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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:

Evaluation of machine learning, information theory and multi-criteria decision analysis methods for flood susceptibility mapping under varying spatial scale of analyses
Subhas Bera, Arup Das, Taraknath Mazumder
Remote Sensing Applications Society and Environment (2021) Vol. 25, pp. 100686-100686
Closed Access | Times Cited: 34

Showing 1-25 of 34 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
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
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: 38
Flood hazards and susceptibility detection for Ganga river, Bihar state, India: Employment of remote sensing and statistical approaches
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Results in Engineering (2023) Vol. 21, pp. 101665-101665
Open Access | Times Cited: 35
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: 30
Evaluation of flood susceptibility prediction based on a resampling method using machine learning
Septianto Aldiansyah, Farida Wardani
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 937-961
Open Access | Times Cited: 23
FLOOD HAZARD ZONES PREDICTION USING MACHINE-LEARNING-BASED GEOSPATIAL APPROACH IN LOWER NIGER RIVER BASIN, NIGERIA
Adedoyin Benson Adeyemi, Akinola Adesuji Komolafe
Natural Hazards Research (2025)
Open Access | Times Cited: 1
Assessing the urban road waterlogging risk to propose relative mitigation measures
Xiaotian Qi, Zhiming Zhang
The Science of The Total Environment (2022) Vol. 849, pp. 157691-157691
Closed Access | Times Cited: 36
A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 326-341
Open Access | Times Cited: 22
Enhancing community resilience in arid regions: A smart framework for flash flood risk assessment
Mahdi Nakhaei, Pouria Nakhaei, Mohammad Gheibi, et al.
Ecological Indicators (2023) Vol. 153, pp. 110457-110457
Open Access | Times Cited: 22
A spatially promoted SVM model for GRACE downscaling: Using ground and satellite-based datasets
Hamed Yazdian, Narjes Salmani-Dehaghi, Mohammadali Alijanian
Journal of Hydrology (2023) Vol. 626, pp. 130214-130214
Closed Access | Times Cited: 20
A novel methodological framework for risk zonation and source–sink response concerning heavy-metal contamination in agroecosystems
Lian Chen, Shenglü Zhou, Cuiming Tang, et al.
The Science of The Total Environment (2023) Vol. 868, pp. 161610-161610
Closed Access | Times Cited: 19
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
An explainable integrated machine learning model for mapping soil erosion by wind and water in a catchment with three desiccated lakes
Hamid Gholami, Mehdi Jalali, Marzieh Rezaei, et al.
Aeolian Research (2024) Vol. 67-69, pp. 100924-100924
Closed Access | Times Cited: 7
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
Assessment of urban form resilience: a review of literature in the context of the Global South
Nitesh Shukla, Arup Das, Taraknath Mazumder
Environment Development and Sustainability (2023)
Open Access | Times Cited: 11
Comparison of weighting methods of multicriteria decision analysis (MCDA) in evaluation of flood hazard index
Reza Esmaili, Seyedeh Atefeh Karipour
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8619-8638
Closed Access | Times Cited: 4
Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain
Ali Rostami, Mohammad Taghi Sattari, Halit Apaydın, et al.
Geosciences (2025) Vol. 15, Iss. 3, pp. 110-110
Open Access
Spatiotemporal Flood Impact Assessment Using Google Earth Engine—Case of Darrang District, Assam
R.V. Sarma, Subhas Bera, P. K. Ryngnga
(2025), pp. 133-147
Closed Access
Enhancing Urban Flood Susceptibility Assessment by Capturing the Features of the Urban Environment
Juwei Tian, Yu Chen, Linhan Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1347-1347
Open Access
Flood Susceptibility Assessment in the Teesta River Basin, India: An Advanced Geospatial Artificial Intelligence Approach Leveraging Spatial Data Augmentation
Deepanjan Sen, Swarup Das
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
Accelerated and Interpretable Flood Susceptibility Mapping Through Explainable Deep Learning with Hydrological Prior Knowledge
Jialou Wang, J.E. Sanderson, S. M. Saify Iqbal, et al.
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1540-1540
Open Access
A novel approach in comparing the performance of bivariate statistical methods, boosting, and stacking models in flood susceptibility assessment
Ngoc Hanh Le, Le Phuc Chi Lang, Phan Anh Hang, et al.
Journal of Environmental Management (2025) Vol. 387, pp. 125670-125670
Closed Access
GIScience and Earth Observation Technology in Hydro-Geological Hazard Study—An Overview
Md. Rejaur Rahman, Atiqur Rahman, Sudip Saha
(2025), pp. 3-38
Closed Access
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