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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:

Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping
Emrehan Kutluğ Şahin
Geocarto International (2020) Vol. 37, Iss. 9, pp. 2441-2465
Closed Access | Times Cited: 116

Showing 51-75 of 116 citing articles:

Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece
Stavroula Alatza, Alexis Apostolakis, Constantinos Loupasakis, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1161-1161
Open Access
Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study
Jiang Li, Zhuoying Tan, Naigen Tan, et al.
Land (2025) Vol. 14, Iss. 4, pp. 678-678
Open Access
Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China
Bingwei Wang, Qigen Lin, Tong Jiang, et al.
Geocarto International (2022) Vol. 38, Iss. 1
Open Access | Times Cited: 17
Forecasting the total building energy based on its architectural features using a combination of CatBoost and meta-heuristic algorithms
Xiaoyu Qu, Ziheng Liu
Energy & Environment (2024)
Closed Access | Times Cited: 3
Desertification Monitoring Using Machine Learning Techniques with Multiple Indicators Derived from Sentinel-2 in Turkmenistan
Arslan Berdyyev, Yousef A. Al-Masnay, Mukhiddin Juliev, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4525-4525
Open Access | Times Cited: 3
Landslide susceptibility mapping using combined geospatial, FR and AHP models: a case study from Ethiopia’s highlands
Tesfaldet Sisay, Tesfaye Getachew, Muralitharan Jothimani, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
A comparative evaluation of state-of-the-art ensemble learning algorithms for land cover classification using WorldView-2, Sentinel-2 and ROSIS imagery
İsmail Çölkesen, Muhammed Yusuf Öztürk
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 10
Closed Access | Times Cited: 15
Exploration and Comparison of the Effect of Conventional and Advanced Modeling Algorithms on Landslide Susceptibility Prediction: A Case Study from Yadong Country, Tibet
Zhu Liang, Weiping Peng, Wei Liu, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7276-7276
Open Access | Times Cited: 8
Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping Using TreeSHAP
Muhammad Sakib Khan Inan, Istiakur Rahman
SN Computer Science (2023) Vol. 4, Iss. 5
Open Access | Times Cited: 7
Total land suitability analysis for rice and potato crops through FuzzyAHP technique in West Bengal, India
Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, et al.
Cogent Food & Agriculture (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Landslide susceptibility mapping using ensemble machine learning methods: a case study in Lombardy, Northern Italy
Qiongjie Xu, Vasil Yordanov, Lorenzo Amici, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Digital Visualization of Environmental Risk Indicators in the Territory of the Urban Industrial Zone
Ruslan Sаfarov, Zhanat Shomanova, Yuriy Nossenko, et al.
Sustainability (2024) Vol. 16, Iss. 12, pp. 5190-5190
Open Access | Times Cited: 2
Machine learning-based estimation of land surface temperature variability over a large region: a temporally consistent approach using single-day satellite imagery
Nyenshu Seb Rengma, Manohar Yadav
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access | Times Cited: 2
Predicting landslide and debris flow susceptibility using Logitboost alternating decision trees and ensemble techniques
Cong Quan Nguyen, Anh Nguyen, Hieu Tran, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
Spatial Predictive Modeling of Liver Fluke Opisthorchis viverrine (OV) Infection under the Mathematical Models in Hexagonal Symmetrical Shapes Using Machine Learning-Based Forest Classification Regression
Benjamabhorn Pumhirunroj, Patiwat Littidej, Thidarut Boonmars, et al.
Symmetry (2024) Vol. 16, Iss. 8, pp. 1067-1067
Open Access | Times Cited: 2
Enhanced Rubber Yield Prediction in High-Density Plantation Areas Using a GIS and Machine Learning-Based Forest Classification and Regression Model
Patiwat Littidej, Winyoo Kromkratoke, Benjamabhorn Pumhirunroj, et al.
Forests (2024) Vol. 15, Iss. 9, pp. 1535-1535
Open Access | Times Cited: 2
Classification of Moral Decision Making in Autonomous Driving: Efficacy of Boosting Procedures
Amandeep Singh, Yovela Murzello, Sushil Pokhrel, et al.
Information (2024) Vol. 15, Iss. 9, pp. 562-562
Open Access | Times Cited: 2
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis
Shilong Yang, Jiayao Tan, Danyuan Luo, et al.
Computers & Geosciences (2024), pp. 105723-105723
Closed Access | Times Cited: 2
Hazard Assessment of Earthquake Disaster Chains Based on Deep Learning—A Case Study of Mao County, Sichuan Province
Yulin Su, Guangzhi Rong, Yining Ma, et al.
Frontiers in Earth Science (2022) Vol. 9
Open Access | Times Cited: 12
Using computational-intelligence algorithms and remote sensing data to optimize the locations of check dams to control sediment and runoff in Kandolus watershed, Mazandaran, Iran
Shahab S. Band, Subodh Chandra Pal, Sayed M. Bateni, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12966-12988
Closed Access | Times Cited: 10
Projected Rainfall Triggered Landslide Susceptibility Changes in the Hengduan Mountain Region, Southwest China under 1.5–4.0 °C Warming Scenarios Based on CMIP6 Models
Huaxiang Yin, Jiahui Zhang, Sanjit Kumar Mondal, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 214-214
Open Access | Times Cited: 5
A framework for flood depth using hydrodynamic modeling and machine learning in the coastal province of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Y. Nhu Nguyen, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2023)
Closed Access | Times Cited: 5
Fine-Tuning LightGBM Using an Artificial Ecosystem-Based Optimizer for Forest Fire Analysis
Quoc‐Huy Nguyen, Huu Duy Nguyen, Dinh Tan Le, et al.
Forest Science (2022) Vol. 69, Iss. 1, pp. 73-82
Closed Access | Times Cited: 8
A multivariate decomposition–ensemble model for estimating long-term rainfall dynamics
Roya Narimani, Changhyun Jun, Alireza Saedi, et al.
Climate Dynamics (2022) Vol. 61, Iss. 3-4, pp. 1625-1641
Closed Access | Times Cited: 8
Exploration and Comparison of the Effect of Conventional and Advanced Modeling Algorithms on Landslide Susceptibility Prediction: A Case Study from Yadong Country, Tibet
Zhu Liang, Weiping Peng, Wei Liu, et al.
(2023)
Open Access | Times Cited: 4

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