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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:

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

Showing 1-25 of 68 citing articles:

The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 105
A systematic review of the flood vulnerability using geographic information system
Shiau Wei Chan, Sheikh Kamran Abid, Noralfishah Sulaiman, et al.
Heliyon (2022) Vol. 8, Iss. 3, pp. e09075-e09075
Open Access | Times Cited: 70
GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 45
Investigating the Role of the Key Conditioning Factors in Flood Susceptibility Mapping Through Machine Learning Approaches
Khalifa M. Al‐Kindi, Zahra Alabri
Earth Systems and Environment (2024) Vol. 8, Iss. 1, pp. 63-81
Open Access | Times Cited: 19
Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin
Supriya Ghosh, Soumik Saha, Biswajit Bera
Natural Hazards Research (2022) Vol. 2, Iss. 4, pp. 363-374
Open Access | Times Cited: 63
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
Evaluating the effects of landscape fragmentation on ecosystem services: A three-decade perspective
Gouranga Biswas, Anuradha Sengupta, Faisal M. Alfaisal, et al.
Ecological Informatics (2023) Vol. 77, pp. 102283-102283
Closed Access | Times Cited: 27
Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis
Roshani Singh, Haroon Sajjad, Md Hibjur Rahaman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102494-102494
Open Access | Times Cited: 16
Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learning
Mohammadtaghi Avand, Ali Nasiri Khiavi, Majid Khazaei, et al.
Journal of Environmental Management (2021) Vol. 295, pp. 113040-113040
Closed Access | Times Cited: 51
Novel hybrid models to enhance the efficiency of groundwater potentiality model
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 34
Developing Robust Flood Susceptibility Model with Small Numbers of Parameters in Highly Fertile Regions of Northwest Bangladesh for Sustainable Flood and Agriculture Management
Showmitra Kumar Sarkar, Saifullah Bin Ansar, Khondaker Mohammed Mohiuddin Ekram, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 3982-3982
Open Access | Times Cited: 29
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
Geospatial modelling of floods: a literature review
Evangelina Avila-Aceves, Wenseslao Plata-Rocha, Sergio Alberto Monjardín-Armenta, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 11, pp. 4109-4128
Closed Access | Times Cited: 22
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: 21
Research Progress and Prospects of Urban Flooding Simulation: From Traditional Numerical Models to Deep Learning Approaches
Bowei Zeng, Guoru Huang, Wenjie Chen
Environmental Modelling & Software (2024), pp. 106213-106213
Closed Access | Times Cited: 7
Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia
Saeed Alqadhi, Javed Mallick, Swapan Talukdar, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 3, pp. 3743-3762
Closed Access | Times Cited: 37
Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management
Showmitra Kumar Sarkar, Swapan Talukdar, Atiqur Rahman, et al.
Frontiers in Engineering and Built Environment (2021) Vol. 2, Iss. 1, pp. 43-54
Open Access | Times Cited: 35
Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach
Quoc Bao Pham, Sk Ajim Ali, Elżbieta Bielecka, et al.
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 1043-1081
Closed Access | Times Cited: 25
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
Nirsobha Bhuyan, Haroon Sajjad, Tamal Kanti Saha, et al.
CATENA (2023) Vol. 234, pp. 107581-107581
Open Access | Times Cited: 16
Spatial Mapping of Flood Susceptibility Using Decision Tree–Based Machine Learning Models for the Vembanad Lake System in Kerala, India
Parthasarathy Kulithalai Shiyam Sundar, Subrahmanya Kundapura
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 15
Flood inundation assessment of UNESCO World Heritage Sites using remote sensing and spatial metrics in Hoi An City, Vietnam
Diem-My Thi Nguyen, Do Thi Nhung, S. V. Nghiem, et al.
Ecological Informatics (2023) Vol. 79, pp. 102427-102427
Open Access | Times Cited: 14
Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models
Javed Mallick, Meshel Q. Alkahtani, Hoang Thi Hang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 20, pp. 29811-29835
Closed Access | Times Cited: 5
Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management
Javed Mallick, Saeed Alqadhi, Hoang Thi Hang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 30, pp. 42948-42969
Closed Access | Times Cited: 5
Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania
Daniel Constantin Diaconu, Romulus Costache, Abu Reza Md. Towfiqul Islam, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101892-101892
Open Access | Times Cited: 5
A Systematic Literature Review on Classification Machine Learning for Urban Flood Hazard Mapping
Maelaynayn El baida, Mohamed Hosni, Farid Boushaba, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5823-5864
Closed Access | Times Cited: 5
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