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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:

Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin
Supriya Ghosh, Soumik Saha, Biswajit Bera
Natural Hazards Research (2022) Vol. 2, Iss. 4, pp. 363-374
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen
Ali R. Al-Aizari, Hassan Alzahrani, Omar F. Althuwaynee, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 336-336
Open Access | Times Cited: 14
Living with Floods Using State-of-the-Art and Geospatial Techniques: Flood Mitigation Alternatives, Management Measures, and Policy Recommendations
Rabin Chakrabortty, Subodh Chandra Pal, Dipankar Ruidas, et al.
Water (2023) Vol. 15, Iss. 3, pp. 558-558
Open Access | Times Cited: 25
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 14
Flash Flood Susceptibility Modelling Using Soft Computing-Based Approaches: From Bibliometric to Meta-Data Analysis and Future Research Directions
Gilbert Hinge, Mohamed A. Hamouda, Mohamed Mostafa Mohamed
Water (2024) Vol. 16, Iss. 1, pp. 173-173
Open Access | Times Cited: 12
Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
Menuka Maharjan, Sachin Timilsina, Santosh Ayer, et al.
Natural Hazards Research (2024) Vol. 4, Iss. 1, pp. 32-45
Open Access | Times Cited: 11
Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS
Huu Duy Nguyen, Quoc‐Huy Nguyen, Quang‐Thanh Bui
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 12, pp. 18701-18722
Closed Access | Times Cited: 8
Implication of novel hybrid machine learning model for flood subsidence susceptibility mapping: A representative case study in Saudi Arabia
Ahmed M. Al‐Areeq, Radhwan A. A. Saleh, Mustafa Ghaleb, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130692-130692
Closed Access | Times Cited: 7
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
Sunil Duwal, Dedi Liu, Prachand Man Pradhan
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Flood Susceptibility Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach
S. Sreekala, P. Geetha, M. Dhanya
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 6
A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping
Radhwan A. A. Saleh, Ahmed M. Al‐Areeq, Amran A. Al Aghbari, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Fluvio-hydrological drivers largely control the morphology and stability of channel bars in the transboundary Himalayan River Jaldhaka
Biswajit Bera, Sudipa Sarkar
DELETED (2025)
Closed 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
Flood Susceptibility Zonation Using Geospatial Frequency Ratio and Artificial Neural Network Techniques within Himalayan Terai Region: A Comparative Exploration
Deepanjan Sen, Swarup Das, Sumon Dey, et al.
Communications in computer and information science (2025), pp. 136-148
Closed Access
Mapping Urban Flood Hazard Using Extreme Gradient Boosting and Random Forest
Maelaynayn El baida, Farid Boushaba, Mimoun Chourak, et al.
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2025), pp. 3-10
Closed Access
Statistical and deep learning approaches in estimating present and future global mean sea level rise
Sergen Tümse, Umut Alcansoy
Natural Hazards (2025)
Open Access
Enhancing flash flood susceptibility modeling in arid regions: integrating digital soil mapping and machine learning algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
Closed Access
Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
Anitabha Ghosh, Uday Chatterjee, Subodh Chandra Pal, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 14
Characterizing recurrent flood hazards in the Himalayan foothill region through data-driven modelling
Md Hasanuzzaman, Pravat Kumar Shit, Biswajit Bera, et al.
Advances in Space Research (2023) Vol. 71, Iss. 12, pp. 5311-5326
Closed Access | Times Cited: 13
Enhancing urban flood forecasting in drainage systems using dynamic ensemble-based data mining
Farzad Piadeh, Kourosh Behzadian, Albert Chen, et al.
Water Research (2023) Vol. 247, pp. 120791-120791
Open Access | Times Cited: 13
Flood Subsidence Susceptibility Mapping using Elastic-net Classifier: New Approach
Ahmed M. Al‐Areeq, Sani I. Abba, Bijay Halder, et al.
Water Resources Management (2023) Vol. 37, Iss. 13, pp. 4985-5006
Closed Access | Times Cited: 12
Identification of potential dam sites for severe water crisis management in semi-arid fluoride contaminated region, India
Arijit Ghosh, Biswajit Bera
Cleaner Water (2024) Vol. 1, pp. 100011-100011
Open Access | Times Cited: 4
Influencing Factors and Risk Assessment of Precipitation-Induced Flooding in Zhengzhou, China, Based on Random Forest and XGBoost Algorithms
Xun Liu, Peng Zhou, Yi-Chen Lin, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16544-16544
Open Access | Times Cited: 19
Assessment and Mapping of Riverine Flood Susceptibility (RFS) in India through Coupled Multicriteria Decision Making Models and Geospatial Techniques
Ravi Kumar, Manish Kumar, Akash Tiwari, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3918-3918
Open Access | Times Cited: 11
Coastal Flood risk assessment using ensemble multi-criteria decision-making with machine learning approaches
Mashael M. Asiri, Ghadah Aldehim, Nuha Alruwais, et al.
Environmental Research (2023) Vol. 245, pp. 118042-118042
Closed Access | Times Cited: 11
Estimating seismic vulnerability in West Bengal by AHP-WSM and AHP-VIKOR
Sukanta Malakar, Abhishek Kumar
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 464-473
Open Access | Times Cited: 10
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