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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:

Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
Pedro Lima, Stefan Steger, Thomas Glade, et al.
Journal of Mountain Science (2022) Vol. 19, Iss. 6, pp. 1670-1698
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Land use and land cover as a conditioning factor in landslide susceptibility: a literature review
Renata Pacheco Quevedo, Andrés Velástegui-Montoya, Néstor Montalván-Burbano, et al.
Landslides (2023) Vol. 20, Iss. 5, pp. 967-982
Open Access | Times Cited: 95
On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
Nan Wang, Hongyan Zhang, Ashok Dahal, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101800-101800
Open Access | Times Cited: 24
Landslides induced by the 2023 Jishishan Ms6.2 earthquake (NW China): spatial distribution characteristics and implication for the seismogenic fault
Yuandong Huang, Chong Xu, Xiangli He, et al.
npj natural hazards. (2025) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry
Taorui Zeng, Bijing Jin, Thomas Glade, et al.
CATENA (2023) Vol. 236, pp. 107732-107732
Closed Access | Times Cited: 41
Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
Taorui Zeng, Zizheng Guo, Linfeng Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4111-4111
Open Access | Times Cited: 29
Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds
Stefan Steger, Mateo Moreno, Alice Crespi, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 5, pp. 101822-101822
Open Access | Times Cited: 14
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
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2024) Vol. 131, pp. 20-37
Closed Access | Times Cited: 11
Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility
R. S. Ajin, Samuele Segoni, Riccardo Fanti
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Effects of the probability of pulse-like ground motions on landslide susceptibility assessment in near-fault areas
Jing Liu, Hai-ying Fu, Yingbin Zhang, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 1, pp. 31-48
Closed Access | Times Cited: 22
Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China
Xiaoliang Dai, Yunqiang Zhu, Kai Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1513-1513
Open Access | Times Cited: 22
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
Landslide susceptibility assessment in multiple urban slope settings with a landslide inventory augmented by InSAR techniques
Li Chen, Peifeng Ma, Chang Yeon Yu, et al.
Engineering Geology (2023) Vol. 327, pp. 107342-107342
Closed Access | Times Cited: 22
Comparison study of a landslide-event hazard mapping using a multi-approach of fuzzy logic, TRIGRS model, and support vector machine in a data-scarce Andes Mountain region
Johnny Alexánder Vega, César Augusto Hidalgo Montoya
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 9
Open Access | Times Cited: 19
A comparative study of regional landslide susceptibility mapping with multiple machine learning models
Yunhao Wang, Luqi Wang, Songlin Liu, et al.
Geological Journal (2023) Vol. 59, Iss. 9, pp. 2383-2400
Closed Access | Times Cited: 19
Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China
Wancai He, Guoping Chen, Junsan Zhao, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2549-2549
Open Access | Times Cited: 17
Landslide susceptibility mapping core-base factors and models’ performance variability: a systematic review
Santos D. Chicas, Heng Li, Nobuya Mizoue, et al.
Natural Hazards (2024) Vol. 120, Iss. 14, pp. 12573-12593
Closed Access | Times Cited: 8
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
Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy
Mateo Moreno, Luigi Lombardo, Alice Crespi, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169166-169166
Open Access | Times Cited: 16
Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design
Pedro Lima, Stefan Steger, Thomas Glade, et al.
Geomorphology (2023) Vol. 430, pp. 108638-108638
Open Access | Times Cited: 15
From spatio-temporal landslide susceptibility to landslide risk forecast
Tengfei Wang, Ashok Dahal, Zhice Fang, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101765-101765
Open Access | Times Cited: 15
Application of artificial intelligence in geotechnical and geohazard investigations
Wengang Zhang, Biswajeet Pradhan, Bruno Stuyts, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2187-2194
Closed Access | Times Cited: 14
KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations
Ding Xia, Huiming Tang, Thomas Glade, et al.
Mathematical Geosciences (2024) Vol. 56, Iss. 5, pp. 1011-1039
Closed Access | Times Cited: 6
Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway)
Nicola Nocentini, Ascanio Rosi, Luca Piciullo, et al.
Landslides (2024)
Open Access | Times Cited: 6
Assessing regressive erosion effects: Unveiling riverside land use land cover changes post hydroelectric project construction
Andrés Velástegui-Montoya, José Agustín García-Romero, Isabel Adriana Chuizaca-Espinoza, et al.
Environmental Challenges (2024) Vol. 15, pp. 100882-100882
Open Access | Times Cited: 5
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