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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:

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

Showing 1-25 of 28 citing articles:

Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models
Zhilu Chang, Jinsong Huang, Faming Huang, et al.
Gondwana Research (2023) Vol. 117, pp. 307-320
Closed Access | Times Cited: 76
Uncertainties of landslide susceptibility prediction considering different landslide types
Faming Huang, Haowen Xiong, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 2954-2972
Open Access | Times Cited: 72
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
Hanxiang Xiong, Chuanming Ma, Minghong Li, et al.
The Science of The Total Environment (2023) Vol. 866, pp. 161430-161430
Closed Access | Times Cited: 54
Research in the Field of Natural Hazards Based on Bibliometric Analysis
Yuandong Huang, Chong Xu, Xujiao Zhang, et al.
Natural Hazards Review (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 24
Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes
Gizem Karakaş, Erdinç Örsan Ünal, Sinem Çetınkaya, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108491-108491
Closed Access | Times Cited: 12
A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 326-341
Open Access | Times Cited: 22
Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends
Aonan Dong, Jie Dou, Yonghu Fu, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 22
A benchmark dataset and workflow for landslide susceptibility zonation
Massimiliano Alvioli, Marco Loche, Liesbet Jacobs, et al.
Earth-Science Reviews (2024) Vol. 258, pp. 104927-104927
Open Access | Times Cited: 8
A frequency ratio–based sampling strategy for landslide susceptibility assessment
Leilei Liu, Yili Zhang, Ting Xiao, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 28
A Novel Hybrid LMD–ETS–TCN Approach for Predicting Landslide Displacement Based on GPS Time Series Analysis
Wanqi Luo, Jie Dou, Yonghu Fu, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 229-229
Open Access | Times Cited: 26
Exploring the Evolution of Seismic Hazard and Risk Assessment Research: A Bibliometric Analysis
Afiqah Ismail, Ahmad Safuan A. Rashid, Talal Amhadi, et al.
Sustainability (2024) Vol. 16, Iss. 7, pp. 2687-2687
Open Access | Times Cited: 4
Quantifying uncertainty in landslide susceptibility mapping due to sampling randomness
Leilei Liu, Song Zhao, Can Yang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 114, pp. 104966-104966
Closed Access | Times Cited: 4
Bivariate Landslide Susceptibility Analysis: Clarification, Optimization, Open Software, and Preliminary Comparison
Langping Li, Hengxing Lan
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1418-1418
Open Access | Times Cited: 11
Impact of negative sampling strategies on landslide susceptibility assessment
Yuhang Zhu, Shuhao Liu, Kunlong Yin, et al.
Advances in Space Research (2025)
Closed Access
Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor detection
Angelo J. Soto-Vergel, Juan C. Vélez, René Amaya–Mier, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104094-104094
Closed Access | Times Cited: 9
Improving ML-based landslide susceptibility using ensemble method for sample selection: a case study of Kangra district in Himachal Pradesh, India
Ankit Singh, Nitesh Dhiman, K. C. Niraj, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
Investigating the Effects of Different Data Classification Methods on Landslide Susceptibility Mapping
Halil Akıncı, Ayşe Yavuz Özalp
Advances in Space Research (2024)
Closed Access | Times Cited: 3
Global research trends in seismic landslide: A bibliometric analysis
Mengjie Yang, Shenghua Cui, Tao Jiang
Earthquake research advances (2024) Vol. 5, Iss. 1, pp. 100329-100329
Open Access | Times Cited: 2
Comparison between Machine Learning and Physical Models Applied to the Evaluation of Co-Seismic Landslide Hazard
José Carlos Román-Herrera, Martín Jesús Rodríguez-Peces, Julio Garzón-Roca
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8285-8285
Open Access | Times Cited: 5
Machine learning with a susceptibility index-based sampling strategy for landslide susceptibility assessment
Leilei Liu, Yili Zhang, Shaohe Zhang, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15683-15713
Closed Access | Times Cited: 8
Landslide Susceptibility Assessment in Yulong County Using Contribution Degree Clustering Method and Stacking Ensemble Coupled Model Based on Certainty Factor
Yang Qin, Zhifang Zhao, Dingyi Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3582-3582
Open Access | Times Cited: 1
Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping
Duc A. Hoang, Van Hung Le, Pham Van Dong, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2187-2187
Open Access | Times Cited: 3
Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models
Faming Huang, Haowen Xiong, Xiaoting Zhou, et al.
KSCE Journal of Civil Engineering (2023) Vol. 28, Iss. 1, pp. 45-62
Closed Access | Times Cited: 3
A Bibliometric Review of Earthquake and Machine Learning Research
Osman Nuri Akarsu
Civil Engineering Beyond Limits (2024) Vol. 5, Iss. 1, pp. 1-10
Open Access
Multivariate Leimkuhler Curve: Properties and Applications to Analysis of Bibliometric Data
P. R. Shifna, N. Unnikrishnan Nair, S. M. Sunoj
Sankhya A (2024) Vol. 86, Iss. 2, pp. 999-1024
Closed Access
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