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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:

Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning
Goutam Konapala, Sujay V. Kumar, S. Ahmad
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 180, pp. 163-173
Open Access | Times Cited: 109

Showing 26-50 of 109 citing articles:

DeepSARFlood: Rapid and Automated SAR-based flood inundation mapping using Vision Transformer-based Deep Ensembles with uncertainty estimates
Nirdesh Sharma, Manabendra Saharia
Science of Remote Sensing (2025), pp. 100203-100203
Open Access
Evaluating Flood Extent Using Synthetic Aperture Radar (SAR) and Modified Normalized Difference Water Index (MNDWI) Methods
Getu Tessema Tassew, Addisalem Bitew Mitiku, Tewodros Mulu Mekonnen, et al.
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Measuring water ponding time, location and connectivity on soil surfaces using time-lapse images and deep learning
Pedro Zamboni, Mikesch Blümlein, Jonas Lenz, et al.
CATENA (2025) Vol. 254, pp. 108919-108919
Open Access
Improving spatial and temporal accuracy in coastal reclamation mapping using satellite image time series
Runjie Huang, Li Zhuo, Jie Na, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104499-104499
Closed Access
Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
Di Yu, H.C. Fu, Yanchen Song, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015013-015013
Closed Access | Times Cited: 12
The last two decades of computer vision technologies in water resource management: A bibliometric analysis
Umair Iqbal, Muhammad Zain Bin Riaz, Johan Barthélemy, et al.
Water and Environment Journal (2023) Vol. 37, Iss. 3, pp. 373-389
Open Access | Times Cited: 11
Segmentation and Visualization of Flooded Areas Through Sentinel-1 Images and U-Net
Fernando Pech May, Raúl Aquino-Santos, Omar Álvarez Cárdenas, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 8996-9008
Open Access | Times Cited: 4
Analyzing recent trends in deep-learning approaches: a review on urban environmental hazards and disaster studies for monitoring, management, and mitigation toward sustainability
Deepak Kumar, Nick P. Bassill, Sukanya Ghosh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Monthly Monitoring of Inundated Areas and Water Storage Dynamics in China's Large Reservoirs Using Multisource Remote Sensing
Yongzhe Chen, Yiming Wang, Luoqi Li, et al.
Water Resources Research (2024) Vol. 60, Iss. 8
Open Access | Times Cited: 4
Super-resolution water body mapping with a feature collaborative CNN model by fusing Sentinel-1 and Sentinel-2 images
Zhixiang Yin, Penghai Wu, Xinyan Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104176-104176
Open Access | Times Cited: 4
STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery
Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen
Big Earth Data (2025), pp. 1-27
Open Access
Enhanced large-scale flood mapping using data-efficient unsupervised framework based on morphological active contour model and single synthetic aperture radar image
Rasheeda Soudagar, Arnab Roy Chowdhury, Alok Bhardwaj
Journal of Environmental Management (2025) Vol. 380, pp. 124836-124836
Closed Access
Extraction of built-up areas using Sentinel-1 and Sentinel-2 data with automated training data sampling and label noise robust cross-fusion neural networks
Yu Li, Patrick Matgen, Marco Chini
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104524-104524
Closed Access
A CNN-BASED FLOOD MAPPING APPROACH USING SENTINEL-1 DATA
Beste Tavus, R. Can, Sultan Kocaman
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. V-3-2022, pp. 549-556
Open Access | Times Cited: 18
Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine
Peng Tian, Yongchao Liu, Jialin Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5372-5372
Open Access | Times Cited: 17
Multi-modal spatio-temporal meteorological forecasting with deep neural network
Xinbang Zhang, Qizhao Jin, Tingzhao Yu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 188, pp. 380-393
Closed Access | Times Cited: 16
Mapping intertidal topographic changes in a highly turbid estuary using dense Sentinel-2 time series with deep learning
Chunpeng Chen, Ce Zhang, Bo Tian, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 205, pp. 1-16
Open Access | Times Cited: 10
Long-term observation of global nuclear power plants thermal plumes using Landsat images and deep learning
Jiawei Wei, Lian Feng, Yan Tong, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113707-113707
Open Access | Times Cited: 9
XFIMNet: an Explainable deep learning architecture for versatile flood inundation mapping with synthetic aperture radar and multi-spectral optical images
J.E. Sanderson, Naruephorn Tengtrairat, Wai Lok Woo, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 24, pp. 7755-7789
Closed Access | Times Cited: 9
Rapid Flood Inundation Forecast Using Fourier Neural Operator
Alexander Y. Sun, Zhi Li, Wonhyun Lee, et al.
(2023), pp. 3735-3741
Open Access | Times Cited: 9
Urban flood mapping using Sentinel-1 and RADARSAT Constellation Mission image and convolutional Siamese network
Nafiseh Ghasemian Sorboni, Jinfei Wang, Mohammad Reza Najafi
Natural Hazards (2024) Vol. 120, Iss. 6, pp. 5711-5742
Open Access | Times Cited: 3
Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling
Kel Markert, Gustavious P. Williams, E. James Nelson, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1262-1262
Open Access | Times Cited: 3
Synergy of Sentinel-1 and Sentinel-2 Imagery for Crop Classification Based on DC-CNN
Kaixin Zhang, Da Yuan, Huijin Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2727-2727
Open Access | Times Cited: 8
Cross-modal distillation for flood extent mapping
Shubhika Garg, Ben Feinstein, Shahar Timnat, et al.
Environmental Data Science (2023) Vol. 2
Open Access | Times Cited: 8
Flooded Extent and Depth Analysis Using Optical and SAR Remote Sensing with Machine Learning Algorithms
Jesús Soria-Ruíz, Yolanda M. Fernández-Ordoñez, Juan P. Ambrosio-Ambrosio, et al.
Atmosphere (2022) Vol. 13, Iss. 11, pp. 1852-1852
Open Access | Times Cited: 13

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