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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:

Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region
Jun Liu, Jiyan Wang, Junnan Xiong, et al.
Geocarto International (2022) Vol. 37, Iss. 25, pp. 9817-9846
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Myoung-Bae Seo, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162285-162285
Closed Access | Times Cited: 49
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open Access | Times Cited: 2
Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Yuting Li, Haoyuan Hong
Journal of Environmental Management (2022) Vol. 325, pp. 116450-116450
Closed Access | Times Cited: 49
Parameters and methods used in flood susceptibility mapping: a review
Çağla Melisa KAYA, Leyla Derin
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1935-1960
Open Access | Times Cited: 36
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
Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques
Jatan Debnath, Dhrubojyoti Sahariah, Nityaranjan Nath, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2393-2419
Open Access | Times Cited: 24
Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
Rami Al‐Ruzouq, Abdallah Shanableh, Ratiranjan Jena, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 3, pp. 101780-101780
Open Access | Times Cited: 17
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
Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML
Fei He, Suxia Liu, Xingguo Mo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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: 8
Flash Flood Susceptibility Mapping of North-east Depression of Bangladesh using Different GIS based Bivariate Statistical Models
Md. Sharafat Chowdhury
Watershed Ecology and the Environment (2024) Vol. 6, pp. 26-40
Open Access | Times Cited: 7
Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques
Romulus Costache, Alireza Arabameri, Iulia Costache, et al.
Journal of Environmental Management (2022) Vol. 316, pp. 115316-115316
Open Access | Times Cited: 24
Predicting real-time roadway pluvial flood risk: A hybrid machine learning approach coupling a graph-based flood spreading model, historical vulnerabilities, and Waze data
Arefeh Safaei-moghadam, Azadeh Hosseinzadeh, Barbara Minsker
Journal of Hydrology (2024) Vol. 637, pp. 131406-131406
Open Access | Times Cited: 4
Assessing future changes in flood susceptibility under projections from the sixth coupled model intercomparison project: case study of Algiers City (Algeria)
Ali Bouamrane, Oussama Derdous, Hamza Bouchehed, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 4
A novel flood conditioning factor based on topography for flood susceptibility modeling
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Geoscience Frontiers (2024) Vol. 16, Iss. 1, pp. 101960-101960
Open Access | Times Cited: 4
Simulating flood risk in Tampa Bay using a machine learning driven approach
Hemal Dey, Md. Munjurul Haque, Wanyun Shao, et al.
npj natural hazards. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
Evaluating the impact of gridded population datasets variability on flood exposure estimates across South Asia
Jiahui Zhang, Yun Xing, Sanjit Kumar Mondal, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Uncertainty pattern and an integration strategy in flood susceptibility modeling: Limited sample size
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Journal of Hydrology (2025), pp. 133184-133184
Closed Access
Enhancing urban resilience through machine learning-supported flood risk assessment: integrating flood susceptibility with building function vulnerability
Xiaoling Qin, Shifu Wang, Meng Meng, et al.
npj Urban Sustainability (2025) Vol. 5, Iss. 1
Open Access
Flood susceptibility mapping to improve models of species distributions
Elham Ebrahimi, Miguel B. Araújo, Babak Naimi
Ecological Indicators (2023) Vol. 157, pp. 111250-111250
Open Access | Times Cited: 9
Flood susceptibility and flood frequency modeling for lower Kosi Basin, India using AHP and Sentinel-1 SAR data in geospatial environment
Vikash Shivhare, Alok Kumar, Reetesh Kumar, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11579-11610
Closed Access | Times Cited: 3
Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern Mediterranean
Hazem Ghassan Abdo, Taorui Zeng, Mohammed J. Alshayeb, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 3
An Internet of Things and AI-Powered Framework for Long-Term Flood Risk Evaluation
Imran Ahmed, Misbah Ahmad, Gwanggil Jeon, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 3812-3819
Closed Access | Times Cited: 8
A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling
Wenkai Li, Yuanchi Liu, Ziyue Liu, et al.
Land (2022) Vol. 11, Iss. 11, pp. 1971-1971
Open Access | Times Cited: 12
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