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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:

Comparing performance of random forest and adaptive neuro-fuzzy inference system data mining models for flood susceptibility mapping
Mehdi Vafakhah, Sajad Mohammad Hasani Loor, Hamid Reza Pourghasemi, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 11
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 427
A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Rajib Mitra, Jayanta Das
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 6, pp. 16036-16067
Closed Access | Times Cited: 77
Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods
Hüseyın Akay
Soft Computing (2021) Vol. 25, Iss. 14, pp. 9325-9346
Closed Access | Times Cited: 104
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 51-67
Closed Access | Times Cited: 82
Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Rajib Mitra, Piu Saha, Jayanta Das
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2183-2226
Open Access | Times Cited: 66
Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany
Omar Seleem, Georgy Ayzel, Arthur Costa Tomaz de Souza, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 1640-1662
Open Access | Times Cited: 55
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques
Subbarayan Saravanan, Devanantham Abijith
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15252-15281
Closed Access | Times Cited: 46
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Md Hasanuzzaman, Aznarul Islam, Biswajit Bera, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 127, pp. 103198-103198
Closed Access | Times Cited: 41
Flood susceptibility mapping of Kathmandu metropolitan city using GIS-based multi-criteria decision analysis
Deepak Chaulagain, Parshu Ram Rimal, Noel Ngando, et al.
Ecological Indicators (2023) Vol. 154, pp. 110653-110653
Open Access | Times Cited: 38
Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
Mohamed Zhran, Karam Farrag, Aqil Tariq, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 15
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: 9
Flash Flood Susceptibility Mapping Using GIS-Based AHP Method
Subhasish Choudhury, Amiya Basak, Sankar Biswas, et al.
Springer eBooks (2022), pp. 119-142
Closed Access | Times Cited: 30
Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
Huu Duy Nguyen
Journal of Water and Climate Change (2022) Vol. 14, Iss. 1, pp. 200-222
Open Access | Times Cited: 29
Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
Abu Reza Md. Towfiqul Islam, Md. Mijanur Rahman Bappi, Saeed Alqadhi, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 1-37
Closed Access | Times Cited: 22
Hybrid XGboost model with various Bayesian hyperparameter optimization algorithms for flood hazard susceptibility modeling
Saeid Janizadeh, Mehdi Vafakhah, Zoran Kapelan, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8273-8292
Closed Access | Times Cited: 36
Investigating the effects of land use change on flood hydrograph using HEC-HMS hydrologic model (case study: Ekbatan Dam)
Shahla Azizi, Ali Reza Ilderomi, Hamid R. Noori
Natural Hazards (2021) Vol. 109, Iss. 1, pp. 145-160
Closed Access | Times Cited: 34
Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling
Saeid Janizadeh, Mehdi Vafakhah, Zoran Kapelan, et al.
Water Resources Management (2021) Vol. 35, Iss. 13, pp. 4621-4646
Closed Access | Times Cited: 33
Spatial Prediction of Current and Future Flood Susceptibility: Examining the Implications of Changing Climates on Flood Susceptibility Using Machine Learning Models
Navid Mahdizadeh Gharakhanlou, Liliana Pérez
Entropy (2022) Vol. 24, Iss. 11, pp. 1630-1630
Open Access | Times Cited: 28
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India
Sunil Saha, Amiya Gayen, Bijoy Bayen
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3295-3310
Closed Access | Times Cited: 25
Flash flood susceptibility mapping using stacking ensemble machine learning models
Ioanna Ilia, Paraskevas Tsangaratos, Ploutarchos Tzampoglou, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15010-15036
Closed Access | Times Cited: 24
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: 15
A GIS-Based Comparative Analysis of Frequency Ratio and Statistical Index Models for Flood Susceptibility Mapping in the Upper Krishna Basin, India
Uttam Pawar, Worawit Suppawimut, Nitin Muttil, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3771-3771
Open Access | Times Cited: 20
A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Journal of Environmental Management (2023) Vol. 345, pp. 118790-118790
Closed Access | Times Cited: 12
Integrated approaches for flash flood susceptibility mapping: spatial modeling and comparative analysis of statistical and machine learning models. A case study of the Rheraya watershed, Morocco
Akram Elghouat, Ahmed Algouti, Abdellah Algouti, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 8, pp. 3624-3646
Open Access | Times Cited: 4
A Methodological Comparison of Three Models for Gully Erosion Susceptibility Mapping in the Rural Municipality of El Faid (Morocco)
Ali Azedou, Saïd Lahssini, Abdellatif Khattabi, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 682-682
Open Access | Times Cited: 27
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