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
  2. Utilizing Hybrid Machine Learning and Soft Computing Techniques for Landslide Susceptibility Mapping in a Drainage Basin (2024)
    Yimin Mao, Fei Teng et al. Water
  3. Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals (2023)
    Yaser A. Nanehkaran, Biyun Chen et al. Water
  4. Comparative Analysis for Slope Stability by Using Machine Learning Methods (2023)
    Yaser A. Nanehkaran, Li-Cai Zhu et al. Applied Sciences

Immediate Impact

32 standout
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Citing Papers

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
2024 Standout
Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
2024 Standout
2 intermediate papers

Works of Mohammad Azarafza being referenced

Deep learning-based landslide susceptibility mapping
2021 Standout
Application of the modified Q-slope classification system for sedimentary rock slope stability assessment in Iran
2019
and 1 more

Author Peers

Author Last Decade Papers Cites
Mohammad Azarafza 1165 670 608 45 1.8k
Haluk Akgün 937 631 764 84 1.8k
Suzanne Lacasse 1299 691 1235 52 2.2k
Junwei Ma 938 304 679 49 1.5k
Reza Derakhshani 813 416 373 90 1.8k
Qiqing Wang 996 559 261 72 1.8k
Lin Wang 708 727 1187 46 1.9k
Olga Mavrouli 1686 494 490 42 1.9k
Danqing Song 941 546 853 95 1.6k
Dongpo Wang 1246 359 672 72 1.7k
Yiping Wu 1317 503 946 64 1.6k

All Works

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Rankless by CCL
2026