
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 mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning
Romulus Costache, Subodh Chandra Pal, Chaitanya B. Pande, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 9
Romulus Costache, Subodh Chandra Pal, Chaitanya B. Pande, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 9
Showing 9 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, Nílson 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, Nílson Augusto Villa Nova, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Exploring the spatial association characteristics of carbon emission efficiency in China’s construction industry: A network perspective
Fangliang Wang, Qi Zhang
Energy and Buildings (2025) Vol. 329, pp. 115289-115289
Closed Access
Fangliang Wang, Qi Zhang
Energy and Buildings (2025) Vol. 329, pp. 115289-115289
Closed Access
Data Uncertainty of Flood Susceptibility Using Non-Flood Samples
Y. Zhang, Yongqiang Wei, Rui Yao, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 375-375
Open Access
Y. Zhang, Yongqiang Wei, Rui Yao, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 375-375
Open Access
Predicting flood risks using advanced machine learning algorithms with a focus on Bangladesh: influencing factors, gaps and future challenges
Abu Reza Md. Towfiqul Islam, Md. Jannatul Naeem Jibon, Md. Abubakkor Siddik, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Abu Reza Md. Towfiqul Islam, Md. Jannatul Naeem Jibon, Md. Abubakkor Siddik, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Reservoir-based flood forecasting and warning: deep learning versus machine learning
Sooyeon Yi, Jaeeung Yi
Applied Water Science (2024) Vol. 14, Iss. 11
Open Access | Times Cited: 2
Sooyeon Yi, Jaeeung Yi
Applied Water Science (2024) Vol. 14, Iss. 11
Open Access | Times Cited: 2
Flood and Non-Flood Image Classification using Deep Ensemble Learning
Ellora Yasi, Tasnim Ullah Shakib, Nusrat Sharmin, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 2
Ellora Yasi, Tasnim Ullah Shakib, Nusrat Sharmin, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 2
Development of risk maps for flood, landslide, and soil erosion using machine learning model
Narges Javidan, Ataollah Kavian, Christian Conoscenti, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
Narges Javidan, Ataollah Kavian, Christian Conoscenti, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
Advanced Cotton Boll Segmentation, Detection, and Counting Using Multi-Level Thresholding Optimized with an Anchor-Free Compact Central Attention Network Model
Arathi Bairi, Uma N. Dulhare
Eng—Advances in Engineering (2024) Vol. 5, Iss. 4, pp. 2839-2861
Open Access
Arathi Bairi, Uma N. Dulhare
Eng—Advances in Engineering (2024) Vol. 5, Iss. 4, pp. 2839-2861
Open Access
An interpretable Bayesian deep learning-based approach for sustainable clean energy
Dalia Ezzat, Eman Ahmed, Mona Soliman, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 17145-17163
Open Access
Dalia Ezzat, Eman Ahmed, Mona Soliman, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 17145-17163
Open Access