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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 assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine
Faming Huang, Chi Yao, Weiping Liu, et al.
Geomatics Natural Hazards and Risk (2018) Vol. 9, Iss. 1, pp. 919-938
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
Wu Deng, Junjie Xu, Huimin Zhao
IEEE Access (2019) Vol. 7, pp. 20281-20292
Open Access | Times Cited: 523
Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Faming Huang, Zhongshan Cao, Jianfei Guo, et al.
CATENA (2020) Vol. 191, pp. 104580-104580
Closed Access | Times Cited: 389
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
Faming Huang, Jing Zhang, Chuangbing Zhou, et al.
Landslides (2019) Vol. 17, Iss. 1, pp. 217-229
Closed Access | Times Cited: 384
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
Zhilu Chang, Zhen Du, Fan Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 502-502
Open Access | Times Cited: 238
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
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
Zizheng Guo, Yu Shi, Faming Huang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101249-101249
Open Access | Times Cited: 180
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
Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
Taorui Zeng, Liyang Wu, Dario Peduto, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101645-101645
Open Access | Times Cited: 76
Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
Deying Li, Faming Huang, Liangxuan Yan, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3664-3664
Open Access | Times Cited: 110
Site selection by using the multi-criteria technique—a case study of Bafra, Turkey
Cem Kılıçoğlu, Mehmet Çetin, Burak Arıcak, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 9
Closed Access | Times Cited: 101
Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network
Li Zhu, Liang-Hao Huang, Linyu Fan, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1576-1576
Open Access | Times Cited: 99
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
Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector
Yue Wang, Haijia Wen, Deliang Sun, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2625-2625
Open Access | Times Cited: 59
Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China
Heping Shu, Zizheng Guo, Shi Qi, et al.
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3623-3623
Open Access | Times Cited: 59
Machine Learning Reveals Lithology and Soil as Critical Parameters in Landslide Susceptibility for Petrópolis (Rio de Janeiro State, Brazil)
Enner Alcântara, Cheila Flávia de Praga Baião, Yasmim Carvalho Guimarães, et al.
Natural Hazards Research (2025)
Open Access | Times Cited: 1
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
GIS-based landslide susceptibility mapping for a part of the North Anatolian Fault Zone between Reşadiye and Koyulhisar (Turkey)
Gökhan Demir
CATENA (2019) Vol. 183, pp. 104211-104211
Closed Access | Times Cited: 55
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
Modeling Shallow Landslide Susceptibility and Assessment of the Relative Importance of Predisposing Factors, through a GIS-Based Statistical Analysis
Massimo Conforti, Fabio Ietto
Geosciences (2021) Vol. 11, Iss. 8, pp. 333-333
Open Access | Times Cited: 45
Landslide Susceptibility Zonation of Idukki District Using GIS in the Aftermath of 2018 Kerala Floods and Landslides: a Comparison of AHP and Frequency Ratio Methods
Anjana V. Thomas, Sunil Saha, Jean Homian Danumah, et al.
Journal of Geovisualization and Spatial Analysis (2021) Vol. 5, Iss. 2
Closed Access | Times Cited: 42
Influence of anthropogenic activities on landslide susceptibility: A case study in Solan district, Himachal Pradesh, India
Sangeeta, Sanjay Kumar Singh
Journal of Mountain Science (2023) Vol. 20, Iss. 2, pp. 429-447
Closed Access | Times Cited: 21
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios
Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, et al.
Gondwana Research (2023) Vol. 124, pp. 1-17
Closed Access | Times Cited: 21
Exploring performance and robustness of shallow landslide susceptibility modeling at regional scale using different training and testing sets
Massimo Conforti, Luigi Borrelli, Gino Cofone, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 7
Closed Access | Times Cited: 19
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
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