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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:

Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping
Bakhtiar Feizizadeh, Majid Shadman Roodposhti, Thomas Blaschke, et al.
Arabian Journal of Geosciences (2017) Vol. 10, Iss. 5
Closed Access | Times Cited: 110

Showing 26-50 of 110 citing articles:

Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area
Linfei Chen, Haixiang Guo, Peisong Gong, et al.
Computers & Geosciences (2021) Vol. 156, pp. 104899-104899
Closed Access | Times Cited: 56
A comparative study of land subsidence susceptibility mapping of Tasuj plane, Iran, using boosted regression tree, random forest and classification and regression tree methods
Hamid Ebrahimy, Bakhtiar Feizizadeh, Saeed Salmani, et al.
Environmental Earth Sciences (2020) Vol. 79, Iss. 10
Closed Access | Times Cited: 55
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis
Xinxiang Lei, Wei Chen, Binh Thai Pham
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 7, pp. 443-443
Open Access | Times Cited: 55
Sparse representation theory for support vector machine kernel function selection and its application in high-speed bearing fault diagnosis
Baojian Wang, Xiaoli Zhang, Suo Xing, et al.
ISA Transactions (2021) Vol. 118, pp. 207-218
Closed Access | Times Cited: 46
Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
Husam A. H. Al-Najjar, Biswajeet Pradhan, Bahareh Kalantar, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3281-3281
Open Access | Times Cited: 46
Assessment of social vulnerability in areas exposed to multiple hazards: A case study of the Khuzestan Province, Iran
Seyed Jafar Hejazi, Ayyoob Sharifi, Mahmoud Arvin
International Journal of Disaster Risk Reduction (2022) Vol. 78, pp. 103127-103127
Closed Access | Times Cited: 29
Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems: A Medical Case Study
Adel Got, Djaafar Zouache, Abdelouahab Moussaoui, et al.
Journal of Bionic Engineering (2023) Vol. 21, Iss. 1, pp. 409-425
Closed Access | Times Cited: 20
Strategies for sampling pseudo-absences of landslide locations for landslide susceptibility mapping in complex mountainous terrain of Northwest Himalaya
Ankit Singh, Niraj Khatri Chhetri, Nitesh, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 8
Closed Access | Times Cited: 17
Land suitability assessment for sugarcane cultivation in Bijnor district, India using geographic information system and fuzzy analytical hierarchy process
Mubashir Jamil, Raihan Ahmed, Haroon Sajjad
GeoJournal (2017) Vol. 83, Iss. 3, pp. 595-611
Closed Access | Times Cited: 53
Landslide Susceptibility Mapping for the Muchuan County (China): A Comparison Between Bivariate Statistical Models (WoE, EBF, and IoE) and Their Ensembles with Logistic Regression
Renwei Li, Nianqin Wang
Symmetry (2019) Vol. 11, Iss. 6, pp. 762-762
Open Access | Times Cited: 53
Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data
Usman Salihu Lay, Biswajeet Pradhan, Zainuddin Yusoff, et al.
Sensors (2019) Vol. 19, Iss. 16, pp. 3451-3451
Open Access | Times Cited: 43
Robust twin bounded support vector machines for outliers and imbalanced data
Parashjyoti Borah, Deepak Gupta
Applied Intelligence (2021) Vol. 51, Iss. 8, pp. 5314-5343
Closed Access | Times Cited: 41
A hybrid machine-learning model to map glacier-related debris flow susceptibility along Gyirong Zangbo watershed under the changing climate
Chenchen Qiu, Lijun Su, Qiang Zou, et al.
The Science of The Total Environment (2021) Vol. 818, pp. 151752-151752
Open Access | Times Cited: 41
New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
Oluseun Adetola Sanuade, Amjed Hassan, Adesoji O. Akanji, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 10
Closed Access | Times Cited: 40
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: 36
Monitoring of land use/land cover changes using GIS and CA-Markov modeling techniques: a study in Northern Turkey
Hasan Aksoy, Sinan Kaptan
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 8
Closed Access | Times Cited: 34
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: 23
Evaluating causative factors for landslide susceptibility along the Imphal-Jiribam railway corridor in the North-Eastern part of India using a GIS-based statistical approach
Ankit Singh, Adaphro Ashuli, K. Niraj, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 41, pp. 53767-53784
Closed Access | Times Cited: 15
Earthquake prediction with meteorological data by particle filter-based support vector regression
Pouria Hajikhodaverdikhan, Mousa Nazari, Mehrdad Mohsenizadeh, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 12, Iss. 1, pp. 679-688
Open Access | Times Cited: 41
Assessment of Landslide Susceptibility Using Integrated Ensemble Fractal Dimension with Kernel Logistic Regression Model
Tingyu Zhang, Ling Han, Jichang Han, et al.
Entropy (2019) Vol. 21, Iss. 2, pp. 218-218
Open Access | Times Cited: 41
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
A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam
Huu Duy Nguyen, Bui Quang-Thanh, Quoc‐Huy Nguyen, et al.
Hydrological Sciences Journal (2022) Vol. 67, Iss. 7, pp. 1065-1083
Closed Access | Times Cited: 21
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: 4
GIS-based spatial prediction of debris flows using logistic regression and frequency ratio models for Zêzere River basin and its surrounding area, Northwest Covilhã, Portugal
Yacine Achour, Sonia Garçia, Victor Cavaleiro
Arabian Journal of Geosciences (2018) Vol. 11, Iss. 18
Closed Access | Times Cited: 37
The comparison of the performance of ELM, BRNN, and SVM methods for the prediction of compression index of clays
Талас Фикрет Курназ, Yılmaz Kaya
Arabian Journal of Geosciences (2018) Vol. 11, Iss. 24
Closed Access | Times Cited: 37

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