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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:

GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam
Chinh Luu, Binh Thai Pham, Tran Van Phong, et al.
Journal of Hydrology (2021) Vol. 599, pp. 126500-126500
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model
Jinyao Lin, Peiting He, Liu Yang, et al.
Sustainable Cities and Society (2022) Vol. 80, pp. 103812-103812
Closed Access | Times Cited: 148
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
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 18
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
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
LULC changes to riverine flooding: A case study on the Jamuna River, Bangladesh using the multilayer perceptron model
Md Mehedi Hasan, Md Sahjalal Mondol Nilay, Nahid Hossain Jibon, et al.
Results in Engineering (2023) Vol. 18, pp. 101079-101079
Open Access | Times Cited: 26
Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
Mingqi Yan, Jiarui Yang, Xiaoyong Ni, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130695-130695
Closed Access | Times Cited: 16
Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS
Huu Duy Nguyen, Quoc‐Huy Nguyen, Quang‐Thanh Bui
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 12, pp. 18701-18722
Closed Access | Times Cited: 9
GIS-Based Comparative Study of the Bayesian Network, Decision Table, Radial Basis Function Network and Stochastic Gradient Descent for the Spatial Prediction of Landslide Susceptibility
Junpeng Huang, Sixiang Ling, Xiyong Wu, et al.
Land (2022) Vol. 11, Iss. 3, pp. 436-436
Open Access | Times Cited: 36
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
Huu Duy Nguyen
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2369-2386
Closed Access | Times Cited: 29
Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
Huu Duy Nguyen
Journal of Water and Climate Change (2022) Vol. 14, Iss. 1, pp. 200-222
Open Access | Times Cited: 29
Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm
Katsuto Shimizu, Wataru Murakami, Takahisa Furuichi, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 851-851
Open Access | Times Cited: 20
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 131-146
Closed Access | Times Cited: 18
Flood prioritization of basins based on geomorphometric properties using principal component analysis, morphometric analysis and Redvan’s priority methods: A case study of Harşit River basin
Redvan Ghasemlounıa, Mustafa Utlu
Journal of Hydrology (2021) Vol. 603, pp. 127061-127061
Closed Access | Times Cited: 35
Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology
Md. Uzzal Mia, Mahfuzur Rahman, Ahmed Elbeltagi, et al.
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-29
Open Access | Times Cited: 23
Flood hazard susceptibility areas mapping using Analytical Hierarchical Process (AHP), Frequency Ratio (FR) and AHP-FR ensemble based on Geographic Information Systems (GIS): a case study for Kastamonu, Türkiye
Osman Salih Yılmaz
Acta Geophysica (2022) Vol. 70, Iss. 6, pp. 2747-2769
Closed Access | Times Cited: 22
A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam
Huu Duy Nguyen, Bui Quang-Thanh, Quoc‐Huy Nguyen, et al.
Hydrological Sciences Journal (2022) Vol. 67, Iss. 7, pp. 1065-1083
Closed Access | Times Cited: 21
Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer
Md. Uzzal Mia, Tahmida Naher Chowdhury, Rabin Chakrabortty, et al.
Land (2023) Vol. 12, Iss. 4, pp. 810-810
Open Access | Times Cited: 13
A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Journal of Environmental Management (2023) Vol. 345, pp. 118790-118790
Closed Access | Times Cited: 12
Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan
Mirza Waleed, Muhammad Sajjad
Journal of Flood Risk Management (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 4
Flood prediction with time series data mining: Systematic review
Dimara Kusuma Hakim, Rahmat Gernowo, Anang Widhi Nirwansyah
Natural Hazards Research (2023) Vol. 4, Iss. 2, pp. 194-220
Open Access | Times Cited: 11
Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey
Osman Salih Yılmaz, Dilek Eren Akyüz, Murat Aksel, et al.
Landscape and Ecological Engineering (2023) Vol. 19, Iss. 2, pp. 271-288
Closed Access | Times Cited: 10
A 3D-Panoramic fusion flood enhanced visualization method for VR
Pei Dang, Jun Zhu, Yuxuan Zhou, et al.
Environmental Modelling & Software (2023) Vol. 169, pp. 105810-105810
Closed Access | Times Cited: 10
Artificial intelligence and machine learning-powered GIS for proactive disaster resilience in a changing climate
Justin Diehr, Ayorinde Ogunyiola, Oluwabunmi Dada
Annals of GIS (2025), pp. 1-14
Open Access
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