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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:

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

Showing 1-25 of 371 citing articles:

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
The Science of The Total Environment (2018) Vol. 651, pp. 2087-2096
Open Access | Times Cited: 653
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi, Himan Shahabi, Binh Thai Pham, et al.
Journal of Hydrology (2019) Vol. 573, pp. 311-323
Closed Access | Times Cited: 546
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Jie Dou, Ali P. Yunus, Dieu Tien Bui, et al.
The Science of The Total Environment (2019) Vol. 662, pp. 332-346
Closed Access | Times Cited: 491
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Haoyuan Hong, Junzhi Liu, Dieu Tien Bui, et al.
CATENA (2018) Vol. 163, pp. 399-413
Closed Access | Times Cited: 456
Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 419
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
Wei Chen, Jianbing Peng, Haoyuan Hong, et al.
The Science of The Total Environment (2018) Vol. 626, pp. 1121-1135
Open Access | Times Cited: 393
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: 385
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
Dieu Tien Bui, Nhat‐Duc Hoang, Francisco Martínez–Álvarez, et al.
The Science of The Total Environment (2019) Vol. 701, pp. 134413-134413
Closed Access | Times Cited: 325
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
Hossein Shafizadeh‐Moghadam, Roozbeh Valavi, Himan Shahabi, et al.
Journal of Environmental Management (2018) Vol. 217, pp. 1-11
Open Access | Times Cited: 320
GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models
Wei Chen, Hui Li, Enke Hou, et al.
The Science of The Total Environment (2018) Vol. 634, pp. 853-867
Open Access | Times Cited: 287
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
Wei Chen, Haoyuan Hong, Shaojun Li, et al.
Journal of Hydrology (2019) Vol. 575, pp. 864-873
Closed Access | Times Cited: 264
Tackling environmental challenges in pollution controls using artificial intelligence: A review
Zhiping Ye, Jiaqian Yang, Na Zhong, et al.
The Science of The Total Environment (2019) Vol. 699, pp. 134279-134279
Closed Access | Times Cited: 263
Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India
Mehebub Sahana, Haoyuan Hong, Haroon Sajjad
The Science of The Total Environment (2018) Vol. 628-629, pp. 1557-1566
Closed Access | Times Cited: 256
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: 254
Flood susceptibility mapping using convolutional neural network frameworks
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
Journal of Hydrology (2019) Vol. 582, pp. 124482-124482
Closed Access | Times Cited: 253
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
Wei Chen, Xiaoshen Xie, Jianbing Peng, et al.
CATENA (2018) Vol. 164, pp. 135-149
Open Access | Times Cited: 251
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: 243
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
Mohammad Ahmadlou, Mohammad Karimi, Somayeh Alizadeh, et al.
Geocarto International (2018) Vol. 34, Iss. 11, pp. 1252-1272
Closed Access | Times Cited: 241
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
Wei Chen, Mahdi Panahi, Paraskevas Tsangaratos, et al.
CATENA (2018) Vol. 172, pp. 212-231
Closed Access | Times Cited: 240
Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis
Mahfuzur Rahman, Chen Ningsheng, Md Monirul Islam, et al.
Earth Systems and Environment (2019) Vol. 3, Iss. 3, pp. 585-601
Closed Access | Times Cited: 229
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques
Romulus Costache, Quoc Bao Pham, Ehsan Sharifi, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 106-106
Open Access | Times Cited: 226
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques
Kuan-Tsung Chang, Abdelaziz Merghadi, Ali P. Yunus, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 225
Flood hazard mapping methods: A review
Rofiat Bunmi Mudashiru, Nuridah Sabtu, Ismail Abustan, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126846-126846
Closed Access | Times Cited: 220
Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East
Shereif H. Mahmoud, Thian Yew Gan
Journal of Cleaner Production (2018) Vol. 196, pp. 216-229
Closed Access | Times Cited: 218
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Yi Wang, Haoyuan Hong, Wei Chen, et al.
Journal of Environmental Management (2019) Vol. 247, pp. 712-729
Closed Access | Times Cited: 217
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