Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia
Rui Liu, Yun Chen, Jianping Wu, et al.
Stochastic Environmental Research and Risk Assessment (2015) Vol. 30, Iss. 6, pp. 1575-1590
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

A novel hybrid artificial intelligence approach for flood susceptibility assessment
Kamran Chapi, Vijay P. Singh, Ataollah Shirzadi, et al.
Environmental Modelling & Software (2017) Vol. 95, pp. 229-245
Closed Access | Times Cited: 532
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
Wei Chen, Yang Li, Weifeng Xue, et al.
The Science of The Total Environment (2019) Vol. 701, pp. 134979-134979
Closed Access | Times Cited: 388
Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach
Hai‐Min Lyu, Wenjuan Sun, Shui‐Long Shen, et al.
The Science of The Total Environment (2018) Vol. 626, pp. 1012-1025
Closed Access | Times Cited: 377
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2017) Vol. 625, pp. 575-588
Closed Access | Times Cited: 371
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, et al.
The Science of The Total Environment (2019) Vol. 660, pp. 443-458
Closed Access | Times Cited: 258
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
Dieu Tien Bui, Paraskevas Tsangaratos, Phuong Thao Thi Ngo, et al.
The Science of The Total Environment (2019) Vol. 668, pp. 1038-1054
Closed Access | Times Cited: 246
An improved MCDM combined with GIS for risk assessment of multi-hazards in Hong Kong
Hai‐Min Lyu, Zhen‐Yu Yin
Sustainable Cities and Society (2023) Vol. 91, pp. 104427-104427
Closed Access | Times Cited: 64
Assessing urban flooding risk in response to climate change and urbanization based on shared socio-economic pathways
Mo Wang, Xiaoping Fu, Dongqing Zhang, et al.
The Science of The Total Environment (2023) Vol. 880, pp. 163470-163470
Closed Access | Times Cited: 60
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
Dieu Tien Bui, Mahdi Panahi, Himan Shahabi, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 158
Assessment of Geohazards and Preventative Countermeasures Using AHP Incorporated with GIS in Lanzhou, China
Hai‐Min Lyu, Shui‐Long Shen, Arul Arulrajah
Sustainability (2018) Vol. 10, Iss. 2, pp. 304-304
Open Access | Times Cited: 127
A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier
Xianzhe Tang, Yuqin Shu, Yanqing Lian, et al.
The Science of The Total Environment (2018) Vol. 630, pp. 264-274
Closed Access | Times Cited: 111
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 3, pp. 617-637
Closed Access | Times Cited: 105
Analysis and GIS Mapping of Flooding Hazards on 10 May 2016, Guangzhou, China
Hai‐Min Lyu, Guofu Wang, Shui‐Long Shen, et al.
Water (2016) Vol. 8, Iss. 10, pp. 447-447
Open Access | Times Cited: 100
Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods
Xianzhe Tang, Jiufeng Li, Minnan Liu, et al.
CATENA (2020) Vol. 190, pp. 104536-104536
Closed Access | Times Cited: 100
Urban waterlogging susceptibility assessment based on a PSO-SVM method using a novel repeatedly random sampling idea to select negative samples
Xianzhe Tang, Haoyuan Hong, Yuqin Shu, et al.
Journal of Hydrology (2019) Vol. 576, pp. 583-595
Closed Access | Times Cited: 91
GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India
Pallavi Tomar, Suraj Kumar Singh, Shruti Kanga, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12850-12850
Open Access | Times Cited: 68
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11088-11115
Closed Access | Times Cited: 51
GIS-based risk assessment of flood disaster in the Lijiang River Basin
Ziwei Li, Xiangling Tang, Li Liju, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 34
Flood sensitivity assessment of super cities
Zijun Wang, Xiangyu Chen, Zhanshuo Qi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
Urban flood risk mapping using data-driven geospatial techniques for a flood-prone case area in Iran
Hamid Darabi, Ali Torabi Haghighi, Mohamad Ayob Mohamadi, et al.
Hydrology Research (2019) Vol. 51, Iss. 1, pp. 127-142
Open Access | Times Cited: 58
Risk Assessment of Earthquake-Triggered Geohazards Surrounding Wenchuan, China
Hai‐Min Lyu, Shui‐Long Shen, Jun Yang, et al.
Natural Hazards Review (2020) Vol. 21, Iss. 3
Closed Access | Times Cited: 53
Analyzing the spatiotemporal dynamics of flood risk and its driving factors in a coastal watershed of southeastern China
Jianxiong Tang, Yanmin Li, Shenghui Cui, et al.
Ecological Indicators (2020) Vol. 121, pp. 107134-107134
Open Access | Times Cited: 50
Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): An urban-level analysis of Shenzhen, China
Guyuan Li, Xiaofeng Wu, Jing‐Cheng Han, et al.
Journal of Environmental Management (2022) Vol. 329, pp. 117040-117040
Closed Access | Times Cited: 37
Identification of urban waterlogging indicators and risk assessment based on MaxEnt Model: A case study of Tianjin Downtown
Hanyan Li, Qiao Wang, Muhan Li, et al.
Ecological Indicators (2023) Vol. 158, pp. 111354-111354
Open Access | Times Cited: 22
Analysis of mechanism and optimal value of urban built environment resilience in response to stormwater flooding
Qiao Wang, Ruijia Zhang, H B Li, et al.
Ecological Indicators (2024) Vol. 158, pp. 111625-111625
Open Access | Times Cited: 8
Page 1 - Next Page

Scroll to top