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 1-25 of 41 citing articles:

How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China
Zizheng Guo, Bixia Tian, Yuhang Zhu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 3, pp. 877-894
Open Access | Times Cited: 33

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: 34

GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
Md. Sharafat Chowdhury, Md. Naimur Rahman, Md. Sujon Sheikh, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23424-e23424
Open Access | Times Cited: 30

Estimating weakening on hillslopes caused by strong earthquakes
Chuanjie Xi, Hakan Tanyaş, Luigi Lombardo, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 13

Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1

Impact of Non-Landslide Sample Sampling Strategies and Model Selection on Landslide Susceptibility Mapping
Weijun Jiang, Ling Li, Ruiqing Niu
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2132-2132
Open Access | Times Cited: 1

Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China
Zijin Fu, Fawu Wang, Jie Dou, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3345-3345
Open Access | Times Cited: 17

Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network
Yan Li, Dongping Ming, Liang Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 566-566
Open Access | Times Cited: 7

Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning
Yuhang Jiang, Wei Wang, Lifang Zou, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 1, pp. 509-529
Closed Access | Times Cited: 15

Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Tran Xuan Bien, Mudassir Iqbal, Arshad Jamal, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4641-4660
Open Access | Times Cited: 14

Landslide development and susceptibility along the Yunling–Yanjing segment of the Lancang River using grid and slope units
Hong Wen, Siyuan Zhao, Yuhang Liang, et al.
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6149-6168
Closed Access | Times Cited: 5

Evaluating the uncertainty in landslide susceptibility prediction: effect of spatial data variability and evaluation unit choices
Shengwu Qin, Jiasheng Cao, Jingyu Yao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access

Advanced machine learning techniques for enhanced landslide susceptibility mapping: Integrating geotechnical parameters in the case of Southwestern Cyprus
Ploutarchos Tzampoglou, Dimitrios Loukidis, Aristodemos Anastasiades, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access

Earthquake-induced landslide prediction using a semi-supervised incremental learning strategy
Ying Zeng, Yingbin Zhang, Jing Liu
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 5
Closed Access

Impact of negative sampling strategies on landslide susceptibility assessment
Yuhang Zhu, Shuhao Liu, Kunlong Yin, et al.
Advances in Space Research (2025)
Closed Access

Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3

Early gestational diabetes mellitus risk predictor using neural network with NearMiss
Min Zhao, Xiaojie Su, Lihong Huang
Gynecological Endocrinology (2025) Vol. 41, Iss. 1
Open Access

A dataset-enhanced Linformer model for geo-hazards susceptibility assessment: a case study of the railway in Southwest China
Nan Jiang, Yange Li, Zheng Han, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 17
Open Access | Times Cited: 9

Characteristics and susceptibility assessment of the earthquake-triggered landslides in moderate-minor earthquake prone areas at southern margin of Sichuan Basin, China
Hong Wen, Xiyong Wu, Sixiang Ling, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 14

Predictive Displacement Models Considering the Probability of Pulse-Like Ground Motions for Earthquake-Induced Landslides Hazard Assessment
Jing Liu, Yingbin Zhang, Peiyi Xu, et al.
Journal of Earthquake Engineering (2023) Vol. 28, Iss. 7, pp. 1793-1817
Closed Access | Times Cited: 7

Assessing the impact of RCP4.5 and RCP8.5 scenarios on landslide susceptibility mapping using support vector machine: A case study of Penang Island, Malaysia
Mohamed Khatif Tawaf Mohamed Yusof, Ahmad Safuan A. Rashid, Mohd Faisal Abdul Khanan, et al.
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 133, pp. 103496-103496
Closed Access | Times Cited: 7

Optimization of negative sample selection for landslide susceptibility mapping based on machine learning using K-means-KNN algorithm
Chao Liu
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4131-4152
Closed Access | Times Cited: 7

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