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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 the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India
R. S. Ajin, Sunil Saha, Anik Saha, et al.
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 11, pp. 2245-2265
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps
Sheela Bhuvanendran Bhagya, Anita Saji Sumi, S. Balaji, et al.
Land (2023) Vol. 12, Iss. 2, pp. 468-468
Open Access | Times Cited: 28
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
Prediction of maximum scour depth at clear water conditions: Multivariate and robust comparative analysis between empirical equations and machine learning approaches using extensive reference metadata
Buddhadev Nandi, Gaurav Patel, Subhasish Das
Journal of Environmental Management (2024) Vol. 354, pp. 120349-120349
Closed Access | Times Cited: 12
Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility
R. S. Ajin, Samuele Segoni, Riccardo Fanti
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Spatio-temporal distribution and prediction of agricultural and meteorological drought in a Mediterranean coastal watershed via GIS and machine learning
Siham Acharki, Sudhir Kumar Singh, Edivando Vítor do Couto, et al.
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 131, pp. 103425-103425
Closed Access | Times Cited: 20
Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
Ali Nouh Mabdeh, R. S. Ajin, Seyed Vahid Razavi-Termeh, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2595-2595
Open Access | Times Cited: 7
Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya
Sunil Saha, Anik Saha, Tusar Kanti Hembram, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17018-17043
Closed Access | Times Cited: 23
Vulnerability evaluation utilizing AHP and an ensemble model in a few landslide-prone areas of the Western Ghats, India
S. J. Anchima, Ajayakumar Gokul, Chandini P. C. Senan, et al.
Environment Development and Sustainability (2023)
Closed Access | Times Cited: 11
Estimation of Clear Water Flow Induced Maximum Scour Depth Using Random Forest and XGBoost
Buddhadev Nandi, Subhasish Das, S. K. Paul
Lecture notes in mechanical engineering (2025), pp. 81-95
Closed Access
Optimizing landslide susceptibility mapping using integrated forest by penalizing attributes model with ensemble algorithms
Wei Chen, Chao Wang, Xia Zhao, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
High-precision landslide susceptibility assessment based on the coupling of IHAOAVOA algorithm and BP neural network
Siyu Liang, Li Li, Yue Qiang, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Landslide Susceptibility Mapping Using Geospatial, Analytical Hierarchy Process (AHP), and Binary Logistic Regression (BLR) Techniques- A Study of Wadi Habban Basin, Shabwah, Yemen
Haial Al-kordi, Aiyshah Mahdi AlAmri, G. Sudarsana Raju
Results in Earth Sciences (2025), pp. 100103-100103
Open Access
Empirical analysis of tree-based classification models for customer churn prediction
Fatima E. Usman-Hamza, Abdullateef O. Balogun, Salahdeen K. Nasiru, et al.
Scientific African (2023) Vol. 23, pp. e02054-e02054
Open Access | Times Cited: 8
Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science
Bita Ghasemkhani, Özlem Varlıklar, Yunus Doğan, et al.
Animals (2024) Vol. 14, Iss. 14, pp. 2021-2021
Open Access | Times Cited: 2
Assessment of Landslide Vulnerability Using Statistical and Machine Learning Methods in Bageshwar District of Uttarakhand, India
Suktara Khatun, Anik Saha, Priyanka Gogoi, et al.
Disaster risk reduction (2024), pp. 99-116
Closed Access | Times Cited: 1
Spatial Flash Flood Modeling in the Beas River Basin of Himachal Pradesh, India, Using GIS-Based Machine Learning Algorithms
Sunil Saha, Anik Saha, Abhishek Agarwal, et al.
Disaster risk reduction (2024), pp. 135-151
Closed Access | Times Cited: 1
Assessing Landslide Susceptibility Mapping in Shimla District, Himachal Pradesh, India: A Comparative Approach Using Fuzzy-AHP, and FR for Risk Prediction
Sanjib Majumder, Ruqaiya Fatma
Disaster risk reduction (2024), pp. 301-333
Closed Access | Times Cited: 1
Application of ML- based approach for co-seismic landslides susceptibility mapping and identification of important controlling factors in eastern Himalayan region
Saurav Kumar, Aniruddha Sengupta
Environmental Earth Sciences (2024) Vol. 83, Iss. 21
Closed Access | Times Cited: 1
Sustainable Futures in a Changing World – Reflections from the 5th International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2024)
Arnold Kiv, Сергій Олексійович Семеріков, Pavlo P. Nechypurenko, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1415, Iss. 1, pp. 011001-011001
Open Access | Times Cited: 1
Artificial Neural Network Ensemble with General Linear Model for Modeling the Landslide Susceptibility in Mirik Region of West Bengal, India
Sunil Saha, Anik Saha, Bishnu Roy, et al.
Disaster risk reduction (2024), pp. 41-59
Closed Access
An Ensemble of J48 Decision Tree with AdaBoost and Bagging for Flood Susceptibility Mapping in the Sundarbans of West Bengal, India
Sujata Pal, Anik Saha, Priyanka Gogoi, et al.
Disaster risk reduction (2024), pp. 117-133
Closed Access
Gems of Prediction: From Clarity to Carats - Unveiling Diamond Prices with Machine Learning in Waikato Environment for Knowledge Analysis
Md Shaik Amzad Basha, Peerzadah Mohammad Oveis, R Pavan Kumar Raju, et al.
(2024), pp. 1-7
Closed Access
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
Deep learning algorithms based landslide vulnerability modeling in highly landslide prone areas of Tamil Nadu, India
Sunil Saha, Aparna Barman, Anik Saha, et al.
Geosciences Journal (2024) Vol. 28, Iss. 6, pp. 1013-1038
Closed Access
Enhanced Landslide Spatial Prediction Using Hybrid Deep Learning Model and SHAP Analysis: A Case Study of the Tuyen Quang-Ha Giang Expressway, Vietnam
Dam Duc Nguyen, Manh Duc Nguyen, Nguyen Tuan Hung, et al.
Journal of the Indian Society of Remote Sensing (2024)
Closed Access
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