Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence
Kushanav Bhuyan, C.J. van Westen, Jiong Wang, et al.
Natural Hazards (2022) Vol. 119, Iss. 2, pp. 805-835
Open Access | Times Cited: 23

Showing 23 citing articles:

Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
Filip Biljecki, Yoong Shin Chow, Kay Lee
Building and Environment (2023) Vol. 237, pp. 110295-110295
Open Access | Times Cited: 85
Flood susceptibility mapping using AutoML and a deep learning framework with evolutionary algorithms for hyperparameter optimization
Amala Mary Vincent, Parthasarathy Kulithalai Shiyam Sundar, P. Jidesh
Applied Soft Computing (2023) Vol. 148, pp. 110846-110846
Closed Access | Times Cited: 25
High-resolution multi-hazard residential buildings and population exposure model for coastal areas: a case study in northeastern Italy
Hazem Badreldin, Chiara Scaini, Hany M. Hassan, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105403-105403
Closed Access | Times Cited: 1
HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery
Sansar Raj Meena, Lorenzo Nava, Kushanav Bhuyan, et al.
Earth system science data (2023) Vol. 15, Iss. 7, pp. 3283-3298
Open Access | Times Cited: 23
Identification of the key driving factors of flash flood based on different feature selection techniques coupled with random forest method
Xiaoyu Tan, Yuxin Li, Xiaoguo Wu, et al.
Journal of Hydrology Regional Studies (2023) Vol. 51, pp. 101624-101624
Open Access | Times Cited: 23
State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images
Adekanmi Adeyinka Adegun, Jean Vincent Fonou-Dombeu, Serestina Viriri, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5849-5849
Open Access | Times Cited: 20
Artificial Intelligence for Flood Risk Management: A Comprehensive State-of-the-Art Review and Future Directions
Zhewei Liu, Natalie Coleman, Flavia Ioana Patrascu, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 117, pp. 105110-105110
Closed Access | Times Cited: 4
Artificial Intelligence for Flood Risk Management: A Comprehensive State-of-the-Art Review and Future Directions
Zhewei Liu, Natalie Coleman, Flavia Ioana Patrascu, et al.
(2025)
Closed Access
Comparative assessment of residential property values at risk to flooding: The case of Utah, USA
Austin S. Clark, Tim Collins, Sara E. Grineski, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105247-105247
Closed Access
Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil
Lorraine Trento Oliveira, Monika Kuffer, Nina Schwarz, et al.
European Journal of Remote Sensing (2023) Vol. 56, Iss. 1
Open Access | Times Cited: 8
A Remote Sensing Method to Assess the Future Multi-Hazard Exposure of Urban Areas
Carolina Salvo, Alessandro Vitale
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4288-4288
Open Access | Times Cited: 7
Scalable approach to create annotated disaster image database supporting AI-driven damage assessment
Sun Ho Ro, Jie Gong
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11693-11712
Open Access | Times Cited: 2
A modern method for building damage evaluation using deep learning approach - Case study: Flash flooding in Derna, Libya
E. M. Sellami, Hassan Rhinane
E3S Web of Conferences (2024) Vol. 502, pp. 03010-03010
Open Access | Times Cited: 1
Editorial: novel tools for multi-risk assessment
Christian Geiß, Elisabeth Schöepfer, Torsten Riedlinger, et al.
Natural Hazards (2023) Vol. 119, Iss. 2, pp. 773-778
Open Access | Times Cited: 1
Reply on RC2
Anna Rita Scorzini
(2024)
Open Access
Reply on RC1
Anna Rita Scorzini
(2024)
Open Access
The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Mario Di Bacco, Daniela Molinari, Anna Rita Scorzini
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 5, pp. 1681-1696
Open Access
Assessing the vulnerability of buildings to long-term sea level rise across the Global South
Maya Willard-Stepan, Natalya Gomez, Jeffrey A. Cardille, et al.
Research Square (Research Square) (2024)
Open Access
Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification
Daniel Adams, Taylor Hauser, H. Lexie Yang, et al.
(2024), pp. 15-26
Open Access
SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics
Daniel Adams, Jessica Moehl, Clinton Stipek, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5775-5784
Closed Access
The value of ultra-detailed survey data for an improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Mario Di Bacco, Daniela Molinari, Anna Rita Scorzini
(2023)
Open Access
Comment on nhess-2023-179
Julius Schlumberger
(2023)
Open Access
Comment on nhess-2023-179
Mario Di Bacco, Daniela Molinari, Anna Rita Scorzini
(2023)
Open Access
Page 1

Scroll to top