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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:

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
Wei Chen, Himan Shahabi, Shuai Zhang, et al.
Applied Sciences (2018) Vol. 8, Iss. 12, pp. 2540-2540
Open Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

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: 390
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
Dieu Tien Bui, Paraskevas Tsangaratos, Viet-Tien Nguyen, et al.
CATENA (2020) Vol. 188, pp. 104426-104426
Closed Access | Times Cited: 390
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
Phuong Thao Thi Ngo, Mahdi Panahi, Khabat Khosravi, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 505-519
Open Access | Times Cited: 319
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 266-266
Open Access | Times Cited: 301
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: 268
GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
Xi Chen, Wei Chen
CATENA (2020) Vol. 196, pp. 104833-104833
Closed Access | Times Cited: 247
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: 231
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: 222
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2749-2749
Open Access | Times Cited: 221
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
Qingfeng He, Himan Shahabi, Ataollah Shirzadi, et al.
The Science of The Total Environment (2019) Vol. 663, pp. 1-15
Closed Access | Times Cited: 220
Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models
Ebrahim Nohani, Meysam Moharrami, Siyamack Sharafi, et al.
Water (2019) Vol. 11, Iss. 7, pp. 1402-1402
Open Access | Times Cited: 215
Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data
Navid Kardani, Annan Zhou, Majidreza Nazem, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2020) Vol. 13, Iss. 1, pp. 188-201
Open Access | Times Cited: 202
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 groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
Wei Chen, Mahdi Panahi, Khabat Khosravi, et al.
Journal of Hydrology (2019) Vol. 572, pp. 435-448
Closed Access | Times Cited: 177
Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
Duie Tien Bui, Khabat Khosravi, Himan Shahabi, et al.
Remote Sensing (2019) Vol. 11, Iss. 13, pp. 1589-1589
Open Access | Times Cited: 166
Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models
Wei Chen, Zenghui Sun, Jichang Han
Applied Sciences (2019) Vol. 9, Iss. 1, pp. 171-171
Open Access | Times Cited: 154
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Wei Chen, Haoyuan Hong, Mahdi Panahi, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3755-3755
Open Access | Times Cited: 154
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
Binh Thai Pham, Manh Duc Nguyen, Dong Van Dao, et al.
The Science of The Total Environment (2019) Vol. 679, pp. 172-184
Closed Access | Times Cited: 151
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
Vu Nguyen, Binh Thai Pham, Ba Thao Vu, et al.
Forests (2019) Vol. 10, Iss. 2, pp. 157-157
Open Access | Times Cited: 148
Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms
Abdul‐Lateef Balogun, Fatemeh Rezaie, Quoc Bao Pham, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101104-101104
Open Access | Times Cited: 144
Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India
Kanu Mandal, Sunil Saha, Sujit Mandal
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101203-101203
Open Access | Times Cited: 131
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, et al.
Journal of Environmental Management (2021) Vol. 298, pp. 113551-113551
Open Access | Times Cited: 128
Flood risk assessment using deep learning integrated with multi-criteria decision analysis
Binh Thai Pham, Chinh Luu, Dong Van Dao, et al.
Knowledge-Based Systems (2021) Vol. 219, pp. 106899-106899
Closed Access | Times Cited: 112
Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm
Ahmed Cemiloglu, Li-Cai Zhu, Agab Bakheet Mohammednour, et al.
Land (2023) Vol. 12, Iss. 7, pp. 1397-1397
Open Access | Times Cited: 56
A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China
Yi Wang, Haoyuan Hong, Wei Chen, et al.
Remote Sensing (2018) Vol. 11, Iss. 1, pp. 62-62
Open Access | Times Cited: 161
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