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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 1-25 of 74 citing articles:

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
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
Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
Viet‐Ha Nhu, Nhat‐Duc Hoang, Hieu Nguyen, et al.
CATENA (2020) Vol. 188, pp. 104458-104458
Closed Access | Times Cited: 140
Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity classification
Nhat‐Duc Hoang, Tran Van-Duc
Automation in Construction (2023) Vol. 148, pp. 104767-104767
Closed Access | Times Cited: 66
Dengue dynamics, predictions, and future increase under changing monsoon climate in India
Yacob Sophia, Mathew Koll Roxy, Raghu Murtugudde, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods
Abdelaziz Merghadi, Abderrahmane Boumezbeur, Dieu Tien Bui
ISPRS International Journal of Geo-Information (2018) Vol. 7, Iss. 7, pp. 268-268
Open Access | Times Cited: 154
Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study
Nguyễn Ngọc Thạch, Dang Bao-Toan Ngo, Pham Xuan-Canh, et al.
Ecological Informatics (2018) Vol. 46, pp. 74-85
Open Access | Times Cited: 153
Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks
Lucimara Bragagnolo, Roberto Valmir da Silva, J.M.V. Grzybowski
Environmental Modelling & Software (2019) Vol. 123, pp. 104565-104565
Closed Access | Times Cited: 126
Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree
Xuan Luan Truong, Muneki Mitamura, Yasuyuki Kono, et al.
Applied Sciences (2018) Vol. 8, Iss. 7, pp. 1046-1046
Open Access | Times Cited: 100
GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method
Dieu Tien Bui, Van Hung Le, Nhat‐Duc Hoang
Ecological Informatics (2018) Vol. 48, pp. 104-116
Open Access | Times Cited: 96
Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
Binh Thai Pham, Indra Prakash, Abolfazl Jaafari, et al.
Journal of the Indian Society of Remote Sensing (2018) Vol. 46, Iss. 9, pp. 1457-1470
Closed Access | Times Cited: 89
A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment
Nanda Khoirunisa, Cheng‐Yu Ku, Chih‐Yu Liu
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 3, pp. 1072-1072
Open Access | Times Cited: 79
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
Viet-Hung Dang, Nhat‐Duc Hoang, Le-Mai-Duyen Nguyen, et al.
Forests (2020) Vol. 11, Iss. 1, pp. 118-118
Open Access | Times Cited: 78
Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
Alireza Arabameri, Subodh Chandra Pal, Romulus Costache, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 469-498
Open Access | Times Cited: 77
Slope Unit-Based Landslide Susceptibility Mapping Using Certainty Factor, Support Vector Machine, Random Forest, CF-SVM and CF-RF Models
Zhou Zhao, Zeng yuan Liu, Chong Xu
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 67
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
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 988-988
Open Access | Times Cited: 17
Evaluating landslide susceptibility: the impact of resolution and hybrid integration approaches
Xia Zhao, Wei Chen, Paraskevas Tsangaratos, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning
Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Landslide Susceptibility Mapping for Austria Using Geons and Optimization with the Dempster-Shafer Theory
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Omid Ghorbanzadeh, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5393-5393
Open Access | Times Cited: 55
Mapping Susceptibility With Open-Source Tools: A New Plugin for QGIS
Giacomo Titti, Alessandro Sarretta, Luigi Lombardo, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 32
A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm
Yanyan Sun, Fuquan Zhang, Haifeng Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4362-4362
Open Access | Times Cited: 29
Landslide susceptibility and risk analysis in Benighat Rural Municipality, Dhading, Nepal
Ganesh Dhungana, Romi Ghimire, Ranjan Poudel, et al.
Natural Hazards Research (2023) Vol. 3, Iss. 2, pp. 170-185
Open Access | Times Cited: 22
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 20
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