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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 mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
Guoliang Du, Yongshuang Zhang, Javed Iqbal, et al.
Journal of Mountain Science (2017) Vol. 14, Iss. 2, pp. 249-268
Closed Access | Times Cited: 187

Showing 1-25 of 187 citing articles:

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
Deliang Sun, Haijia Wen, Danzhou Wang, et al.
Geomorphology (2020) Vol. 362, pp. 107201-107201
Closed Access | Times Cited: 383
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
Alireza Arabameri, Sunil Saha, Jagabandhu Roy, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 475-475
Open Access | Times Cited: 182
A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest
Eray Sevgen, Sultan Kocaman, Hakan A. Nefeslioğlu, et al.
Sensors (2019) Vol. 19, Iss. 18, pp. 3940-3940
Open Access | Times Cited: 156
GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
Journal of Mountain Science (2019) Vol. 16, Iss. 3, pp. 595-618
Closed Access | Times Cited: 149
Review of landslide susceptibility assessment based on knowledge mapping
Chen Yong, Jinlong Dong, Fei Guo, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 9, pp. 2399-2417
Closed Access | Times Cited: 96
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
Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-Based FR–RF Integrated Model and Multiresolution DEMs
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 999-999
Open Access | Times Cited: 134
GIS-based spatial prediction of landslide susceptibility using frequency ratio model of Lachung River basin, North Sikkim, India
Subodh Chandra Pal, Indrajit Chowdhuri
SN Applied Sciences (2019) Vol. 1, Iss. 5
Open Access | Times Cited: 125
Application of a GIS-Based Slope Unit Method for Landslide Susceptibility Mapping along the Longzi River, Southeastern Tibetan Plateau, China
Fei Wang, Peihua Xu, Changming Wang, et al.
ISPRS International Journal of Geo-Information (2017) Vol. 6, Iss. 6, pp. 172-172
Open Access | Times Cited: 121
Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
Land Degradation and Development (2018) Vol. 29, Iss. 11, pp. 4035-4049
Open Access | Times Cited: 121
Landslide susceptibility mapping using information value and logistic regression models in Goncha Siso Eneses area, northwestern Ethiopia
Azemeraw Wubalem, Matebie Meten
SN Applied Sciences (2020) Vol. 2, Iss. 5
Open Access | Times Cited: 117
Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Narges Kariminejad, et al.
Geoscience Frontiers (2020) Vol. 11, Iss. 6, pp. 2207-2219
Open Access | Times Cited: 115
Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin
Qiao Hu, Yi Zhou, Shixing Wang, et al.
Geomorphology (2019) Vol. 351, pp. 106975-106975
Closed Access | Times Cited: 102
Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2020) Vol. 742, pp. 140549-140549
Closed Access | Times Cited: 96
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
Sunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1313-1313
Open Access | Times Cited: 95
Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest
Qian He, Ming Wang, Kai Liu
Geomorphology (2021) Vol. 391, pp. 107889-107889
Closed Access | Times Cited: 82
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility
Alireza Arabameri, Omid Asadi Nalivan, Subodh Chandra Pal, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2833-2833
Open Access | Times Cited: 78
Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression
Shuihua Wang‎, Yudong Zhang, Ming Yang, et al.
Integrated Computer-Aided Engineering (2019) Vol. 26, Iss. 4, pp. 411-426
Open Access | Times Cited: 77
Rainfall Induced Landslide Susceptibility Mapping Based on Bayesian Optimized Random Forest and Gradient Boosting Decision Tree Models—A Case Study of Shuicheng County, China
Guangzhi Rong, Si Alu, Kaiwei Li, et al.
Water (2020) Vol. 12, Iss. 11, pp. 3066-3066
Open Access | Times Cited: 77
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Halil Akıncı, Mustafa Zeybek
Natural Hazards (2021) Vol. 108, Iss. 2, pp. 1515-1543
Closed Access | Times Cited: 75
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
Faming Huang, Siyu Tao, Deying Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4436-4436
Open Access | Times Cited: 51
Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region
Jun Liu, Jiyan Wang, Junnan Xiong, et al.
Geocarto International (2022) Vol. 37, Iss. 25, pp. 9817-9846
Closed Access | Times Cited: 48
Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China
Junying Cheng, Xiaoai Dai, Zekun Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2257-2257
Open Access | Times Cited: 44
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 41
GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia
Abinet Addis
Journal of Engineering (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 32
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