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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 modelling using hybrid bivariate statistical-based machine-learning method in a highland segment of Southern Western Ghats, India
A.L. Achu, C. D. Aju, Quoc Bao Pham, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 13
Closed Access | Times Cited: 11

Showing 11 citing articles:

Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data
A.L. Achu, Jobin Thomas, C. D. Aju, et al.
Earth Science Informatics (2022) Vol. 16, Iss. 1, pp. 1025-1039
Closed Access | Times Cited: 27
Landslide Susceptibility Prediction based on Decision Tree and Feature Selection Methods
Nirbhav, Anand Malik, Maheshwar, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 51, Iss. 4, pp. 771-786
Closed Access | Times Cited: 16
Integration of GIS and Machine Learning Techniques for Mapping the Landslide-Prone Areas in the State of Goa, India
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 51, Iss. 7, pp. 1479-1491
Open Access | Times Cited: 13
Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions
Quoc Bao Pham, Ömer Ekmekcioğlu, Sk Ajim Ali, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110429-110429
Closed Access | Times Cited: 12
Global landslide susceptibility prediction based on the automated machine learning (AutoML) framework
Guixi Tang, Zhice Fang, Yi Wang
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 12
Utilising Machine Learning Approaches for Enhanced Landslide Susceptibility Mapping in Sikkim, India
Sujit Kumar Roy, Sumon Dey, Jayanta Das, et al.
Geological Journal (2025)
Closed Access
Landslide susceptibility analysis in the Bhilangana Basin (India) using GIS-based machine learning methods
Suresh Chand, Vijendra Kumar Pandey, Kaushal Kumar Sharma, et al.
Geosystems and Geoenvironment (2024) Vol. 3, Iss. 2, pp. 100253-100253
Open Access | Times Cited: 3
A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction
Jiayao Tan, Chao Yang, Yuzhou Wang, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 3
Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam
Huu Duy Nguyen, Quoc Huy Nguyen, Quan Vu Viet Du, et al.
Geological Journal (2023) Vol. 59, Iss. 2, pp. 636-658
Open Access | Times Cited: 8
A Systematic Review of Landslides prediction mechanisms and analysis of Landslides in Western Ghats in Kerala and Maharashtra
Manali Madhav Kumthekar, Chetan S. Patil
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Landslides: A Review from the Southern Western Ghats of India
Arpitha G.A., Choodarathnakara A.L., Sinchana G.S.
Journal of the Geological Society of India (2024) Vol. 100, Iss. 10, pp. 1443-1456
Closed Access
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