1, pp. 9-9
Open Access
A novel spatial graph attention networks for satellite-derived bathymetry in coastal and island waters
Yuchen Zhao, Siwen Fang, Zhongqiang Wu, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 125034-125034
Closed Access
Water depth inversion based on ICESat-2 and Sentinel-2—A case study of Qiagui Co and Ayakekumu Lake on the Tibetan Plateau
Baojin Qiao, Tiejun Du, Jianting Ju, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102354-102354
Closed Access
Shoaling and Sedimentation Dynamics in Fishery Shelters: A Case Study of Sandıktaş Fishery Shelter
Veli Süme, Enver Yılmaz, Hasan Oğulcan Marangoz, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 4, pp. 779-779
Open Access
Shallow-water Bathymetry Mapping from Satellite SAR Imagery Using Deep Learning with Multiple Feature Inputs
Y. D. Cui, Sheng Wang, Yu Yang, et al.
Chinese Journal of Space Science (2025) Vol. 45, Iss. 2, pp. 1-1
Open Access
A Comprehensive Evaluation of Machine Learning and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs
Jian Cheng, Liang Cheng, Sensen Chu, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 9, pp. 381-381
Open Access | Times Cited: 10
Global automated extraction of bathymetric photons from ICESat-2 data based on a PointNet++ model
Yiwen Lin, Anders Knudby
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103512-103512
Open Access | Times Cited: 10
Band-Optimized Bidirectional LSTM Deep Learning Model for Bathymetry Inversion
Xiaotao Xi, Ming Chen, Yingxi Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3472-3472
Open Access | Times Cited: 9
Shallow-Water Bathymetry Retrieval Based on an Improved Deep Learning Method Using GF-6 Multispectral Imagery in Nanshan Port Waters
Wei Shen, Muyin Chen, Zhongqiang Wu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8550-8562
Open Access | Times Cited: 8
Estimation of shallow bathymetry using Sentinel-2 satellite data and random forest machine learning: a case study for Cheonsuman, Hallim, and Samcheok Coastal Seas
Jae-yeop Kwon, Hye-kyeong Shin, Da-hui Kim, et al.
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 01
Open Access | Times Cited: 2
Acquisition of Bathymetry for Inland Shallow and Ultra-Shallow Water Bodies Using PlanetScope Satellite Imagery
Aleksander Kulbacki, Jacek Łubczonek, Grzegorz Zaniewicz
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3165-3165
Open Access | Times Cited: 2
Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island
Osman İsa Çelik, Gürcan Büyüksali̇h, Cem Gazioğlu
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 11, pp. 2090-2090
Open Access | Times Cited: 6
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