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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:

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125615-125615
Closed Access | Times Cited: 121

Showing 26-50 of 121 citing articles:

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
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
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access | Times Cited: 1
Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models
Hang Ha, Chinh Luu, Quynh Duy Bui, et al.
Natural Hazards (2021) Vol. 109, Iss. 1, pp. 1247-1270
Closed Access | Times Cited: 50
Flood forecasting in urban reservoir using hybrid recurrent neural network
Bo Cai, Yaoxiang Yu
Urban Climate (2022) Vol. 42, pp. 101086-101086
Closed Access | Times Cited: 32
The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process
Moloud Abdar, Abbas Khosravi, Sheikh Mohammed Shariful Islam, et al.
IEEE Systems Man and Cybernetics Magazine (2022) Vol. 8, Iss. 3, pp. 28-40
Closed Access | Times Cited: 31
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
Flood hazard assessment in Yemen using a novel hybrid approach of Grey Wolf and Levenberg Marquardt optimizers
Ahmed M. Al‐Areeq, Radhwan A. A. Saleh, Abdulnoor A. J. Ghanim, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 18
Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches
Liadira Kusuma Widya, Fatemeh Rezaie, Woojin Lee, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121291-121291
Closed Access | Times Cited: 7
Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique
Hao Huang, Zhaoli Wang, Yaoxing Liao, et al.
Ecological Informatics (2024) Vol. 84, pp. 102904-102904
Open Access | Times Cited: 7
Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle
Thuy‐Anh Nguyen, Haï-Bang Ly, Binh Thai Pham
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 44
Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam
Chinh Luu, Quynh Duy Bui, Romulus Costache, et al.
Natural Hazards (2021) Vol. 108, Iss. 3, pp. 3229-3251
Closed Access | Times Cited: 34
A novel hybrid GIS ‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds
Roya Sahraei, Yousef Kanani‐Sadat, Saeid Homayouni, et al.
Journal of Flood Risk Management (2022) Vol. 16, Iss. 2
Open Access | Times Cited: 27
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India
Sunil Saha, Amiya Gayen, Bijoy Bayen
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3295-3310
Closed Access | Times Cited: 25
Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
(2022)
Open Access | Times Cited: 24
Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques
Romulus Costache, Alireza Arabameri, Iulia Costache, et al.
Journal of Environmental Management (2022) Vol. 316, pp. 115316-115316
Open Access | Times Cited: 24
A hybrid deep learning model based on feature capture of water level influencing factors and prediction error correction for water level prediction of cascade hydropower stations under multiple time scales
Xin Ma, Hao Hu, Yufeng Ren
Journal of Hydrology (2023) Vol. 617, pp. 129044-129044
Closed Access | Times Cited: 14
Improved remote sensing reference evapotranspiration estimation using simple satellite data and machine learning
Dan Liu, Zhongjing Wang, Lei Wang, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174480-174480
Closed Access | Times Cited: 5
Generating a Landslide Susceptibility Map Using Integrated Meta-Heuristic Optimization and Machine Learning Models
Tuba Bostan
Sustainability (2024) Vol. 16, Iss. 21, pp. 9396-9396
Open Access | Times Cited: 5
A novel combination of deep neural network and Manta ray foraging optimization for flood susceptibility mapping in Quang Ngai province, Vietnam
Huu Duy Nguyen, Quoc‐Huy Nguyen, Quan Vu Viet Du, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7531-7555
Closed Access | Times Cited: 32
Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods
Huu Duy Nguyen, Dinh Kha Dang, Quoc‐Huy Nguyen, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12810-12845
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
Enhancing a convolutional neural network model for land subsidence susceptibility mapping using hybrid meta-heuristic algorithms
Ali Asghar Jafari, Ali Asghar Alesheikh, Fatemeh Rezaie, et al.
International Journal of Coal Geology (2023) Vol. 277, pp. 104350-104350
Closed Access | Times Cited: 12

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