Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Stefan Steger, Mateo Moreno, Alice Crespi, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 4, pp. 1483-1506
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling
Ashok Dahal, Luigi Lombardo
Computers & Geosciences (2023) Vol. 176, pp. 105364-105364
Open Access | Times Cited: 57
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: 17
The influence of spatial patterns in rainfall on shallow landslides
Hugh G. Smith, Andrew Neverman, Harley Betts, et al.
Geomorphology (2023) Vol. 437, pp. 108795-108795
Open Access | Times Cited: 22
Full seismic waveform analysis combined with transformer neural networks improves coseismic landslide prediction
Ashok Dahal, Hakan Tanyaş, Luigi Lombardo
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 11
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: 11
Mapping Landslide Susceptibility Over Large Regions With Limited Data
Jacob Woodard, Benjamin B. Mirus, Matthew M. Crawford, et al.
Journal of Geophysical Research Earth Surface (2023) Vol. 128, Iss. 5
Open Access | Times Cited: 19
Speech-recognition in landslide predictive modelling: A case for a next generation early warning system
Zhice Fang, Hakan Tanyaş, Tolga Görüm, et al.
Environmental Modelling & Software (2023) Vol. 170, pp. 105833-105833
Open Access | Times Cited: 16
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
A probabilistic early warning model of rainfall-induced landslides accounting for multiple factors and correlation structures
Yousheng Li, Echuan Yan, Wenjiao Xiao, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
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
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: 14
Pan‐European Landslide Risk Assessment: From Theory to Practice
Francesco Caleca, Luigi Lombardo, Stefan Steger, et al.
Reviews of Geophysics (2025) Vol. 63, Iss. 1
Open Access
Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change
Qigen Lin, Stefan Steger, Massimiliano Pittore, et al.
Earth s Future (2023) Vol. 11, Iss. 9
Open Access | Times Cited: 11
Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China
Hao Zheng, Mingtao Ding
Ecological Informatics (2024), pp. 102862-102862
Open Access | Times Cited: 3
Dynamic rainfall-induced landslide susceptibility: a step towards a unified forecasting system
Mahnoor Ahmed, Hakan Tanyaş, Raphaël Huser, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 7
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system
Mahnoor Ahmed, Hakan Tanyaş, Raphaël Huser, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103593-103593
Open Access | Times Cited: 7
Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China
Zhongyuan Xu, Zhilin Xiao, Xiaoyan Zhao, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4044-4044
Open Access | Times Cited: 2
An ensemble neural network approach for space–time landslide predictive modelling
Jana P. Lim, Giorgio Santinelli, Ashok Dahal, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104037-104037
Open Access | Times Cited: 2
Comparing physical and statistical landslide susceptibility models at the scale of individual trees
Raphael Spiekermann, Feiko van Zadelhoff, Jan Schindler, et al.
Geomorphology (2023) Vol. 440, pp. 108870-108870
Closed Access | Times Cited: 4
Space-time modeling of cascading hazards: Chaining wildfires, rainfall and landslide events through machine learning
Mariano Di Napoli, Cannur Eroglu, Bastian van den Bout, et al.
CATENA (2024) Vol. 246, pp. 108452-108452
Open Access | Times Cited: 1
PS‐InSAR post‐processing for assessing the spatio‐temporal differential kinematics of complex landslide systems: A case study of DeBeque Canyon Landslide (Colorado, USA)
Marta Zocchi, Michele Delchiaro, Francesco Troiani, et al.
Earth Surface Processes and Landforms (2024) Vol. 49, Iss. 14, pp. 4862-4880
Open Access | Times Cited: 1
Open gridded climate datasets can help investigating the relation between meteorological anomalies and geomorphic hazards in mountainous areas
Roberta Paranunzio, Francesco Marra
Global and Planetary Change (2023) Vol. 232, pp. 104328-104328
Open Access | Times Cited: 3
Historical Shifts in Seasonality and Timing of Extreme Precipitation
Gaby J. Gründemann, Enrico Zorzetto, Nick van de Giesen, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 24
Open Access | Times Cited: 3
Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions
Massimiliano Pittore, Piero Campalani, Kathrin Renner, et al.
Natural Hazards (2023) Vol. 119, Iss. 2, pp. 837-858
Open Access | Times Cited: 2
Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis
Xinyi Guo, Bihong Fu, Jie Du, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 2, pp. 4265-4295
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top