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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:

Random Forest-Based Landslide Susceptibility Mapping in Coastal Regions of Artvin, Turkey
Halil Akıncı, Cem Kılıçoğlu, Sedat Doğan
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 9, pp. 553-553
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)
Taşkın Kavzoğlu, Alihan Teke
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 6, pp. 7367-7385
Closed Access | Times Cited: 198
Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and Wuxi counties, China
Mingyong Liao, Haijia Wen, Ling Yang
CATENA (2022) Vol. 217, pp. 106428-106428
Closed Access | Times Cited: 96
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoğlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 84
Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China
Junying Cheng, Xiaoai Dai, Zekun Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2257-2257
Open Access | Times Cited: 44
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 41
Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
Ayşe Yavuz Özalp, Halil Akıncı, Mustafa Zeybek
Water (2023) Vol. 15, Iss. 14, pp. 2661-2661
Open Access | Times Cited: 29
Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
Ziya Usta, Halil Akıncı, Alper Tunga Akın
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1459-1481
Open Access | Times Cited: 16
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model
Halil Akıncı, Ayşe Yavuz Özalp
Acta Geophysica (2021) Vol. 69, Iss. 3, pp. 725-745
Closed Access | Times Cited: 42
Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms
Payam Sajadi, Yan‐Fang Sang, Mehdi Gholamnia, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 35
Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance
Li Zhuo, Yupu Huang, Jing Zheng, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9024-9024
Open Access | Times Cited: 17
Landslide susceptibility analysis using random forest model with SMOTE-ENN resampling algorithm
LU Ming-xi, Lea Tien Tay, Junita Mohamad–Saleh
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
GIS-based for prediction and prevention of environmental geological disaster susceptibility: From a perspective of sustainable development
Xuedong Wang, Chaobiao Zhang, Cui Wang, et al.
Ecotoxicology and Environmental Safety (2021) Vol. 226, pp. 112881-112881
Open Access | Times Cited: 41
Assessment of environmental geological disaster susceptibility under a multimodel comparison to aid in the sustainable development of the regional economy
Cui Wang, Xuedong Wang, Heyong Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 6573-6591
Closed Access | Times Cited: 26
Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya
Sunil Saha, Anik Saha, Tusar Kanti Hembram, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17018-17043
Closed Access | Times Cited: 23
A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020
Junpeng Huang, Xiyong Wu, Sixiang Ling, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 58, pp. 86954-86993
Closed Access | Times Cited: 23
Exploring the decision-making process of ensemble learning algorithms in landslide susceptibility mapping: Insights from local and global explainable AI analyses
Alihan Teke, Taşkın Kavzoğlu
Advances in Space Research (2024) Vol. 74, Iss. 8, pp. 3765-3785
Closed Access | Times Cited: 6
Comparing the effectiveness of landslide susceptibility mapping by using the Frequency ratio and hybrid MCDM models
Jonmenjoy Barman, Syed Sadath Ali, Teachersunday Nongrem, et al.
Results in Engineering (2024), pp. 103205-103205
Open Access | Times Cited: 5
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning
Nurwatik Nurwatik, Muhammad Hidayatul Ummah, Agung Budi Cahyono, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 12, pp. 602-602
Open Access | Times Cited: 20
Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Environment Development and Sustainability (2023) Vol. 26, Iss. 3, pp. 6977-7014
Closed Access | Times Cited: 13
Spatial distribution of near-fault landslides along Litang fault zones, eastern Tibetan Plateau
Yigen Qin, Dongli Zhang, Wenjun Zheng, et al.
Geomorphology (2024) Vol. 455, pp. 109189-109189
Closed Access | Times Cited: 4
UAV technique to localize landslide susceptibility and mitigation proposal: A case of Rinchending Goenpa landslide in Bhutan
Karma Tempa, Kinley Peljor, Sangay Wangdi, et al.
Natural Hazards Research (2021) Vol. 1, Iss. 4, pp. 171-186
Open Access | Times Cited: 26
A Comparative Study of Shallow Machine Learning Models and Deep Learning Models for Landslide Susceptibility Assessment Based on Imbalanced Data
Shiluo Xu, Yingxu Song, Xiulan Hao
Forests (2022) Vol. 13, Iss. 11, pp. 1908-1908
Open Access | Times Cited: 19
The influence of the selection of non-geological disasters sample spatial range on the evaluation of environmental geological disasters susceptibility: a case study of Liulin County
Jianping Chen, Zepeng Wang, Wei Chen, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 15, pp. 44756-44772
Closed Access | Times Cited: 10
Landslide susceptibility mapping for western coastal districts of India using geospatial techniques and eXplainable Artificial Intelligence
Dikshita A. Shetkar, Bappa Das, Sujeet Desai, et al.
Research Square (Research Square) (2025)
Closed Access
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