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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:

Enhancing the accuracy of rainfall-induced landslide prediction along mountain roads with a GIS-based random forest classifier
Viet-Hung Dang, Tien Bui Dieu, Xuan-Linh Tran, et al.
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 4, pp. 2835-2849
Closed Access | Times Cited: 74

Showing 26-50 of 74 citing articles:

Comparative study on landslide susceptibility mapping based on different ratios of training samples and testing samples by using RF and FR-RF models
Ke Xu, Zhou Zhao, Wei Chen, et al.
Natural Hazards Research (2023) Vol. 4, Iss. 1, pp. 62-74
Open Access | Times Cited: 17
Rainfall-induced landslide prediction models, part ii: deterministic physical and phenomenologically models
Kyrillos M. P. Ebrahim, Sherif M. M. H. Gomaa, Tarek Zayed, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 3
Open Access | Times Cited: 7
Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-16
Open Access | Times Cited: 57
Landslide Susceptibility Mapping for the Muchuan County (China): A Comparison Between Bivariate Statistical Models (WoE, EBF, and IoE) and Their Ensembles with Logistic Regression
Renwei Li, Nianqin Wang
Symmetry (2019) Vol. 11, Iss. 6, pp. 762-762
Open Access | Times Cited: 53
Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study
Angelina Ageenko, Lærke Christina Hansen, Kevin Lundholm Lyng, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 6, pp. 324-324
Open Access | Times Cited: 23
A novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 2, pp. 2327-2347
Closed Access | Times Cited: 23
Analyzing and forecasting climate variability in Nainital district, India using non-parametric methods and ensemble machine learning algorithms
Yatendra Sharma, Haroon Sajjad, Tamal Kanti Saha, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 4749-4765
Closed Access | Times Cited: 5
Heatwave Damage Prediction Using Random Forest Model in Korea
Minsoo Park, Daekyo Jung, Seungsoo Lee, et al.
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8237-8237
Open Access | Times Cited: 32
GIS-based ensemble modelling of fuzzy system and bivariate statistics as a tool to improve the accuracy of landslide susceptibility mapping
Hassan Abedi Gheshlaghi, Bakhtiar Feizizadeh
Natural Hazards (2021) Vol. 107, Iss. 2, pp. 1981-2014
Closed Access | Times Cited: 26
Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories
Faming Huang, Ye Zhou, Xiaoting Zhou, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 6
Closed Access | Times Cited: 17
Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain
Muhammad Tayyib Riaz, Muhammad Basharat, Maria Teresa Brunetti
Progress in Physical Geography Earth and Environment (2022) Vol. 47, Iss. 3, pp. 315-347
Closed Access | Times Cited: 17
Probabilistic connectivity assessment of road networks exposed to spatially correlated rainfall-triggered landslides
Zhengying He, Mitsuyoshi Akiyama, Putri S. Firdaus, et al.
Reliability Engineering & System Safety (2025), pp. 110800-110800
Open Access
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength
Minh-Tu Cao, Nhat‐Duc Hoang, Viet‐Ha Nhu, et al.
Engineering With Computers (2020) Vol. 38, Iss. 3, pp. 2185-2207
Open Access | Times Cited: 25
Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources
Theodoros Anagnostopoulos, Grigorios L. Kyriakopoulos, Stamatiοs Ntanos, et al.
Sustainability (2020) Vol. 12, Iss. 7, pp. 2817-2817
Open Access | Times Cited: 24
Assessment of Landslide Hazard in Jiangxi Using Geo-information Technology
Penghui Ou, Weicheng Wu, Yaozu Qin, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 22
Landslides and flood multi-hazard assessment using machine learning techniques
Ahmed M. Youssef, Ali M. Mahdi, Hamid Reza Pourghasemi
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 16
GIS-based analysis of landslides susceptibility mapping: a case study of Lushoto district, north-eastern Tanzania
Michael Makonyo, Zahor Zahor
Natural Hazards (2023) Vol. 118, Iss. 2, pp. 1085-1115
Open Access | Times Cited: 9
TOWARDS BIM-GIS INTEGRATION FOR ROAD INTELLIGENT MANAGEMENT SYSTEM
Jorge Jerez Cepa, Rubén Muñoz Pavón, Marcos García Alberti, et al.
Journal of Civil Engineering and Management (2023) Vol. 29, Iss. 7, pp. 621-638
Open Access | Times Cited: 9
Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning
Simeon Stevenson Turay, Charles A. Adams, Augustus Ababio-Donkor
Transportation Planning and Technology (2024), pp. 1-30
Closed Access | Times Cited: 3
Assessment of Landslide Susceptibility Using Different Machine Learning Methods in Longnan City, China
Jiangping Gao, Xiangyang Shi, Linghui Li, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16716-16716
Open Access | Times Cited: 14
Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Advances in Civil Engineering (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 21
Assessment of landslide susceptibility using DBSCAN-AHD and LD-EV methods
Yimin Mao, Deborah Simon Mwakapesa, Yi-can Li, et al.
Journal of Mountain Science (2021) Vol. 19, Iss. 1, pp. 184-197
Closed Access | Times Cited: 18
Modeling landslide susceptibility using data mining techniques of kernel logistic regression, fuzzy unordered rule induction algorithm, SysFor and random forest
Tingyu Zhang, Quan Fu, Chao Li, et al.
Natural Hazards (2022) Vol. 114, Iss. 3, pp. 3327-3358
Closed Access | Times Cited: 12
Application of logistic regression model for hazard assessment of landslides caused by the 2012 Yiliang Ms 5.7 earthquake in Yunnan Province, China
Jiale Jin, Yulong Cui, Chong Xu, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 3, pp. 657-669
Closed Access | Times Cited: 6
A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning
Ann-Kathrin Edrich, Anil Yıldiz, Ribana Roscher, et al.
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8953-8982
Open Access | Times Cited: 2

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