Standout Papers

A comprehensive review of deep learning applications in hydrology and water resources 2020 2026 2022 2024280
  1. A comprehensive review of deep learning applications in hydrology and water resources (2020)
    Muhammed Sit, Bekir Zahit Demiray et al. Water Science & Technology

Immediate Impact

60 standout
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Citing Papers

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
2025 Standout
The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy
2025 Standout
2 intermediate papers

Works of Muhammed Sit being referenced

D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks
2021
Web-based data analytics framework for well forecasting and groundwater quality
2020
and 2 more

Author Peers

Author Last Decade Papers Cites
Muhammed Sit 307 292 305 18 667
S. Samadi 471 282 330 35 709
Xiaohua Dong 418 189 352 52 808
Md Monirul Islam 478 160 213 15 663
Mohammad Karimi 377 121 118 37 733
Onuwa Okwuashi 316 132 176 38 824
Quoc‐Huy Nguyen 457 217 215 34 699
Bagher Shirmohammadi 347 432 264 11 720
Mahdi Valikhan Anaraki 180 216 233 21 710
Ramona Pelich 372 136 171 21 678
Yang Li 286 119 162 24 703

All Works

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Rankless by CCL
2026