Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping
Khalil Valizadeh Kamran, Bakhtiar Feizizadeh, Behnam Khorrami, et al.
Applied Geomatics (2021) Vol. 13, Iss. 4, pp. 837-851
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, et al.
Journal of Environmental Planning and Management (2021) Vol. 66, Iss. 3, pp. 665-697
Closed Access | Times Cited: 127
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
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
Faming Huang, Siyu Tao, Deying Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4436-4436
Open Access | Times Cited: 49
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
Md. Sharafat Chowdhury, Md. Naimur Rahman, Md. Sujon Sheikh, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23424-e23424
Open Access | Times Cited: 26
Health effects of shrinking hyper-saline lakes: spatiotemporal modeling of the Lake Urmia drought on the local population, case study of the Shabestar County
Bakhtiar Feizizadeh, Tobia Lakes, Davoud Omarzadeh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24
QADI as a New Method and Alternative to Kappa for Accuracy Assessment of Remote Sensing-Based Image Classification
Bakhtiar Feizizadeh, Sadrolah Darabi, Thomas Blaschke, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4506-4506
Open Access | Times Cited: 31
Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost
Emrehan Kutluğ Şahin
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 3, pp. 1067-1092
Closed Access | Times Cited: 29
Application of potential machine learning models in landslide susceptibility assessment: A case study of Van Yen district, Yen Bai province, Vietnam
Tran Van Anh, Thanh Dong Khuc, Xuan Quang Truong, et al.
Quaternary Science Advances (2024) Vol. 14, pp. 100181-100181
Open Access | Times Cited: 5
Machine Learning-assisted Investigation of Landslide Susceptibility for Aglar Watershed in the Lesser Himalaya Region
Dipika Keshri, Shovan Lal Chattoraj, Rakesh Kumar Pandey, et al.
Journal of the Geological Society of India (2025) Vol. 101, Iss. 3, pp. 384-396
Closed Access
Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA
Zhenyu Zhao, Shucheng Tan, Yiquan Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 995-995
Open Access
Comparative Study on the Effectiveness of Landslide Susceptibility Assessment Based on Different Evaluation Units and Models
Yulong Cui, Zhengyuan Xie, Chong Xu, et al.
Geological Journal (2025)
Closed Access
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction
Zhice Fang, Yi Wang, Hexiang Duan, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3535-3556
Closed Access | Times Cited: 22
Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region
Mohib Ullah, Bingzhe Tang, Wenchao Huangfu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1011-1011
Open Access | Times Cited: 4
Assessing the Effects of Climate Change and Anthropogenic Contributions in Parishan Wetland, Iran
Mohammad Kazemi Garajeh, Khalil Valizadeh Kamran, Bakhtiar Feizizadeh, et al.
Land (2025) Vol. 14, Iss. 2, pp. 313-313
Open Access
A scenario-based framework for evaluating the effectiveness of nature-based solutions in enhancing habitat quality
Bahman Veisi Nabikandi, Arman Rastkhadiv, Bakhtiar Feizizadeh, et al.
GeoJournal (2025) Vol. 90, Iss. 2
Closed Access
Comparative assessment of machine learning models for landslide susceptibility mapping: a focus on validation and accuracy
Mohamed M. Abdelkader, Árpád Csámer
Natural Hazards (2025)
Open Access
An integrated approach of artificial intelligence and geoinformation techniques applied to forest fire risk modeling in Gachsaran, Iran
Bakhtiar Feizizadeh, Davoud Omarzadeh, Vahid Mohammadnejad, et al.
Journal of Environmental Planning and Management (2022) Vol. 66, Iss. 6, pp. 1369-1391
Closed Access | Times Cited: 18
Understanding the scale effects of topographical variables on landslide susceptibility mapping in Sikkim Himalaya using deep learning approaches
Asish Saha, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17826-17852
Closed Access | Times Cited: 18
Landslide Susceptibility Evaluation of Southeastern Çanakkale Strait (NW Türkiye) Using Logistic Regression, Artificial Neural Network and Support Vector Machine
Samet Berber, Murat Ercanoğlu, Şener Ceryan
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 6, pp. 4575-4591
Closed Access | Times Cited: 2
Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm
Tran Xuan Bien, Pham The Truyen, Tran Van Phong, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17777-17798
Closed Access | Times Cited: 11
GIS-Multicriteria Analysis Using AHP to Evaluate the Landslide Risk in Road Lifelines
Giovanni Leonardi, Rocco Palamara, Francesco Manti, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4707-4707
Open Access | Times Cited: 9
Soil Erosion Quantification using Machine Learning in Sub-Watersheds of Northern Portugal
Saulo de Oliveira Folharini, António Vieira, António Bento‐Gonçalves, et al.
Hydrology (2022) Vol. 10, Iss. 1, pp. 7-7
Open Access | Times Cited: 9
Landslide Susceptibility Levels Analysis Based on Geographic Information System (GIS) in Simo District, Boyolali Regency
Y. W. Yulianto, Munawar Cholil
IOP Conference Series Earth and Environmental Science (2024) Vol. 1357, Iss. 1, pp. 012044-012044
Open Access | Times Cited: 1
EFFECTIVENESS OF LANDSLIDE SUSCEPTIBILITY MAPPING USING THE MAXIMUM ENTROPY MODEL AND WEIGHTS OF EVIDENCE MODELLING IN THE KUNINGAN REGENCY, WEST JAVA, INDONESIA
Mamat Suhermat, Khori Sugianti, Yunarto Yunarto, et al.
Rudarsko-geološko-naftni zbornik (2024) Vol. 39, Iss. 3, pp. 27-42
Open Access | Times Cited: 1
Inclusion of fractal dimension in machine learning models improves the prediction accuracy of hydraulic conductivity
Abhradip Sarkar, Pragati Pramanik Maity, Mrinmoy Ray, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 10, pp. 4043-4067
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top