Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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: 211

Showing 26-50 of 211 citing articles:

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: 80
Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria
Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Khalil Gholamnia, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2757-2757
Open Access | Times Cited: 80
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India
Rabin Chakrabortty, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Geocarto International (2021) Vol. 37, Iss. 23, pp. 6713-6735
Closed Access | Times Cited: 78
Threats of climate change and land use patterns enhance the susceptibility of future floods in India
Subodh Chandra Pal, Indrajit Chowdhuri, Biswajit Das, et al.
Journal of Environmental Management (2021) Vol. 305, pp. 114317-114317
Closed Access | Times Cited: 78
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility
Subodh Chandra Pal, Alireza Arabameri, Thomas Blaschke, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3675-3675
Open Access | Times Cited: 76
Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia
Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2638-2638
Open Access | Times Cited: 73
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment
Indrajit Chowdhuri, Subodh Chandra Pal, Alireza Arabameri, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3620-3620
Open Access | Times Cited: 72
Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
Susanta Mahato, Swades Pal, Swapan Talukdar, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101175-101175
Open Access | Times Cited: 68
Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation
Indrajit Chowdhuri, Subodh Chandra Pal, Asish Saha, et al.
Ecological Informatics (2021) Vol. 65, pp. 101425-101425
Closed Access | Times Cited: 65
Flood susceptibility mapping using meta-heuristic algorithms
Alireza Arabameri, Amir Seyed Danesh, M. Santosh, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 949-974
Open Access | Times Cited: 57
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
Improving the model robustness of flood hazard mapping based on hyperparameter optimization of random forest
Mingyong Liao, Haijia Wen, Ling Yang, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122682-122682
Closed Access | Times Cited: 30
Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
Konstantinos Plataridis, Zisis Mallios
Journal of Hydrology (2023) Vol. 624, pp. 129961-129961
Closed Access | Times Cited: 29
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
Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning
Romulus Costache, Subodh Chandra Pal, Chaitanya B. Pande, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 13
A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models
Javeria Sarwar, Saud Khan, Muhammad Azmat, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 33495-33514
Closed Access | Times Cited: 12
Enhancing Flooding Depth Forecasting Accuracy in an Urban Area Using a Novel Trend Forecasting Method
Song-Yue Yang, You-Da Jhong, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1359-1380
Closed Access | Times Cited: 11
Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)
Asmae Aichi, Mustapha Ikirri, Mohamed Ait Haddou, et al.
Results in Earth Sciences (2024) Vol. 2, pp. 100019-100019
Open Access | Times Cited: 11
Pluvial flood risk assessment for 2021–2050 under climate change scenarios in the Metropolitan City of Venice
Elena Allegri, Marco Zanetti, Silvia Torresan, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169925-169925
Open Access | Times Cited: 9
Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Saman Razavi, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Urban Flood Hazard Assessment Based on Machine Learning Model
Guoyi Li, Weiwei Shao, Xin‐zhuan Su, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 1
Artificial neural networks for flood susceptibility analysis in Gangarampur sub-division of Dakshin Dinajpur, West Bengal, India
Ankeli Paul
Frontiers in Engineering and Built Environment (2025) Vol. 5, Iss. 1, pp. 1-21
Open Access | Times Cited: 1
Flood Susceptibility Analysis with Integrated Geographic Information System and Analytical Hierarchy Process: A Multi-Criteria Framework for Risk Assessment and Mitigation
Sujan Shrestha, Devendra Dahal, Bishal Poudel, et al.
Water (2025) Vol. 17, Iss. 7, pp. 937-937
Open Access | Times Cited: 1
Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment
Rabin Chakrabortty, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Journal of the Indian Society of Remote Sensing (2020) Vol. 48, Iss. 5, pp. 765-789
Closed Access | Times Cited: 66

Scroll to top