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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 Risk Assessment of Global Watersheds Based on Multiple Machine Learning Models
Xiangnan Li, Denghua Yan, Kun Wang, et al.
Water (2019) Vol. 11, Iss. 8, pp. 1654-1654
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Flooding and its relationship with land cover change, population growth, and road density
Mahfuzur Rahman, Chen Ningsheng, Golam Iftekhar Mahmud, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101224-101224
Open Access | Times Cited: 139
Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations
Halit Enes Aydin, Muzaffer Can İban
Natural Hazards (2022) Vol. 116, Iss. 3, pp. 2957-2991
Closed Access | Times Cited: 80
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 46
Identification of sensitivity indicators of urban rainstorm flood disasters: A case study in China
Meimei Wu, Zening Wu, Wei Ge, et al.
Journal of Hydrology (2021) Vol. 599, pp. 126393-126393
Closed Access | Times Cited: 100
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7462-7487
Open Access | Times Cited: 95
Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh
Mahfuzur Rahman, Ningsheng Chen, Ahmed Elbeltagi, et al.
Journal of Environmental Management (2021) Vol. 295, pp. 113086-113086
Closed Access | Times Cited: 84
Spatio-temporal modeling of PM2.5 risk mapping using three machine learning algorithms
Seyedeh Zeinab Shogrkhodaei, Seyed Vahid Razavi-Termeh, Amanollah Fathnia
Environmental Pollution (2021) Vol. 289, pp. 117859-117859
Closed Access | Times Cited: 68
A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam
Hang Ha, Quynh Duy Bui, Huy Nguyen, et al.
Environment Development and Sustainability (2022) Vol. 25, Iss. 2, pp. 1101-1130
Closed Access | Times Cited: 48
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: 45
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
Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends
Asish Saha, Subodh Chandra Pal
Journal of Hydrology (2024) Vol. 632, pp. 130907-130907
Closed Access | Times Cited: 13
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
Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania
Mihnea Cristian Popa, Daniel Peptenatu, Cristian-Constantin Drăghici, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2116-2116
Open Access | Times Cited: 72
Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria
Abdulwaheed Tella, Abdul‐Lateef Balogun
Natural Hazards (2020) Vol. 104, Iss. 3, pp. 2277-2306
Closed Access | Times Cited: 57
A comparison of the analytical hierarchy process and the fuzzy logic approach for flood susceptibility mapping in a semi-arid ungauged basin (Biskra basin: Algeria)
Ali Bouamrane, Oussama Derdous, Noura Dahri, et al.
International Journal of River Basin Management (2020) Vol. 20, Iss. 2, pp. 203-213
Closed Access | Times Cited: 51
Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework
Nikunj K. Mangukiya, Ashutosh Sharma
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 1285-1304
Closed Access | Times Cited: 31
Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends
Carlos Gonzales‐Inca, Mikel Calle, Danny Croghan, et al.
Water (2022) Vol. 14, Iss. 14, pp. 2211-2211
Open Access | Times Cited: 27
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
Technological Advances in Flood Risk Assessment and Related Operational Practices Since the 1970s: A Case Study in the Pikrodafni River of Attica
G.-Fivos Sargentis, Theano Iliopoulou, Romanos Ioannidis, et al.
Water (2025) Vol. 17, Iss. 1, pp. 112-112
Open Access
Spatiotemporal Evolution and Determinants of Urban Flood Resilience: A Case Study of Yellow River Basin
Jie Liu, Xinyu Wang, Gongjing Gao
Sustainability (2025) Vol. 17, Iss. 4, pp. 1433-1433
Open Access
Machine learning applications in risk management: Trends and research agenda
Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Erica Agudelo-Ceballos, et al.
F1000Research (2025) Vol. 14, pp. 233-233
Open Access
Integrating AHP and MCDA for flood risk assessment in Kosovo: a catchment-based perspective
Tropikë Agaj
Natural Hazards (2025)
Closed Access
Flood hazard susceptibility assessment in Chiffa wadi watershed and along the first section of Algeria North–South highway using GIS and AHP method
Abdeldjalil Goumrasa, Mostéfa Guendouz, Mohamed Saïd Guettouche, et al.
Applied Geomatics (2021) Vol. 13, Iss. 4, pp. 565-585
Closed Access | Times Cited: 35
Prediction of Total Nitrogen and Phosphorus in Surface Water by Deep Learning Methods Based on Multi-Scale Feature Extraction
Miao He, Shaofei Wu, Binbin Huang, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1643-1643
Open Access | Times Cited: 23
Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology
Md. Uzzal Mia, Mahfuzur Rahman, Ahmed Elbeltagi, et al.
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-29
Open Access | Times Cited: 23
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