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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:

Effectiveness of Newmark-based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression
Chuanjie Xi, Mei Han, Xiewen Hu, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

An information quantity and machine learning integrated model for landslide susceptibility mapping in Jiuzhaigou, China
Yunjie Yang, Rui Zhang, Tianyu Wang, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 10185-10217
Closed Access | Times Cited: 2
A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China
Nan Jiang, Yange Li, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Subgrade uplift prediction along a high-speed railway using machine learning techniques in Sichuan, China
Hongyi Yan, Xiaoyan Zhao, Liming Jian, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 2
Exploring groundwater patterns in Souss-Massa Mountainous Basin, Morocco: A fusion of fractal analysis and machine learning techniques on gravity data
Fatima Zahra Echogdali, Said Boutaleb, Aqil Tariq, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101891-101891
Open Access | Times Cited: 2
Utilizing deep learning approach to develop landslide susceptibility mapping considering landslide types
Yue Wang, Chao Zhou, Ying Cao, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 2
Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm
Tran Xuan Bien, Pham The Truyen, Tran Van Phong, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17777-17798
Closed Access | Times Cited: 11
Predictive model of regional coseismic landslides’ permanent displacement considering uncertainty
Chuanjie Xi, Xiewen Hu, Guotao Ma, et al.
Landslides (2022) Vol. 19, Iss. 10, pp. 2513-2534
Closed Access | Times Cited: 10
A method for predicting the subgrade uplift intensity along a high-speed railway track in red-bed areas in China
Hongyi Yan, Xiaoyan Zhao, Bernd Wünnemann, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 8
Closed Access | Times Cited: 6
Snow avalanche susceptibility assessment based on ensemble machine learning model in the central Shaluli Mountain
Rui Bian, Kaiyang Huang, Xin Liao, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 8
Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia’s mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis
Saeed Alqadhi, Javed Mallick, Hoang Thi Hang, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 2, pp. 3169-3194
Closed Access | Times Cited: 4
A Comprehensive Comparison of Stable and Unstable Area Sampling Strategies in Large-Scale Landslide Susceptibility Models Using Machine Learning Methods
Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2923-2923
Open Access | Times Cited: 1
Enhanced analysis of landslide susceptibility mapping in the proximity of main roads in the province of Skikda, Algeria: using NAS for efficient performance and faster processing
Nadjib Mebirouk, Moussa Amrane, Salah Messast, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6449-6474
Closed Access | Times Cited: 1
Identification of Potential Landslides in the Gaizi Valley Section of the Karakorum Highway Coupled with TS-InSAR and Landslide Susceptibility Analysis
Kaixiong Lin, Guli Jiapaer, Tao Yu, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3653-3653
Open Access | Times Cited: 1
A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility
Yongxing Lu, Honggen Xu, Can Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3663-3663
Open Access | Times Cited: 1
Flood mapping, damage assessment, and susceptibility zonation in northeastern Bangladesh in 2022 using geospatial datasets
Mizanur Rahman, Mohammad Kamruzzaman, Limon Deb, et al.
Progress in Disaster Science (2024), pp. 100402-100402
Open Access | Times Cited: 1
Influences of Non-Landslide Sampling Strategies on Landslide Susceptibility Mapping: A Case of Tianshui City, Northwest of China
Chaoying Ke, Ping Sun, Shuai Zhang, et al.
(2024)
Closed Access
Landslide susceptibility modeling and mapping at Dien Bien province, Vietnam using Bagging based MLP neural network
Dam Duc Nguyen, Hiep Van Le, Binh Thai Pham
IOP Conference Series Materials Science and Engineering (2023) Vol. 1289, Iss. 1, pp. 012020-012020
Open Access | Times Cited: 1
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