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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:

Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa
Jean Baptiste Nsengiyumva, Geping Luo, Amobichukwu Chukwudi Amanambu, et al.
The Science of The Total Environment (2018) Vol. 659, pp. 1457-1472
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
Maher Ibrahim Sameen, Biswajeet Pradhan, Saro Lee
CATENA (2019) Vol. 186, pp. 104249-104249
Open Access | Times Cited: 296
Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Meriame Mohajane, Romulus Costache, Firoozeh Karimi, et al.
Ecological Indicators (2021) Vol. 129, pp. 107869-107869
Open Access | Times Cited: 262
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali, Farhana Parvin, Jana Vojteková, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 857-876
Open Access | Times Cited: 204
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen, Xi Chen, Jianbing Peng, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 93-107
Open Access | Times Cited: 167
Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
Pedro Lima, Stefan Steger, Thomas Glade, et al.
Journal of Mountain Science (2022) Vol. 19, Iss. 6, pp. 1670-1698
Open Access | Times Cited: 81
Uncertainties of landslide susceptibility prediction considering different landslide types
Faming Huang, Haowen Xiong, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 2954-2972
Open Access | Times Cited: 72
Flood susceptibility modeling and hazard perception in Rwanda
Richard Mind’je, Lanhai Li, Amobichukwu Chukwudi Amanambu, et al.
International Journal of Disaster Risk Reduction (2019) Vol. 38, pp. 101211-101211
Closed Access | Times Cited: 116
Integrating multicriteria decision-making analysis for a GIS-based settlement area in the district of Atakum, Samsun, Turkey
Cem Kılıçoğlu, Mehmet Çetin, Burak Arıcak, et al.
Theoretical and Applied Climatology (2020) Vol. 143, Iss. 1-2, pp. 379-388
Closed Access | Times Cited: 97
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: 76
Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment
Jean Baptiste Nsengiyumva, Roberto Valentino
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 1250-1277
Open Access | Times Cited: 73
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
Sherif Ahmed Abu El-Magd, Sk Ajim Ali, Quoc Bao Pham
Earth Science Informatics (2021) Vol. 14, Iss. 3, pp. 1227-1243
Closed Access | Times Cited: 70
The uncertainty of landslide susceptibility prediction modeling: suitability of linear conditioning factors
Faming Huang, Lihan Pan, Xuanmei Fan, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 49
An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India
Sk Ajim Ali, Farhana Parvin, Quoc Bao Pham, et al.
Natural Hazards (2022) Vol. 113, Iss. 3, pp. 1601-1633
Closed Access | Times Cited: 40
Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset
Faming Huang, Zuokui Teng, Zizheng Guo, et al.
Rock Mechanics Bulletin (2023) Vol. 2, Iss. 1, pp. 100028-100028
Open Access | Times Cited: 40
GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
Vincent E. Nwazelibe, Johnbosco C. Egbueri, Chinanu O. Unigwe, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 19
Closed Access | Times Cited: 26
Landslide Susceptibility Mapping Using the Stacking Ensemble Machine Learning Method in Lushui, Southwest China
Xudong Hu, Han Zhang, Hongbo Mei, et al.
Applied Sciences (2020) Vol. 10, Iss. 11, pp. 4016-4016
Open Access | Times Cited: 70
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis
Xinxiang Lei, Wei Chen, Binh Thai Pham
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 7, pp. 443-443
Open Access | Times Cited: 55
Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria
Hazem Ghassan Abdo
International Journal of Environmental Science and Technology (2021) Vol. 19, Iss. 4, pp. 2599-2618
Closed Access | Times Cited: 54
Landslide susceptibility mapping using an ensemble model of Bagging scheme and random subspace–based naïve Bayes tree in Zigui County of the Three Gorges Reservoir Area, China
Xudong Hu, Cheng Huang, Hongbo Mei, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 7, pp. 5315-5329
Closed Access | Times Cited: 43
Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model
Halil Akıncı, Ayşe Yavuz Özalp
Acta Geophysica (2021) Vol. 69, Iss. 3, pp. 725-745
Closed Access | Times Cited: 42
Evaluation of neural network models for landslide susceptibility assessment
Yaning Yi, Wanchang Zhang, Xiwei Xu, et al.
International Journal of Digital Earth (2022) Vol. 15, Iss. 1, pp. 934-953
Open Access | Times Cited: 35
Hybrid meta-heuristic machine learning methods applied to landslide susceptibility mapping in the Sahel-Algiers
Mohammed Amin‎ Benbouras
International Journal of Sediment Research (2022) Vol. 37, Iss. 5, pp. 601-618
Closed Access | Times Cited: 31
Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests
Chongzhi Chen, Zhangquan Shen, Yuhui Weng, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4378-4378
Open Access | Times Cited: 19
Land Use Change Impacts on Water Erosion in Rwanda
Jean de Dieu Nambajimana, Xiubin He, Ji Zhou, et al.
Sustainability (2019) Vol. 12, Iss. 1, pp. 50-50
Open Access | Times Cited: 50
Causes and triggers of deep-seated hillslope instability in the tropics – Insights from a 60-year record of Ikoma landslide (DR Congo)
Antoine Dille, François Kervyn, Toussaint Mugaruka Bibentyo, et al.
Geomorphology (2019) Vol. 345, pp. 106835-106835
Closed Access | Times Cited: 48
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