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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:

Flood hazard mapping in western Iran: assessment of deep learning vis-à-vis machine learning models
Eslam Satarzadeh, Amirpouya Sarraf, Hooman Hajikandi, et al.
Natural Hazards (2021) Vol. 111, Iss. 2, pp. 1355-1373
Closed Access | Times Cited: 22

Showing 22 citing articles:

The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 104
Improving urban flood prediction using LSTM-DeepLabv3+ and Bayesian optimization with spatiotemporal feature fusion
Zuxiang Situ, Qi Wang, Shuai Teng, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130743-130743
Closed Access | Times Cited: 16
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 43
Geodesign in the era of artificial intelligence
Xinyue Ye, Tianchen Huang, Yang Song, et al.
Frontiers of Urban and Rural Planning (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models
Mahdi Panahi, Omid Rahmati, Zahra Kalantari, et al.
Journal of Hydrology (2022) Vol. 611, pp. 128001-128001
Closed Access | Times Cited: 34
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
Huu Duy Nguyen
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2369-2386
Closed Access | Times Cited: 28
Enhancing Flood Susceptibility Modeling: a Hybrid Deep Neural Network with Statistical Learning Algorithms for Predicting Flood Prone Areas
Motrza Ghobadi, Masumeh Ahmadipari
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 2687-2710
Open Access | Times Cited: 8
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
Hossein Hamedi, Ali Asghar Alesheikh, Mahdi Panahi, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4287-4310
Closed Access | Times Cited: 21
Earthquake risk mapping in the Himalayas by integrated analytical hierarchy process, entropy with neural network
Sukanta Malakar, Abhishek Kumar, Arun Gupta
Natural Hazards (2022) Vol. 116, Iss. 1, pp. 951-975
Closed Access | Times Cited: 20
Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1247-1283
Closed Access | Times Cited: 19
Advanced machine learning algorithms for flood susceptibility modeling — performance comparison: Red Sea, Egypt
Ahmed M. Youssef, Hamid Reza Pourghasemi, Bosy A. El‐Haddad
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 66768-66792
Closed Access | Times Cited: 18
Flood Susceptibility Zonation of Paschim Medinipur and Hooghly District in West Bengal, India Using EDAS Model
Suvankar Naskar, Brototi Biswas, Sanjib Majumder
Springer natural hazards (2024), pp. 211-233
Closed Access | Times Cited: 3
A Country Wide Evaluation of Sweden's Spatial Flood Modeling With Optimized Convolutional Neural Network Algorithms
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Earth s Future (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 8
A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach
Mohamed Wahba, Mustafa El-Rawy, Nassir Al‐Arifi, et al.
Water (2023) Vol. 15, Iss. 23, pp. 4138-4138
Open Access | Times Cited: 8
Manifesting deep learning algorithms for developing drought vulnerability index in monsoon climate dominant region of West Bengal, India
Sunil Saha, Barnali Kundu, Anik Saha, et al.
Theoretical and Applied Climatology (2022) Vol. 151, Iss. 1-2, pp. 891-913
Closed Access | Times Cited: 12
A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China
Nan Jiang, Yange Li, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks
Krishnagopal Halder, Anitabha Ghosh, Amit Kumar Srivastava, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Optimal flood susceptibility model based on performance comparisons of LR, EGB, and RF algorithms
Ahmed M. Youssef, Ali M. Mahdi, Hamid Reza Pourghasemi
Natural Hazards (2022) Vol. 115, Iss. 2, pp. 1071-1096
Open Access | Times Cited: 6
Flash Flood Hazard Mapping Using Landsat-8 Imagery, Ahp, And Gis In The Ngan Sau And Ngan Pho River Basins, North-Central Vietnam
Thành Tiên Nguyễn, Anh-huy Hoang, Thi-thu-huong Pham, et al.
GEOGRAPHY ENVIRONMENT SUSTAINABILITY (2023) Vol. 16, Iss. 2, pp. 57-67
Open Access | Times Cited: 3
A hybrid deep neural network with statistical learning algorithms for flood susceptibility modeling
Morteza Ghobadi, Masumeh Ahmadipari
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Research on Flood Disaster Risk Assessment Based on Random Forest Algorithm
Hao Cai
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) (2022), pp. 356-359
Closed Access | Times Cited: 2
Using open data to reveal factors of urban susceptibility to natural hazards and man-made hazards: case of Milan and Sofia
Alberto Vavassori, Angelly de Jesus Pugliese Viloria, Maria Antonia Brovelli
GeoScape (2022) Vol. 16, Iss. 2, pp. 93-107
Open Access | Times Cited: 1
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