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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:

AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China
Tianjun Qi, Yan Zhao, Xingmin Meng, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1819-1819
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Field model experiments and numerical analysis of rainfall-induced shallow loess landslides
Ping Sun, Haojie Wang, Gang Wang, et al.
Engineering Geology (2021) Vol. 295, pp. 106411-106411
Closed Access | Times Cited: 66
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: 57
High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia
Okoli Jude Emeka, Haslinda Nahazanan, Faten Nahas, et al.
Geosciences (2023) Vol. 13, Iss. 2, pp. 34-34
Open Access | Times Cited: 23
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning
Shengwu Qin, Xu Guo, Jingbo Sun, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3383-3383
Open Access | Times Cited: 46
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: 31
Comprehensive performance assessment of landslide susceptibility mapping with MLP and random forest: a case study after Elazig earthquake (24 Jan 2020, Mw 6.8), Turkey
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 29
Landslides Triggered by the 2016 Heavy Rainfall Event in Sanming, Fujian Province: Distribution Pattern Analysis and Spatio-Temporal Susceptibility Assessment
Siyuan Ma, Xiaoyi Shao, Chong Xu
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2738-2738
Open Access | Times Cited: 22
Insight into the Characteristics and Triggers of Loess Landslides during the 2013 Heavy Rainfall Event in the Tianshui Area, China
Xiaoyi Shao, Siyuan Ma, Chong Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4304-4304
Open Access | Times Cited: 18
Insight from a Physical-Based Model for the Triggering Mechanism of Loess Landslides Induced by the 2013 Tianshui Heavy Rainfall Event
Siyuan Ma, Xiaoyi Shao, Chong Xu, et al.
Water (2023) Vol. 15, Iss. 3, pp. 443-443
Open Access | Times Cited: 15
Debris flow susceptibility assessment based on boosting ensemble learning techniques: a case study in the Tumen River basin, China
Zelu Chen, Hechun Quan, Ri Jin, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2359-2382
Closed Access | Times Cited: 4
Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach
Yan Zhao, Xingmin Meng, Tianjun Qi, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4813-4813
Open Access | Times Cited: 27
Insight into data-driven model for the formation mechanism and causative factors of landslides induced by the 2013 Tianshui extreme rainfall event
Siyuan Ma, Xiaoyi Shao, Chong Xu
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Combination of Conditioning Factors for Generation of Landslide Susceptibility Maps by Extreme Gradient Boosting in Cuenca, Ecuador
Esteban Bravo-López, Tomás Fernández, Chester Sellers, et al.
Algorithms (2025) Vol. 18, Iss. 5, pp. 258-258
Open Access
Distribution Modeling and Factor Correlation Analysis of Landslides in the Large Fault Zone of the Western Qinling Mountains: A Machine Learning Algorithm
Tianjun Qi, Yan Zhao, Xingmin Meng, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 4990-4990
Open Access | Times Cited: 21
Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence
Xiang Zhang, Minghui Zhang, Xin Liu, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11485-11525
Closed Access | Times Cited: 3
Centrifuge modeling of intact clayey loess slope by rainfall
Changyu Liang, Shuren Wu
Environmental Earth Sciences (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 2
Multi-scale analysis of the susceptibility of different landslide types and identification of the main controlling factors
Yuqian Yang, Shuangyun Peng, Bangmei Huang, et al.
Ecological Indicators (2024) Vol. 168, pp. 112797-112797
Open Access | Times Cited: 2
Expedite Quantification of Landslides Using Wireless Sensors and Artificial Intelligence for Data Controlling Practices
Pravin R. Kshirsagar, Hariprasath Manoharan, Samir Kasim, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 7
Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms
Tianjun Qi, Xingmin Meng, Yan Zhao
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2724-2724
Open Access | Times Cited: 1
Improving Landslide Recognition on UAV Data through Transfer Learning
Kaixin Yang, Wei Li, Xinran Yang, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10121-10121
Open Access | Times Cited: 6
A Scenario-Based Case Study: Using AI to Analyze Casualties from Landslides in Chittagong Metropolitan Area, Bangladesh
Edris Alam, Fahim Sufi, Abu Reza Md. Towfiqul Islam
Sustainability (2023) Vol. 15, Iss. 5, pp. 4647-4647
Open Access | Times Cited: 3
Determination of GIS-Based Landslide Susceptibility and Ground Dynamics with Geophysical Measurements and Machine Learning Algorithms
Hilmi Dindar, Çağan ALEVKAYALI
International Journal of Geosynthetics and Ground Engineering (2023) Vol. 9, Iss. 4
Open Access | Times Cited: 3
Machine learning and artificial intelligence models development in rainfall-induced landslide prediction
Hastuadi Harsa, Anistia Malinda Hidayat, Adi Mulsandi, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 12, Iss. 1, pp. 262-262
Open Access | Times Cited: 5
Characteristics and RISM of sliding flow landslides triggered by prolonged heavy rainfall in the loess area of Tianshui, China
Jianqi Zhuang, Jianbing Peng, Chenhui Du, et al.
(2022)
Open Access | Times Cited: 4
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