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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:

Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms
Sang-Jin Park, Dong-Kun Lee
Environmental Research Letters (2020) Vol. 15, Iss. 9, pp. 094052-094052
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

A probabilistic assessment of urban flood risk and impacts of future climate change
Wen Liu, Qi Feng, Bernard A. Engel, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129267-129267
Closed Access | Times Cited: 58
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: 50
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
Padala Raja Shekar, Aneesh Mathew, P. V. Yeswanth, et al.
Artificial Intelligence in Geosciences (2024) Vol. 5, pp. 100073-100073
Open Access | Times Cited: 16
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7462-7487
Open Access | Times Cited: 98
Flooding trends and their impacts on coastal communities of Western Cape Province, South Africa
Kaitano Dube, Godwell Nhamo, David Chikodzi
GeoJournal (2021) Vol. 87, Iss. S4, pp. 453-468
Open Access | Times Cited: 92
Forest fire susceptibility assessment using google earth engine in Gangwon-do, Republic of Korea
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 432-450
Open Access | Times Cited: 47
Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey
Mohamed S. Abdalzaher, Moez Krichen, Derya Yiltas-Kaplan, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11713-11713
Open Access | Times Cited: 37
Impact assessment of climate change on compound flooding in a coastal city
Kui Xu, Yunchao Zhuang, Lingling Bin, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129166-129166
Closed Access | Times Cited: 35
A research landscape bibliometric analysis on climate change for last decades: Evidence from applications of machine learning
Samuel-Soma M. Ajibade, Abdelhamid Zaïdi, Festus Vıctor Bekun, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20297-e20297
Open Access | Times Cited: 25
Predicting Sea Level Rise Using Artificial Intelligence: A Review
Nur Amira Afiza Bt Saiful Bahari, Ali Najah Ahmed, Kai Lun Chong, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4045-4062
Closed Access | Times Cited: 24
Development of hazard capacity factor design model for net-zero: Evaluation of the flood adaptation effects considering green - gray infrastructure interaction
Jaekyoung Kim, Junsuk Kang
Sustainable Cities and Society (2023) Vol. 96, pp. 104625-104625
Closed Access | Times Cited: 24
Use of machine learning algorithms to assess flood susceptibility in the coastal area of Bangladesh
Md. Hasibul Hasan, Asib Ahmed, K. M. Nafee, et al.
Ocean & Coastal Management (2023) Vol. 236, pp. 106503-106503
Closed Access | Times Cited: 23
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 15
Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review
Hai Sun, Xiaowei Zhang, Xuejing Ruan, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 350-350
Open Access | Times Cited: 14
Forecasting of compound ocean-fluvial floods using machine learning
Sogol Moradian, Amir AghaKouchak, Salem Gharbia, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121295-121295
Closed Access | Times Cited: 13
Impacts of DEM type and resolution on deep learning-based flood inundation mapping
Mohammad Fereshtehpour, Mostafa Esmaeilzadeh, Reza Saleh Alipour, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1125-1145
Closed Access | Times Cited: 9
Evaluation of Floods and Landslides Triggered by a Meteorological Catastrophe (Ordu, Turkey, August 2018) Using Optical and Radar Data
Sultan Kocaman, Beste Tavus, Hakan A. Nefeslioğlu, et al.
Geofluids (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 51
Assessment of urban inundation and prediction of combined flood disaster in the middle reaches of Yellow river basin under extreme precipitation
Zhixin Zhao, Aidi Huo, Qi Liu, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131707-131707
Closed Access | Times Cited: 6
A study on compound flood prediction and inundation simulation under future scenarios in a coastal city
Ming Zhong, Xiao Lu, Xiaodi Li, et al.
Journal of Hydrology (2023) Vol. 628, pp. 130475-130475
Closed Access | Times Cited: 15
Machine learning application in modelling marine and coastal phenomena: a critical review
Ali Pourzangbar, Mahdi Jalali, Maurizio Brocchini
Frontiers in Environmental Engineering (2023) Vol. 2
Open Access | Times Cited: 14
Adaptation strategies for future coastal flooding: Performance evaluation of green and grey infrastructure in South Korea
Sang-Jin Park, Wonmin Sohn, Yong Piao, et al.
Journal of Environmental Management (2023) Vol. 334, pp. 117495-117495
Closed Access | Times Cited: 13
Multi-hazard mapping of droughts and forest fires using a multi-layer hazards approach with machine learning algorithms
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2649-2673
Open Access | Times Cited: 22
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
Climate Change Impacts on the Risk Assessment of Concrete Civil Infrastructures
De‐Cheng Feng, Jiayi Ding, Si-Cong Xie, et al.
ASCE OPEN Multidisciplinary Journal of Civil Engineering (2024) Vol. 2, Iss. 1
Closed Access | Times Cited: 4
In Praise of Computation
Cass R. Sunstein, Lucia A. Reisch
Environmental and Resource Economics (2025)
Open Access
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