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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 mapping in three Upazilas of Rangamati hill district Bangladesh: application and comparison of GIS-based machine learning methods
Yasin Wahid Rabby, Md Belal Hossain, Joynal Abedin
Geocarto International (2020) Vol. 37, Iss. 12, pp. 3371-3396
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Myoung-Bae Seo, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162285-162285
Closed Access | Times Cited: 49
Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis
Hoang Thi Hang, Javed Mallick, Saeed Alqadhi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103655-103655
Open Access | Times Cited: 20
A data augmentation approach to XGboost-based mineral potential mapping: An example of carbonate-hosted Zn Pb mineral systems of Western Iran
Mohammad Parsa
Journal of Geochemical Exploration (2021) Vol. 228, pp. 106811-106811
Closed Access | Times Cited: 99
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
Sherif Ahmed Abu El-Magd, Sk Ajim Ali, Quoc Bao Pham
Earth Science Informatics (2021) Vol. 14, Iss. 3, pp. 1227-1243
Closed Access | Times Cited: 70
Impact of Land Use/Land Cover Change on Landslide Susceptibility in Rangamati Municipality of Rangamati District, Bangladesh
Yasin Wahid Rabby, Yingkui Li, Joynal Abedin, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 2, pp. 89-89
Open Access | Times Cited: 46
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 41
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Md Hasanuzzaman, Aznarul Islam, Biswajit Bera, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 127, pp. 103198-103198
Closed Access | Times Cited: 41
Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100905-100905
Closed Access | Times Cited: 26
An objective absence data sampling method for landslide susceptibility mapping
Yasin Wahid Rabby, Yingkui Li, Haileab Hilafu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes
Gizem Karakaş, Erdinç Örsan Ünal, Sinem Çetınkaya, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108491-108491
Closed Access | Times Cited: 12
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Sumon Dey, Swarup Das
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Land cover change and its impact on human–elephant conflict: a case from Fashiakhali forest reserve in Bangladesh
Mohammad Maruf Billah, Md. Masudur Rahman, Joynal Abedin, et al.
SN Applied Sciences (2021) Vol. 3, Iss. 6
Open Access | Times Cited: 48
Application of Tree-Based Ensemble Models to Landslide Susceptibility Mapping: A Comparative Study
Aihua Wei, Kaining Yu, Fenggang Dai, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 6330-6330
Open Access | Times Cited: 35
Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification
Ding Xia, Huiming Tang, Sixuan Sun, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2707-2707
Open Access | Times Cited: 35
Application of GIS-based data-driven bivariate statistical models for landslide prediction: a case study of highly affected landslide prone areas of Teesta River basin
Indrajit Poddar, Ranjan Roy
Quaternary Science Advances (2023) Vol. 13, pp. 100150-100150
Open Access | Times Cited: 19
Landslide susceptibility mapping and sensitivity analysis using various machine learning models: a case study of Beas valley, Indian Himalaya
Ramandeep Kaur, Vikram Gupta, B. S. Chaudhary
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 6
Closed Access | Times Cited: 7
Spatial Mapping of Flood Susceptibility Using Decision Tree–Based Machine Learning Models for the Vembanad Lake System in Kerala, India
Parthasarathy Kulithalai Shiyam Sundar, Subrahmanya Kundapura
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 15
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis
Shilong Yang, Jiayao Tan, Danyuan Luo, et al.
Computers & Geosciences (2024), pp. 105723-105723
Closed Access | Times Cited: 5
Consideration of spatial heterogeneity in landslide susceptibility mapping using geographical random forest model
Renata Pacheco Quevedo, Daniel Andrade Maciel, Tatiana Dias Tardelli Uehara, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8190-8213
Closed Access | Times Cited: 28
Feature elimination and comparison of machine learning algorithms in landslide susceptibility mapping
Jesudasan Jacinth Jennifer
Environmental Earth Sciences (2022) Vol. 81, Iss. 20
Closed Access | Times Cited: 22
Application of machine learning algorithms in landslide susceptibility mapping, Kali Valley, Kumaun Himalaya, India
Ambar Solanki, Vikram Gupta, Mallickarjun Joshi
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16846-16871
Closed Access | Times Cited: 20
Characterizing recurrent flood hazards in the Himalayan foothill region through data-driven modelling
Md Hasanuzzaman, Pravat Kumar Shit, Biswajit Bera, et al.
Advances in Space Research (2023) Vol. 71, Iss. 12, pp. 5311-5326
Closed Access | Times Cited: 13
A review on landslide susceptibility mapping research in Bangladesh
Md. Sharafat Chowdhury
Heliyon (2023) Vol. 9, Iss. 7, pp. e17972-e17972
Open Access | Times Cited: 13
Landslide Susceptibility Assessment in Western External Rif Chain using Machine Learning Methods
Marouane Benmakhlouf, Younès El Kharim, Jesús Galindo‐Zaldívar, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 12, pp. 3218-3232
Open Access | Times Cited: 12
Investigating the Nonlinear Effect of Land Use and Built Environment on Public Transportation Choice Using a Machine Learning Approach
Zhenbao Wang, Shuyue Liu, Haitao Lian, et al.
Land (2024) Vol. 13, Iss. 8, pp. 1302-1302
Open Access | Times Cited: 4
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