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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:

A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance
Mitchell Thomas, Beth Tellman, Daniel E. Osgood, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 2589-2604
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions
Saad Mazhar Khan, Imran Shafi, Wasi Haider Butt, et al.
Land (2023) Vol. 12, Iss. 8, pp. 1514-1514
Open Access | Times Cited: 57
Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
Zihui Ma, Lingyao Li, Libby Hemphill, et al.
Sustainable Cities and Society (2024) Vol. 106, pp. 105362-105362
Closed Access | Times Cited: 7
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
Sentinel-1-based analysis of the severe flood over Pakistan 2022
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 10, pp. 3305-3317
Open Access | Times Cited: 7
SAR-based dynamic information retrieving of the Beijing-Tianjin-Hebei flood-inundation happened in July 2023, North China
Zhijun Jiao, Zhimei Zhang, Lixin Wu
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Quantifying urban flood extent using satellite imagery and machine learning
Rebecca Composto, Mirela G. Tulbure, Varun Tiwari, et al.
Natural Hazards (2024)
Open Access | Times Cited: 2
Climate change quadruples flood‐causing extreme monsoon rainfall events in Bangladesh and northeast India
Abdullah Al Fahad, Mahdi Hasan, Noshin Sharmili, et al.
Quarterly Journal of the Royal Meteorological Society (2023) Vol. 150, Iss. 760, pp. 1267-1287
Open Access | Times Cited: 5
Economic valuation of climate induced losses to aquaculture for evaluating climate information services in Bangladesh
Shammunul Islam, Peerzadi Rumana Hossain, Mélody Braun, et al.
Climate Risk Management (2023) Vol. 43, pp. 100582-100582
Open Access | Times Cited: 5
Urban Flood Loss Assessment and Index Insurance Compensation Estimation by Integrating Remote Sensing and Rainfall Multi-Source Data: A Case Study of the 2021 Henan Rainstorm
Zhixia Wu, Xiazhong Zheng, Yijun Chen, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11639-11639
Open Access | Times Cited: 4
Inferring the past: a combined CNN–LSTM deep learning framework to fuse satellites for historical inundation mapping
Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2155-2165
Open Access | Times Cited: 4
Earth Observation to Address Inequities in Post‐Flood Recovery
Hannah K. Friedrich, Beth Tellman, Jonathan A. Sullivan, et al.
Earth s Future (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 1
Towards robust validation strategies for EO flood maps
Tim Landwehr, Antara Dasgupta, Björn Waske
Remote Sensing of Environment (2024) Vol. 315, pp. 114439-114439
Open Access | Times Cited: 1
Dynamic response of flood risk in urban-township complex to future uncertainty
Yidan Xu, Yanmei Yang, Zegen Wang, et al.
International Journal of Disaster Risk Reduction (2024), pp. 104999-104999
Closed Access | Times Cited: 1
Review of flood monitoring and prevention approaches: a data analytic perspective
Syed Asad Shabbir Bukhari, Imran Shafi, Jamil Ahmad, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1
Analysing Distinct Change Detection Methods for Identifying Spectral and Spatial Variation Using Planetscope Satellite Data
Ayushman Ramola, Anurag Vidyarthi
(2024), pp. 1-6
Closed Access
Enhanced Flood Prediction System using BiLSTM and IoT Sensor Networks
Sumit Kumar Das, N. Krishnaraj
(2024), pp. 748-753
Closed Access
Modeling the Economic Impact of Agricultural Regulations
Vikesh Rami, Sunil Kumar, Gautham Krishna, et al.
(2024), pp. 81-101
Closed Access
SSR-GAN: super resolution-based generative adversarial networks model for flood image enhancement
Vinay Dubey, Rahul Katarya
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 5763-5773
Closed Access
A Critical Examination of SAR Colorization Impact on Flood Mapping Accuracy
Nour Aburaed, Mina Al-Saad, M. Sami Zitouni, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 8504-8508
Closed Access
Spatiotemporal satellite image fusion using nanosatellite data
Yeji Kim, Hyun Ok Kim
(2024), pp. 50-50
Closed Access
Situational Awareness for Industry 5.0 and Mobile Robotics: A Review
Marko Höyhtyä
(2023)
Open Access | Times Cited: 1
Flood Event Detection and Assessment using Sentinel-1 SAR-C Time Series and Machine Learning Classifiers Impacted on Agricultural Area, Northeastern, Thailand

International Journal of Geoinformatics (2023)
Open Access | Times Cited: 1
A Comparison Of Remote Sensing Approaches To Assess The Devastating May-June 2022 Flooding In Sylhet, Bangladesh
Adam M. Saunders, Jonathan Giezendanner, Beth Tellman, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 452-455
Closed Access | Times Cited: 1
Situational Awareness for Industry 5.0 and Mobile Robotics: Machine and Network Intelligence
Marko Höyhtyä
(2023)
Open Access
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping
Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, et al.
arXiv (Cornell University) (2023)
Open Access
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