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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:

Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
Faming Huang, Jiawu Chen, Zhen Du, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 6, pp. 377-377
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model
Faming Huang, Zhongshan Cao, Shui‐Hua Jiang, et al.
Landslides (2020) Vol. 17, Iss. 12, pp. 2919-2930
Closed Access | Times Cited: 236
Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
Faming Huang, Jun Yan, Xuanmei Fan, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 2, pp. 101317-101317
Open Access | Times Cited: 141
Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
Faming Huang, Ye Zhou, Shui‐Hua Jiang, et al.
CATENA (2021) Vol. 202, pp. 105250-105250
Closed Access | Times Cited: 112
Landslide susceptibility prediction using artificial neural networks, SVMs and random forest: hyperparameters tuning by genetic optimization algorithm
Mehrdad Daviran, Mehdi Shamekhi, Reza Ghezelbash, et al.
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 1, pp. 259-276
Closed Access | Times Cited: 83
Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 4
Closed Access | Times Cited: 67
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
Faming Huang, Siyu Tao, Deying Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4436-4436
Open Access | Times Cited: 51
Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, et al.
Natural hazards and earth system sciences (2022) Vol. 22, Iss. 4, pp. 1395-1417
Open Access | Times Cited: 48
A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives
Yingzheng Fan, Xingyu Wang, Thomas Funk, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 19, pp. 13546-13564
Closed Access | Times Cited: 39
Landslide Susceptibility Mapping Based on Interpretable Machine Learning from the Perspective of Geomorphological Differentiation
Deliang Sun, D C Chen, Jialan Zhang, et al.
Land (2023) Vol. 12, Iss. 5, pp. 1018-1018
Open Access | Times Cited: 35
Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
Mingqi Yan, Jiarui Yang, Xiaoyong Ni, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130695-130695
Closed Access | Times Cited: 16
Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)
Baoyi Zhang, Jiacheng Tang, Yuke Huan, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Landslide susceptibility prediction based on image semantic segmentation
Bowen Du, Zirong Zhao, Xiao Hu, et al.
Computers & Geosciences (2021) Vol. 155, pp. 104860-104860
Closed Access | Times Cited: 54
Landslide Susceptibility Mapping Using Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong
Yangyang Chen, Dongping Ming, Ling Xiao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3625-3639
Open Access | Times Cited: 49
Study on landslide susceptibility mapping based on rock–soil characteristic factors
Xianyu Yu, Kaixiang Zhang, Yingxu Song, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 45
Predicting soil erosion susceptibility associated with climate change scenarios in the Central Highlands of Sri Lanka
Sumudu Senanayake, Biswajeet Pradhan
Journal of Environmental Management (2022) Vol. 308, pp. 114589-114589
Closed Access | Times Cited: 31
Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China
Yuke Huan, Lei Song, Umair Khan, et al.
Environmental Earth Sciences (2022) Vol. 82, Iss. 1
Open Access | Times Cited: 31
A comparative study of different neural network models for landslide susceptibility mapping
Zhan'ao Zhao, Yi He, Sheng Yao, et al.
Advances in Space Research (2022) Vol. 70, Iss. 2, pp. 383-401
Closed Access | Times Cited: 29
Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests
Chongzhi Chen, Zhangquan Shen, Yuhui Weng, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4378-4378
Open Access | Times Cited: 19
Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors
Wenbin Li, Xuanmei Fan, Faming Huang, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4134-4134
Open Access | Times Cited: 47
Landslide susceptibility mapping using information value method in Jhelum Valley of the Himalayas
Salman Farooq, Mian Sohail Akram
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 10
Closed Access | Times Cited: 38
A bibliometric analysis of the landslide susceptibility research (1999–2021)
Lei‐Lei Liu, Jun Zhang, Jing-Ze Li, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14309-14334
Closed Access | Times Cited: 28
Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam
Quan Vu Viet Du, Huu Duy Nguyen, Viet Thanh Pham, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 15
Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering
Rafael Muñoz‐Carpena, Álvaro Carmona-Cabrero, Ziwen Yu, et al.
PLOS Water (2023) Vol. 2, Iss. 8, pp. e0000059-e0000059
Open Access | Times Cited: 15
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China
Xu Wang, Wen Nie, Wei Xie, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1645-1661
Closed Access | Times Cited: 5
A Comparison Method for 3D Laser Point Clouds in Displacement Change Detection for Arch Dams
Yijing Li, Ping Liu, Huokun Li, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 3, pp. 184-184
Open Access | Times Cited: 30
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