Standout Papers

Review the state-of-the-art technologies of semantic segmentation based on deep learning 2022 2026 2023 2024332
  1. Review the state-of-the-art technologies of semantic segmentation based on deep learning (2022)
    Yujian Mo, Yan Wu et al. Neurocomputing

Immediate Impact

22 standout
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Citing Papers

BB-GeoGPT: A framework for learning a large language model for geographic information science
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2 intermediate papers

Works of Yujian Mo being referenced

Review the state-of-the-art technologies of semantic segmentation based on deep learning
2022 Standout

Author Peers

Author Last Decade Papers Cites
Yujian Mo 205 19 68 97 19 417
Rui Zhang 281 5 28 125 21 481
Peng Sun 215 5 38 58 14 402
R. Padilla 162 9 42 62 12 433
Hao Wang 200 6 33 84 40 424
Hayat Ullah 242 4 96 133 22 504
Zengyan Wu 222 5 23 47 26 433
Zhenggong Han 194 10 25 84 12 376
Yuan Zhou 222 9 14 93 19 448
Şahin Işık 147 18 83 45 36 394
Teerath Kumar 159 14 28 105 12 455

All Works

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2026