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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 spatial modelling using unsupervised factor optimisation and regularised greedy forests
Maher Ibrahim Sameen, Raju Sarkar, Biswajeet Pradhan, et al.
Computers & Geosciences (2019) Vol. 134, pp. 104336-104336
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 427
Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization
Xinzhi Zhou, Haijia Wen, Yalan Zhang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101211-101211
Open Access | Times Cited: 303
Pathways and challenges of the application of artificial intelligence to geohazards modelling
Abhirup Dikshit, Biswajeet Pradhan, Abdullah Alamri
Gondwana Research (2020) Vol. 100, pp. 290-301
Open Access | Times Cited: 152
Machine learning for landslides prevention: a survey
Zhengjing Ma, Gang Mei, Francesco Piccialli
Neural Computing and Applications (2020) Vol. 33, Iss. 17, pp. 10881-10907
Open Access | Times Cited: 150
High-quality development in China: Measurement system, spatial pattern, and improvement paths
Wei Pan, Jing Wang, Zhi Lu, et al.
Habitat International (2021) Vol. 118, pp. 102458-102458
Closed Access | Times Cited: 121
A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset
Husam A. H. Al-Najjar, Biswajeet Pradhan, Ghassan Beydoun, et al.
Gondwana Research (2022) Vol. 123, pp. 107-124
Closed Access | Times Cited: 96
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
Shruti Sachdeva, Bijendra Kumar
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 2, pp. 287-306
Open Access | Times Cited: 81
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
Viet‐Ha Nhu, Danesh Zandi, Himan Shahabi, et al.
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5047-5047
Open Access | Times Cited: 71
GIS based landslide susceptibility mapping and assessment using weighted overlay method in Wayanad: A part of Western Ghats, Kerala
Thangavelu Arumugam, Sapna Kinattinkara, Sampathkumar Velusamy, et al.
Urban Climate (2023) Vol. 49, pp. 101508-101508
Closed Access | Times Cited: 26
Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
Faming Huang, Jiawu Chen, Zhen Du, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 6, pp. 377-377
Open Access | Times Cited: 66
Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations
Qing Zhu, Li Chen, Han Hu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 3917-3930
Open Access | Times Cited: 51
Land degradation risk dynamics assessment in red and lateritic zones of eastern plateau, India: A combine approach of K-fold CV, data mining and field validation
Asish Saha, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Ecological Informatics (2022) Vol. 69, pp. 101653-101653
Closed Access | Times Cited: 34
Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region
Sunil Saha, Anik Saha, Tusar Kanti Hembram, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3597-3616
Closed Access | Times Cited: 32
Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan
Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, et al.
Water (2020) Vol. 12, Iss. 1, pp. 267-267
Open Access | Times Cited: 45
Comparative performance of new hybrid ANFIS models in landslide susceptibility mapping
Sina Paryani, Aminreza Neshat, Saman Javadi, et al.
Natural Hazards (2020) Vol. 103, Iss. 2, pp. 1961-1988
Closed Access | Times Cited: 43
Incorporating Landslide Spatial Information and Correlated Features among Conditioning Factors for Landslide Susceptibility Mapping
Xin Yang, Rui Liu, Mei Yang, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2166-2166
Open Access | Times Cited: 37
The study of early human settlement preference and settlement prediction in Xinjiang, China
Bo Tan, Hongwei Wang, Xiaoqin Wang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
Hossein Hamedi, Ali Asghar Alesheikh, Mahdi Panahi, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4287-4310
Closed Access | Times Cited: 23
Assessing landslide susceptibility based on the random forest model and multi-source heterogeneous data
Mengxia Li, Haiying Wang, Jinlong Chen, et al.
Ecological Indicators (2024) Vol. 158, pp. 111600-111600
Open Access | Times Cited: 6
Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models
Javed Mallick, Meshel Q. Alkahtani, Hoang Thi Hang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 20, pp. 29811-29835
Closed Access | Times Cited: 5
Thermokarst landslides susceptibility evaluation across the permafrost region of the central Qinghai-Tibet Plateau: Integrating a machine learning model with InSAR technology
Fei Wang, Zhi Wen, Qiang Gao, et al.
Journal of Hydrology (2024) Vol. 642, pp. 131800-131800
Closed Access | Times Cited: 5
GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India
Trung-Hieu Tran, Duc Dam Nguyen, Fazal E. Jalal, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-19
Open Access | Times Cited: 32
Geoinformation-based landslide susceptibility mapping in subtropical area
Xiaoting Zhou, Weicheng Wu, Yaozu Qin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 31
A hybrid deep learning method for landslide susceptibility analysis with the application of InSAR data
Rui Yuan, Jing Chen
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1393-1426
Closed Access | Times Cited: 22
Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India
Duc Dam Nguyen, Mahdis Amiri, Nadhir Al‐Ansari, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 21
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