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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 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: 141

Showing 1-25 of 141 citing articles:

An Overview of Flood Concepts, Challenges, and Future Directions
Ashok K. Mishra, Sourav Mukherjee, Bruno Merz, et al.
Journal of Hydrologic Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 96
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: 94
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: 87
Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India
Subodh Chandra Pal, Dipankar Ruidas, Asish Saha, et al.
Journal of Cleaner Production (2022) Vol. 346, pp. 131205-131205
Closed Access | Times Cited: 79
Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Soroosh Mehravar, Seyed Vahid Razavi-Termeh, Armin Moghimi, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129100-129100
Open Access | Times Cited: 78
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 susceptibility assessment of the Agartala Urban Watershed, India, using Machine Learning Algorithm
Jatan Debnath, Jimmi Debbarma, Amal Debnath, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 20
Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2021) Vol. 36, pp. 100848-100848
Open Access | Times Cited: 97
Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios
Asish Saha, Subodh Chandra Pal, M. Santosh, et al.
Journal of Cleaner Production (2021) Vol. 320, pp. 128713-128713
Closed Access | Times Cited: 94
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
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
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 26, pp. 34450-34471
Closed Access | Times Cited: 72
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
Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India
Asit Kumar Jaydhar, Subodh Chandra Pal, Asish Saha, et al.
Journal of Cleaner Production (2022) Vol. 369, pp. 133150-133150
Closed Access | Times Cited: 63
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
Vulnerability assessment of drought in India: Insights from meteorological, hydrological, agricultural and socio-economic perspectives
Asish Saha, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Gondwana Research (2022) Vol. 123, pp. 68-88
Closed Access | Times Cited: 54
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: 52
AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network
Abhilash Singh, J. Amutha, Jaiprakash Nagar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 51
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
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127877-127877
Closed Access | Times Cited: 45
A coupled novel framework for assessing vulnerability of water resources using hydrochemical analysis and data-driven models
Abu Reza Md. Towfiqul Islam, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Journal of Cleaner Production (2022) Vol. 336, pp. 130407-130407
Closed Access | Times Cited: 42
Flood susceptibility mapping using support vector regression and hyper‐parameter optimization
Aryan Salvati, Alireza Moghaddam Nia, Ali Salajegheh, et al.
Journal of Flood Risk Management (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 33
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: 29
A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 12
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