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:

A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis
Bakhtiar Feizizadeh, Piotr Jankowski, Thomas Blaschke
Computers & Geosciences (2013) Vol. 64, pp. 81-95
Open Access | Times Cited: 277

Showing 1-25 of 277 citing articles:

Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey
Ümran Şengül, Miraç Eren, Seyedhadi Eslamian Shiraz, et al.
Renewable Energy (2014) Vol. 75, pp. 617-625
Closed Access | Times Cited: 504

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
Haoyuan Hong, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi
Geomorphology (2016) Vol. 259, pp. 105-118
Closed Access | Times Cited: 392

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
Binh Thai Pham, Dieu Tien Bui, Hamid Reza Pourghasemi, et al.
Theoretical and Applied Climatology (2015) Vol. 128, Iss. 1-2, pp. 255-273
Closed Access | Times Cited: 340

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

Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis
Komlavi Akpoti, Amos T. Kabo‐bah, Sander J. Zwart
Agricultural Systems (2019) Vol. 173, pp. 172-208
Closed Access | Times Cited: 252

Landslide susceptibility evaluation and hazard zonation techniques – a review
Leulalem Shano, Tarun Kumar Raghuvanshi, Matebie Meten
Geoenvironmental Disasters (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 244

Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques
Malay Pramanik
Modeling Earth Systems and Environment (2016) Vol. 2, Iss. 2
Open Access | Times Cited: 224

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan
Jie Dou, Hiromitsu Yamagishi, Hamid Reza Pourghasemi, et al.
Natural Hazards (2015) Vol. 78, Iss. 3, pp. 1749-1776
Closed Access | Times Cited: 219

A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China
Wei Chen, Hamid Reza Pourghasemi, Seyed Amir Naghibi
Bulletin of Engineering Geology and the Environment (2017) Vol. 77, Iss. 2, pp. 647-664
Closed Access | Times Cited: 196

Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping
Mahyar Yousefi, Emmanuel John M. Carranza
Computers & Geosciences (2014) Vol. 74, pp. 97-109
Closed Access | Times Cited: 192

Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods
Hamid Reza Pourghasemi, Mauro Rossi
Theoretical and Applied Climatology (2016) Vol. 130, Iss. 1-2, pp. 609-633
Closed Access | Times Cited: 182

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
Zizheng Guo, Yu Shi, Faming Huang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101249-101249
Open Access | Times Cited: 180

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: 139

Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin, Bangladesh
Swapan Talukdar, Kutub Uddin Eibek, Shumona Akhter, et al.
Ecological Indicators (2021) Vol. 126, pp. 107612-107612
Open Access | Times Cited: 124

Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review
Jakub Więckowski, Wojciech Sałabun
Applied Soft Computing (2023) Vol. 148, pp. 110915-110915
Open Access | Times Cited: 65

Uncertainty assessment in ecosystem services analyses: Seven challenges and practical responses
Perrine Hamel, Benjamin P. Bryant
Ecosystem Services (2017) Vol. 24, pp. 1-15
Open Access | Times Cited: 163

An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping
Bakhtiar Feizizadeh, Thomas Blaschke
International Journal of Geographical Information Science (2014) Vol. 28, Iss. 3, pp. 610-638
Open Access | Times Cited: 157

Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
Binh Thai Pham, Dieu Tien Bui, Indra Prakash, et al.
Natural Hazards (2016) Vol. 83, Iss. 1, pp. 97-127
Closed Access | Times Cited: 135

Bagging based Support Vector Machines for spatial prediction of landslides
Binh Thai Pham, Dieu Tien Bui, Indra Prakash
Environmental Earth Sciences (2018) Vol. 77, Iss. 4
Closed Access | Times Cited: 132

Geometric average of spatial evidence data layers: A GIS-based multi-criteria decision-making approach to mineral prospectivity mapping
Mahyar Yousefi, Emmanuel John M. Carranza
Computers & Geosciences (2015) Vol. 83, pp. 72-79
Closed Access | Times Cited: 118

Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis
Zhongqian Tang, Hua Zhang, Shanzhen Yi, et al.
Journal of Hydrology (2018) Vol. 558, pp. 144-158
Closed Access | Times Cited: 110

A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping
Omid Ghorbanzadeh, Hashem Rostamzadeh, Thomas Blaschke, et al.
Natural Hazards (2018) Vol. 94, Iss. 2, pp. 497-517
Open Access | Times Cited: 110

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

Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses
Omid Ghorbanzadeh, Bakhtiar Feizizadeh, Thomas Blaschke
Geomatics Natural Hazards and Risk (2017) Vol. 9, Iss. 1, pp. 127-151
Open Access | Times Cited: 104

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