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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 modeling based on remote sensing data and data mining techniques
Xiaojing Wang, Faming Huang, Xuanmei Fan, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 2
Closed Access | Times Cited: 18

Showing 18 citing articles:

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: 91
Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan
Bilal Aslam, Ahsen Maqsoom, Umer Khalil, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3107-3107
Open Access | Times Cited: 30
Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms
Himan Shahabi, Reza Ahmadi, Mohsen Alizadeh, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3112-3112
Open Access | Times Cited: 20
Application of machine learning in the assessment of landslide susceptibility: A case study of mountainous eastern Mediterranean region, Syria
Hazem Ghassan Abdo, Sahar Mohammed Richi
Journal of King Saud University - Science (2024) Vol. 36, Iss. 5, pp. 103174-103174
Open Access | Times Cited: 5
Landslide susceptibility mapping based on landslide classification and improved convolutional neural networks
Han Zhang, Chao Yin, Shaoping Wang, et al.
Natural Hazards (2022)
Closed Access | Times Cited: 22
Analysis of Conditioning Factors in Cuenca, Ecuador, for Landslide Susceptibility Maps Generation Employing Machine Learning Methods
Paul Esteban Bravo-López, Tomás Fernández, Chester Sellers, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1135-1135
Open Access | Times Cited: 13
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: 5
Determination of alternative forest road routes using produced landslide susceptibility maps: A case study of Tonya (Trabzon), Türkiye
Fatih Kadı, Osman Salih Yılmaz
International Journal of Engineering and Geosciences (2024) Vol. 9, Iss. 2, pp. 147-164
Open Access | Times Cited: 4
Landslide susceptibility mapping in the Northern part of Los Glaciares National Park, Southern Patagonia, Argentina using remote sensing, GIS and frequency ratio model
Silvana Moragues, María Gabriela Lenzano, Pilar Jeanneret, et al.
Quaternary Science Advances (2023) Vol. 13, pp. 100146-100146
Open Access | Times Cited: 9
Landslide Susceptibility Assessment Considering Time-Varying of Dynamic Factors
Zhongbo Li, Chao Yin, Ziyong Tan, et al.
Natural Hazards Review (2024) Vol. 25, Iss. 3
Closed Access | Times Cited: 3
Data Mining: An Incipient Approach to World Security
Syed Anas Ansar, Swati Arya, Sujit Kumar Dwivedi, et al.
Algorithms for intelligent systems (2023), pp. 541-550
Closed Access | Times Cited: 5
Research on the Development of Modern Design Through Data Mining Technology
Xiangyun Meng
Informatica (2024) Vol. 48, Iss. 6
Open Access | Times Cited: 1
Comparing physical and statistical landslide susceptibility models at the scale of individual trees
Raphael Spiekermann, Feiko van Zadelhoff, Jan Schindler, et al.
Geomorphology (2023) Vol. 440, pp. 108870-108870
Closed Access | Times Cited: 4
Application of different watershed units to debris flow susceptibility mapping: A case study of Northeast China
Jiangfeng Lv, Shengwu Qin, Junjun Chen, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 3
Research on Detection and Safety Analysis of Unfavorable Geological Bodies Based on OCTEM-PHA
Tao Zhu, Jianhua Hu, Guanping Wen, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3888-3888
Open Access | Times Cited: 2
Landslide susceptibility analysis and hazard zonation of Koh-e-Suleman range using weighted overlay technique
Muhammad Usman Arshid, Muhammad Akbar, Muhammad Zohaib, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access
Spatial data mining-focused research on image processing techniques for remotely sensed images
Yiwei Fan, Siyuan Feng, Jing Du
The Imaging Science Journal (2024), pp. 1-15
Closed Access
Landslide susceptibility mapping based on the deformation intensity
Bijing Jin, Taorui Zeng, Kunlong Yin, et al.
Research Square (Research Square) (2023)
Open Access
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