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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:

A step toward considering the return period in flood spatial modeling
Bahram Choubin, Farzaneh Sajedi Hosseini, Omid Rahmati, et al.
Natural Hazards (2022) Vol. 115, Iss. 1, pp. 431-460
Closed Access | Times Cited: 16

Showing 16 citing articles:

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: 46
Urban Flood Risk Assessment Based on a Combination of Subjective and Objective Multi-Weight Methods
Jinyi Chen, Cheng Gao, Hong Zhou, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3694-3694
Open Access | Times Cited: 9
Urban flood susceptibility mapping using remote sensing, social sensing and an ensemble machine learning model
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬
Sustainable Cities and Society (2024) Vol. 108, pp. 105508-105508
Closed Access | Times Cited: 8
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: 6
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
Employment of hydraulic model and social media data for flood hazard assessment in an urban city
Mao Ouyang, Shunji Kotsuki, Yuka Ito, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101261-101261
Closed Access | Times Cited: 23
Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models
Okan Mert Katipoğlu, Metin Sarıgöl
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2205-2224
Closed Access | Times Cited: 9
Research progress of the artificial intelligence application in wastewater treatment during 2012–2022: a bibliometric analysis
Xiaoman Yu, Shuai Chen, Xiaojiao Zhang, et al.
Water Science & Technology (2023) Vol. 88, Iss. 7, pp. 1750-1766
Open Access | Times Cited: 9
Scientometric analysis of flood forecasting for Asia region and discussion on machine learning methods
Peiying Li, Yanjie Zhao, Muhammad Sufian, et al.
Open Geosciences (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Frequency-Based Flood Risk Assessment and Mapping of a Densely Populated Kano City in Sub-Saharan Africa Using MOVE Framework
Ali Aldrees, Abdulrasheed Mohammed, Salisu Dan’azumi, et al.
Water (2024) Vol. 16, Iss. 7, pp. 1013-1013
Open Access | Times Cited: 1
Rainstorm-induced flood risk assessment in developed urban area using a data-driven approach with watershed units
Suhua Zhou, Zhiwen Xu, Qinshan Zhang, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174135-174135
Closed Access | Times Cited: 1
Averaged Neural Network Integrated with Recursive Feature Elimination for Flood Hazard Assessment
Bahram Choubin, Abolfazl Jaafari, Jalal Henareh, et al.
(2023), pp. 000733-000738
Closed Access | Times Cited: 3
Temporal evolution of lake level fluctuations under flood conditions and impacts on the littoral ecosystems
Marzia Ciampittiello, Helmi Saidi, Lyudmila Kamburska, et al.
Journal of Limnology (2023) Vol. 81, Iss. s2
Open Access | Times Cited: 3
Mapping potential inundation areas due to riverine floods using ensemble models of credal decision tree with bagging, dagging, decorate, multiboost, and random subspace
Zhongjie Shen, Haisheng Deng, Alireza Arabameri, et al.
Advances in Space Research (2023) Vol. 72, Iss. 11, pp. 4778-4794
Closed Access | Times Cited: 2
Illuminating groundwater flow modeling uncertainty through spatial discretization and complexity exploration
Saeideh Samani
Acta Geophysica (2024)
Closed Access
Flood risk assessment by heterogeneous ensemble learning techniques: A case study of Shenzhen City, China
Yanlong Wang, Zhan Tian, Shuyu Zhang, et al.
Journal of Hydrology (2024), pp. 132566-132566
Closed Access
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