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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 mapping in an arid region of Pakistan through ensemble machine learning model
Andaleeb Yaseen, Jianzhong Lu, Xiaoling Chen
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3041-3061
Open Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

Flood susceptibility mapping using ANNs: a case study in model generalization and accuracy from Ontario, Canada
Rahma Khalid, Usman T. Khan
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 2
Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran
Mohammad Bashirgonbad, Behnoush Farokhzadeh, Vahid Gholami
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 38, pp. 50427-50442
Closed Access | Times Cited: 2
Assessing the Cost of Hospital Building Materials: Effects of Temperature-Precipitation-Flood Dynamics on Landuse and Landcover
You Min, Sheng Chen, Muhammad Rizwan Quddusi, et al.
Rangeland Ecology & Management (2024) Vol. 99, pp. 1-17
Closed Access | Times Cited: 2
Assessing Coastal Flood Susceptibility in East Java, Indonesia: Comparison of Statistical Bivariate and Machine Learning Techniques
Entin Hidayah, Indarto Indarto, Wei-Koon Lee, et al.
Water (2022) Vol. 14, Iss. 23, pp. 3869-3869
Open Access | Times Cited: 11
Assessing the risk of check dam failure due to heavy rainfall using machine learning on the Loess Plateau, China
Yulan Chen, Jianjun Li, Juying Jiao, et al.
International Soil and Water Conservation Research (2023) Vol. 12, Iss. 3, pp. 506-520
Open Access | Times Cited: 4
Long-term changes in temperature, specific humidity, and precipitation in Bangladesh revealed by ERA5 data
Abeda Tabassum, Kyeongjoo Park, Jihoon Shin, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 3, pp. 1915-1925
Closed Access | Times Cited: 4
Enhancing flood prediction in Southern West Bengal, India using ensemble machine learning models optimized with symbiotic organisms search algorithm
Gilbert Hinge, Swati Sirsant, Amandeep Kumar, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Advancing flood susceptibility modeling using stacking ensemble machine learning: A multi-model approach
Hui-Lin Yang, Rui Yao, Linyao Dong, et al.
Journal of Geographical Sciences (2024) Vol. 34, Iss. 8, pp. 1513-1536
Closed Access | Times Cited: 1
From Data to Decision: Interpretable Machine Learning for Predicting Flood Susceptibility in Gdańsk, Poland
Khansa Gulshad, Andaleeb Yaseen, Michał Szydłowski
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3902-3902
Open Access | Times Cited: 1
Assessment of urban flood susceptibility based on a novel integrated machine learning method
Haidong Yang, Ting Zou, Biyu Liu
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Geospatial mapping of tsunami susceptibility in Parangtritis coastal area of Yogyakarta, Indonesia
Mulyadi Alwi, Bachtiar W. Mutaqin
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 15
Closed Access | Times Cited: 7
Flood mitigation effects of lake-reservoir group on the Poyang Lake watershed based on runoff-weighted model from multi-satellite weekly observation
Xin Wang, Jianzhong Lu, Xiaoling Chen, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101265-101265
Closed Access | Times Cited: 4
Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia
Sani I. Abba, Ahmed M. Al‐Areeq, Mustafa Ghaleb, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 15961-15980
Closed Access
Enhancing Flash Flood Susceptibility Modeling in Arid Regions: Integrating Digital Soil Mapping and Machine Learning Algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Research Square (Research Square) (2024)
Closed Access
Flood susceptibility assessment on the proposed high-speed train track Qena-Hurghada-Safaga (QHS), Egypt
Mohamed Saad Ali, Mostafa Abdel-Ghany, Hussein Mostafa Moftah
Research Square (Research Square) (2023)
Open Access
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