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

52 standout
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Citing Papers

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2 intermediate papers

Works of Feilin Liu being referenced

Review the state-of-the-art technologies of semantic segmentation based on deep learning
2022 Standout
NANOG Attenuates Hair Follicle-Derived Mesenchymal Stem Cell Senescence by Upregulating PBX1 and Activating AKT Signaling
2019

Author Peers

Author Last Decade Papers Cites
Feilin Liu 267 186 114 186 23 869
Xu Li 120 117 77 293 28 988
Dai Fei Elmer Ker 169 57 33 71 45 917
Yu Wan 276 163 20 26 27 754
Zhibo Xiao 319 86 54 36 36 945
Chia‐Chun Tsai 127 94 90 45 77 888
Adib Keikhosravi 176 15 26 102 30 868
Jun Dai 561 163 78 20 23 1.1k
Wei Kuang 591 83 28 214 51 1.1k
Jeong Geun Kim 83 127 16 39 54 1.1k
Xinchen Liu 170 26 19 373 45 940

All Works

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2026