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 new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping
Omid Ghorbanzadeh, Thomas Blaschke, Jagannath Aryal, et al.
Journal of Spatial Science (2018) Vol. 65, Iss. 3, pp. 401-418
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, et al.
Remote Sensing (2019) Vol. 11, Iss. 2, pp. 196-196
Open Access | Times Cited: 707
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
Phuong Thao Thi Ngo, Mahdi Panahi, Khabat Khosravi, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 505-519
Open Access | Times Cited: 319
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125275-125275
Closed Access | Times Cited: 311
Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches
Omid Ghorbanzadeh, Khalil Valizadeh Kamran, Thomas Blaschke, et al.
Fire (2019) Vol. 2, Iss. 3, pp. 43-43
Open Access | Times Cited: 165
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
Binh Thai Pham, Manh Duc Nguyen, Dong Van Dao, et al.
The Science of The Total Environment (2019) Vol. 679, pp. 172-184
Closed Access | Times Cited: 150
Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables
Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, et al.
Fire (2019) Vol. 2, Iss. 3, pp. 50-50
Open Access | Times Cited: 146
Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions
Sahar Abdollahi, Hamid Reza Pourghasemi, Gholamabbas Ghanbarian, et al.
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 6, pp. 4017-4034
Closed Access | Times Cited: 136
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation
Xia Zhao, Wei Chen
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2180-2180
Open Access | Times Cited: 128
Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping
Khalil Gholamnia, Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, et al.
Symmetry (2020) Vol. 12, Iss. 4, pp. 604-604
Open Access | Times Cited: 119
Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms
Hamid Reza Pourghasemi, Amiya Gayen, Sungjae Park, et al.
Sustainability (2018) Vol. 10, Iss. 10, pp. 3697-3697
Open Access | Times Cited: 109
Land subsidence susceptibility assessment using random forest machine learning algorithm
Majid Mohammady, Hamid Reza Pourghasemi, Mojtaba Amiri
Environmental Earth Sciences (2019) Vol. 78, Iss. 16
Closed Access | Times Cited: 109
PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
Omid Rahmati, Aiding Kornejady, Mahmood Samadi, et al.
The Science of The Total Environment (2019) Vol. 664, pp. 296-311
Open Access | Times Cited: 97
A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal
Sansar Raj Meena, Omid Ghorbanzadeh, Thomas Blaschke
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 2, pp. 94-94
Open Access | Times Cited: 96
Integrated ANN-cross-validation and AHP-TOPSIS model to improve earthquake risk assessment
Ratiranjan Jena, Biswajeet Pradhan
International Journal of Disaster Risk Reduction (2020) Vol. 50, pp. 101723-101723
Closed Access | Times Cited: 95
State of the Art and Recent Advancements in the Modelling of Land Subsidence Induced by Groundwater Withdrawal
Artur Guzy, Agnieszka Malinowska
Water (2020) Vol. 12, Iss. 7, pp. 2051-2051
Open Access | Times Cited: 94
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia
Hejar Shahabi, Ben Jarihani, Sepideh Tavakkoli Piralilou, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 4893-4893
Open Access | Times Cited: 79
Mapping potential nature-based tourism areas by applying GIS-decision making systems in East Azerbaijan Province, Iran
Omid Ghorbanzadeh, Samereh Pourmoradian, Thomas Blaschke, et al.
Journal of Ecotourism (2019) Vol. 18, Iss. 3, pp. 261-283
Closed Access | Times Cited: 77
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran
Bahareh Ghasemian, Himan Shahabi, Ataollah Shirzadi, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1573-1573
Open Access | Times Cited: 44
Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4703-4703
Open Access | Times Cited: 29
Bivariate landslide susceptibility analysis for parts of Kumaon Himalayas: A case study of Nainital town and its surroundings, India
Anil Bhandari, H.A.R.S.H.A.R.A.J.L. WANKHADE
Natural Hazards Research (2025)
Open Access | Times Cited: 1
GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine
Tingyu Zhang, Ling Han, Heng Zhang, et al.
Journal of Mountain Science (2019) Vol. 16, Iss. 6, pp. 1275-1288
Closed Access | Times Cited: 70
Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping
Thimmaiah Gudiyangada Nachappa, Stefan Kienberger, Sansar Raj Meena, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 572-600
Open Access | Times Cited: 68
SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
Saro Lee, Mahdi Panahi, Hamid Reza Pourghasemi, et al.
Applied Sciences (2019) Vol. 9, Iss. 17, pp. 3495-3495
Open Access | Times Cited: 66
Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions
Omid Rahmati, Omid Ghorbanzadeh, Teimur Teimurian, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 2995-2995
Open Access | Times Cited: 65
A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas
Sansar Raj Meena, Brijendra Kumar Mishra, Sepideh Tavakkoli Piralilou
Geosciences (2019) Vol. 9, Iss. 4, pp. 156-156
Open Access | Times Cited: 58
Page 1 - Next Page

Scroll to top