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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 mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty
Advances in Space Research (2019) Vol. 65, Iss. 5, pp. 1466-1489
Closed Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125275-125275
Closed Access | Times Cited: 301
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3568-3568
Open Access | Times Cited: 188
Threats of climate and land use change on future flood susceptibility
Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Journal of Cleaner Production (2020) Vol. 272, pp. 122757-122757
Closed Access | Times Cited: 154
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5609-5609
Open Access | Times Cited: 145
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: 140
Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms
Asish Saha, Subodh Chandra Pal, Alireza Arabameri, et al.
Water (2021) Vol. 13, Iss. 2, pp. 241-241
Open Access | Times Cited: 137
Towards better flood risk management: Assessing flood risk and investigating the potential mechanism based on machine learning models
Jialei Chen, Guoru Huang, Wenjie Chen
Journal of Environmental Management (2021) Vol. 293, pp. 112810-112810
Closed Access | Times Cited: 128
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
Wei Chen, Xinxiang Lei, Rabin Chakrabortty, et al.
Journal of Environmental Management (2021) Vol. 284, pp. 112015-112015
Closed Access | Times Cited: 126
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, et al.
Journal of Environmental Management (2021) Vol. 298, pp. 113551-113551
Open Access | Times Cited: 121
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Geocarto International (2021) Vol. 37, Iss. 16, pp. 4594-4627
Closed Access | Times Cited: 103
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
Dipankar Ruidas, Rabin Chakrabortty, Abu Reza Md. Towfiqul Islam, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 93
Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India
Dipankar Ruidas, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, et al.
Exposure and Health (2022) Vol. 15, Iss. 1, pp. 113-131
Closed Access | Times Cited: 86
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: 83
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
Romulus Costache, Tran Trung Tin, Alireza Arabameri, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127747-127747
Closed Access | Times Cited: 73
Flood susceptible prediction through the use of geospatial variables and machine learning methods
Navid Mahdizadeh Gharakhanlou, Liliana Pérez
Journal of Hydrology (2023) Vol. 617, pp. 129121-129121
Closed Access | Times Cited: 50
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: 47
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
Mohd Rihan, Ahmed Ali Bindajam, Swapan Talukdar, et al.
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 426-443
Closed Access | Times Cited: 46
Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan
Shoukat Ali Shah, Songtao Ai
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104503-104503
Open Access | Times Cited: 21
Flood susceptibility mapping using an improved analytic network process with statistical models
Peyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 2282-2314
Open Access | Times Cited: 122
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
Rabin Chakrabortty, Subodh Chandra Pal, Mehebub Sahana, et al.
Natural Hazards (2020) Vol. 104, Iss. 2, pp. 1259-1294
Closed Access | Times Cited: 109
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: 97
Characterization of groundwater potential zones in water-scarce hardrock regions using data driven model
Dipankar Ruidas, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 24
Closed Access | Times Cited: 88
Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India
Indrajit Chowdhuri, Subodh Chandra Pal, Alireza Arabameri, et al.
Environmental Earth Sciences (2020) Vol. 79, Iss. 20
Closed Access | Times Cited: 83
Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Natural Hazards (2021) Vol. 107, Iss. 1, pp. 697-722
Closed Access | Times Cited: 78
Prediction of highly flood prone areas by GIS based heuristic and statistical model in a monsoon dominated region of Bengal Basin
Sadhan Malik, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Remote Sensing Applications Society and Environment (2020) Vol. 19, pp. 100343-100343
Closed Access | Times Cited: 77
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