
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:
Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR
Sackdavong Mangkhaseum, Yogesh Bhattarai, Sunil Duwal, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Sackdavong Mangkhaseum, Yogesh Bhattarai, Sunil Duwal, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms
Abu Reza Md. Towfiqul Islam, Md. Uzzal Mia, NÃlson Augusto Villa Nova, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Abu Reza Md. Towfiqul Islam, Md. Uzzal Mia, NÃlson Augusto Villa Nova, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
Gen Long, Sarintip Tantanee, Korakod Nusit, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Gen Long, Sarintip Tantanee, Korakod Nusit, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Flood risk modelling by the synergistic approach of machine learning and best-worst method in Indus Kohistan, Western Himalaya
Ashfaq Ahmad, Jiangang Chen, Xiaohong Chen, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Ashfaq Ahmad, Jiangang Chen, Xiaohong Chen, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access
Cyclone surge inundation susceptibility assessment in Bangladesh coast through geospatial techniques and machine learning algorithms: a comparative study between an island and a mangrove protected area
Abdullah Al Mamun, Li Zhang, Yan Xuzhe, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Abdullah Al Mamun, Li Zhang, Yan Xuzhe, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Flood susceptibility assessment using deep neural networks and open-source spatial datasets in transboundary river basin
Huu Duy Nguyen, Dinh Kha Dang, H Truong, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2025)
Closed Access
Huu Duy Nguyen, Dinh Kha Dang, H Truong, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2025)
Closed Access
An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand
Nutchapon Prasertsoong, Nattapong Puttanapong
Progress in Disaster Science (2024), pp. 100393-100393
Open Access
Nutchapon Prasertsoong, Nattapong Puttanapong
Progress in Disaster Science (2024), pp. 100393-100393
Open Access