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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:

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas
Chen Cao, Peihua Xu, Yihong Wang, et al.
Sustainability (2016) Vol. 8, Iss. 9, pp. 948-948
Open Access | Times Cited: 235

Showing 1-25 of 235 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: 536
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: 374
Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
Sunmin Lee, Jeong-Cheol Kim, Hyung-Sup Jung, et al.
Geomatics Natural Hazards and Risk (2017) Vol. 8, Iss. 2, pp. 1185-1203
Open Access | Times Cited: 337
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: 327
GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia
Sk Ajim Ali, Farhana Parvin, Quoc Bao Pham, et al.
Ecological Indicators (2020) Vol. 117, pp. 106620-106620
Open Access | Times Cited: 264
Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process
Matej Vojtek, Jana Vojteková
Water (2019) Vol. 11, Iss. 2, pp. 364-364
Open Access | Times Cited: 261
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: 259
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: 248
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: 233
GIS-based flood hazard mapping using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan
Kashif Ullah, Jiquan Zhang
PLoS ONE (2020) Vol. 15, Iss. 3, pp. e0229153-e0229153
Open Access | Times Cited: 216
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees
Rahebeh Abedi, Romulus Costache, Hossein Shafizadeh‐Moghadam, et al.
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5479-5496
Closed Access | Times Cited: 204
Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance
So-Young Park, Jinsoo Kim
Applied Sciences (2019) Vol. 9, Iss. 5, pp. 942-942
Open Access | Times Cited: 203
Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India
Sumit Das
Remote Sensing Applications Society and Environment (2019) Vol. 14, pp. 60-74
Closed Access | Times Cited: 197
Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
Quang‐Thanh Bui, Quoc‐Huy Nguyen, Xuan Linh Nguyen, et al.
Journal of Hydrology (2019) Vol. 581, pp. 124379-124379
Closed Access | Times Cited: 191
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar, Bonosri Ghose, Shahfahad, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 12, pp. 2277-2300
Closed Access | Times Cited: 184
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania
Romulus Costache, Dieu Tien Bui
The Science of The Total Environment (2019) Vol. 691, pp. 1098-1118
Closed Access | Times Cited: 149
Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management
Romulus Costache
Water Resources Management (2019) Vol. 33, Iss. 9, pp. 3239-3256
Closed Access | Times Cited: 148
Novel ensemble machine learning models in flood susceptibility mapping
Pankaj Prasad, Victor J. Loveson, Bappa Das, et al.
Geocarto International (2021) Vol. 37, Iss. 16, pp. 4571-4593
Closed Access | Times Cited: 106
Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Soroosh Mehravar, Seyed Vahid Razavi-Termeh, Armin Moghimi, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129100-129100
Open Access | Times Cited: 78
A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale
Eirini Efraimidou, Mike Spiliotis
Environmental Processes (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 20
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 18
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open Access | Times Cited: 2
GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique
Alireza Arabameri, Khalil Rezaei, Hamid Reza Pourghasemi, et al.
Environmental Earth Sciences (2018) Vol. 77, Iss. 17
Closed Access | Times Cited: 163
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: 159
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
Alireza Arabameri, Sunil Saha, Wei Chen, et al.
Journal of Hydrology (2020) Vol. 587, pp. 125007-125007
Closed Access | Times Cited: 139
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