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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:

Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China
Yi-xing Zhang, Hengxing Lan, Langping Li, et al.
Journal of Mountain Science (2020) Vol. 17, Iss. 2, pp. 340-357
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

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: 91
Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India
Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, et al.
Advances in Space Research (2021) Vol. 68, Iss. 7, pp. 2819-2840
Closed Access | Times Cited: 81
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Halil Akıncı, Mustafa Zeybek
Natural Hazards (2021) Vol. 108, Iss. 2, pp. 1515-1543
Closed Access | Times Cited: 74
Landslide susceptibility mapping and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms
Wubiao Huang, Mingtao Ding, Zhenhong Li, et al.
CATENA (2022) Vol. 222, pp. 106866-106866
Open Access | Times Cited: 53
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: 40
GIS ​– ​based flood susceptibility mapping using frequency ratio and information value models in upper Abay river basin, ​Ethiopia
Abinet Addis
Natural Hazards Research (2023) Vol. 3, Iss. 2, pp. 247-256
Open Access | Times Cited: 32
GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia
Abinet Addis
Journal of Engineering (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 31
An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest
Xin Xiao, Yi Zou, Jiangcheng Huang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India
Jonmenjoy Barman, Jayanta Das
Advances in Space Research (2024) Vol. 74, Iss. 3, pp. 1197-1224
Closed Access | Times Cited: 10
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
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
Permafrost degradation induced thaw settlement susceptibility research and potential risk analysis in the Qinghai-Tibet Plateau
Renwei Li, Mingyi Zhang, Pavel Konstantinov, et al.
CATENA (2022) Vol. 214, pp. 106239-106239
Closed Access | Times Cited: 31
An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox
Wubiao Huang, Mingtao Ding, Zhenhong Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3408-3408
Open Access | Times Cited: 30
Effects of the probability of pulse-like ground motions on landslide susceptibility assessment in near-fault areas
Jing Liu, Hai-ying Fu, Yingbin Zhang, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 1, pp. 31-48
Closed Access | Times Cited: 21
Rapid intelligent evaluation method and technology for determining engineering rock mass quality
Faquan Wu, Jie Wu, Han Bao, et al.
Rock Mechanics Bulletin (2023) Vol. 2, Iss. 2, pp. 100038-100038
Open Access | Times Cited: 20
Landslide spatial prediction using cluster analysis
Zheng Zhao, Hengxing Lan, Langping Li, et al.
Gondwana Research (2024) Vol. 130, pp. 291-307
Closed Access | Times Cited: 6
Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India
Jonmenjoy Barman, Jayanta Das
Journal of Spatial Science (2024) Vol. 69, Iss. 3, pp. 963-993
Closed Access | Times Cited: 6
Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon
Sunmin Lee, Won-Kyung Baek, Hyung-Sup Jung, et al.
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8189-8189
Open Access | Times Cited: 40
Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
Tingyu Zhang, Yanan Li, Tao Wang, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 26
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
Landslide risk evaluation and its causative factors in typical mountain environment of China: a case study of Yunfu City
Wenfu Wu, Songjing Guo, Zhenfeng Shao
Ecological Indicators (2023) Vol. 154, pp. 110821-110821
Open Access | Times Cited: 15
Assessment of resampling methods on performance of landslide susceptibility predictions using machine learning in Kendari City, Indonesia
Septianto Aldiansyah, Farida Wardani
Water Practice & Technology (2024) Vol. 19, Iss. 1, pp. 52-81
Open Access | Times Cited: 5
GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India
Harithaa Senthilkumar, Evany Nithya Selvaraj
Open Geosciences (2025) Vol. 17, Iss. 1
Open Access
Relationship between continuous or discontinuous of controlling factors and landslide susceptibility in the high-cold mountainous areas, China
Heping Shu, Shi Qi, Xingrong Liu, et al.
Ecological Indicators (2025) Vol. 172, pp. 113313-113313
Open Access
Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam
Chinh Luu, Quynh Duy Bui, Romulus Costache, et al.
Natural Hazards (2021) Vol. 108, Iss. 3, pp. 3229-3251
Closed Access | Times Cited: 32
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