Standout Papers

How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences 2024 202647
  1. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences (2024)
    Shijie Jiang, Alexander Brenning et al. Earth s Future

Immediate Impact

56 standout
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Citing Papers

Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm
2025 Standout
A review of machine learning applications in polymer composites: advancements, challenges, and future prospects
2025 Standout
2 intermediate papers

Works of Guo Yu being referenced

How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
2024 Standout
Urban flash flood forecast using support vector machine and numerical simulation
2017

Author Peers

Author Last Decade Papers Cites
Guo Yu 412 263 138 176 23 504
Yingchun Huang 303 273 138 177 18 419
Vinit Sehgal 343 222 133 252 18 523
Mohit Prakash Mohanty 516 272 140 110 31 571
Roshan Srivastav 397 241 143 178 24 542
Miyuru B. Gunathilake 279 223 97 146 40 434
Lu Su 334 204 187 81 19 456
Pham Thi Thao Nhi 378 340 88 206 17 569
Mahesh Gautam 327 199 163 142 21 514
Prasit Girish Agnihotri 329 213 79 134 26 417
Suli Pan 322 282 123 84 28 484

All Works

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2026