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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 extreme gradient boosting (EGB), Iran
Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 51-67
Closed Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

Flood hazard forecasting and management systems: A review of state-of-the-art modelling, management strategies and policy-practice gap
Dipankar Ruidas, Subodh Chandra Pal, Asish Saha, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104539-104539
Closed Access | Times Cited: 7
Construction of rapid early warning and comprehensive analysis models for urban waterlogging based on AutoML and comparison of the other three machine learning algorithms
Yu-Chen Guo, Lihong Quan, Lili Song, et al.
Journal of Hydrology (2021) Vol. 605, pp. 127367-127367
Closed Access | Times Cited: 38
Hybrid XGboost model with various Bayesian hyperparameter optimization algorithms for flood hazard susceptibility modeling
Saeid Janizadeh, Mehdi Vafakhah, Zoran Kapelan, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8273-8292
Closed Access | Times Cited: 36
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
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
Predicting land use effects on flood susceptibility using machine learning and remote sensing in coastal Vietnam
Van Tich Vu, Huu Duy Nguyen, Phương Lan Vu, et al.
Water Practice & Technology (2023) Vol. 18, Iss. 6, pp. 1543-1555
Open Access | Times Cited: 14
Evaluation of urban flood susceptibility through integrated Bivariate statistics and Geospatial technology
Kalidhas Muthu, R. Sivakumar
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access | Times Cited: 6
Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process
Nguyen Huu Duy, Le T. Pham, Nguyen Xuan Linh, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 1852-1882
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
Rainfall-driven machine learning models for accurate flood inundation mapping in Karachi, Pakistan
Umair Rasool, Xinan Yin, Zongxue Xu, et al.
Urban Climate (2023) Vol. 49, pp. 101573-101573
Closed Access | Times Cited: 13
Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms
Hang Ha, Quynh Duy Bui, D. T. Tran, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 4
Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1247-1283
Closed Access | Times Cited: 19
Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain
Muhammad Tayyib Riaz, Muhammad Basharat, Maria Teresa Brunetti
Progress in Physical Geography Earth and Environment (2022) Vol. 47, Iss. 3, pp. 315-347
Closed Access | Times Cited: 17
Improved flood risk assessment using multi-model ensemble machine-learning techniques in a tropical river basin of Southern India
A.L. Achu, C. D. Aju, M. C. Raicy, et al.
Physical Geography (2025), pp. 1-29
Closed Access
GIS-based flood susceptibility mapping of the lower Bagmati basin in Bihar, using Shannon’s entropy model
Sohidul Islam, Mary Tahir, Shahnaz Parveen
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 3, pp. 3005-3019
Closed Access | Times Cited: 23
Analyzing sensitivity of flood susceptible model in a flood plain river basin
Swades Pal, Pankaj Singha
Geocarto International (2021) Vol. 37, Iss. 24, pp. 7186-7219
Closed Access | Times Cited: 21
Flood hazard mapping using M5 tree algorithms and logistic regression: a case study in East Black Sea Region
Ufuk Yukseler, Ahmet Toprak, Enes Gül, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2033-2047
Closed Access | Times Cited: 9
Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam
Huu Duy Nguyen
Transactions in GIS (2022) Vol. 26, Iss. 7, pp. 2776-2801
Closed Access | Times Cited: 14
Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection
Andréa Eliza Oliveira Luz, Rogério Galante Negri, Klécia Gili Massi, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2429-2429
Open Access | Times Cited: 13
Evaluating the effects of vegetation and land management on runoff control using field plots and machine learning models
Vahid Gholami, Hossein Sahour, Mohammad Reza Khaleghi, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 11, pp. 31202-31217
Closed Access | Times Cited: 13
A comparative evaluation of GIS based flood susceptibility models: a case of Kopai river basin, Eastern India
Ranajit Ghosh, Subhasish Sutradhar, Niladri Das, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 11
Closed Access | Times Cited: 8
Spatial modeling of flood susceptibility using machine learning algorithms
Modeste Meliho, Abdellatif Khattabi, Joseph Asinyo
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 21
Closed Access | Times Cited: 17
Comprehensive evaluation of machine learning algorithms for flood susceptibility mapping in Wardha River sub-basin, India
Asheesh Sharma, Sudhanshu Nerkar, Rishit Banyal, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 2
Snowmelt Flood Susceptibility Assessment in Kunlun Mountains Based on the Swin Transformer Deep Learning Method
Ruibiao Yang, Guoxiong Zheng, Ping Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6360-6360
Open Access | Times Cited: 11
Ungauged Basin Flood Prediction Using Long Short-Term Memory and Unstructured Social Media Data
Jeong-Ha Lee, Seokhwan Hwang
Water (2023) Vol. 15, Iss. 21, pp. 3818-3818
Open Access | Times Cited: 6

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