Standout Papers

Deep learning-based landslide susceptibility mapping 2021 2026 2022 2024271
  1. Deep learning-based landslide susceptibility mapping (2021)
    Mohammad Azarafza, Mehdi Azarafza et al. Scientific Reports

Immediate Impact

1 from Science/Nature 51 standout
Sub-graph 1 of 23

Citing Papers

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
2024 Standout
Comprehensive survey of artificial intelligence techniques and strategies for climate change mitigation
2024 Standout
2 intermediate papers

Works of Haluk Akgün being referenced

Deep learning-based landslide susceptibility mapping
2021 Standout
Evaluation and comparison of landslide susceptibility mapping methods: a case study for the Ulus district, Bartın, northern Turkey
2014
and 1 more

Author Peers

Author Last Decade Papers Cites
Haluk Akgün 764 937 447 631 84 1.8k
Rafig Azzam 784 709 912 343 113 2.4k
Joseph Wartman 950 865 142 461 72 1.7k
Neil Dixon 1309 1240 496 425 107 2.6k
Zhenming Shi 1385 1238 466 529 129 2.1k
Reza Derakhshani 373 813 229 416 90 1.8k
Alberto Ledesma 1723 929 348 412 65 2.3k
Clarence Edward Choi 1032 2746 382 370 110 3.1k
Jean Vaunat 2142 1164 590 257 74 2.7k
Hongxin Chen 1318 979 166 319 151 3.0k
Mohammad Azarafza 608 1165 422 670 45 1.8k

All Works

Loading papers...

Rankless by CCL
2026