Standout Papers

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis 2020 2026 2022 2024245
  1. Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis (2020)
    Xiangjie Li, Kui Wang et al. Nature Communications

Immediate Impact

1 from Science/Nature 57 standout
Sub-graph 1 of 23

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
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Endogenous stimuli-responsive separating microneedles to inhibit hypertrophic scar through remodeling the pathological microenvironment
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2 intermediate papers

Works of Huize Pan being referenced

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis
2020 Standout

Author Peers

Author Last Decade Papers Cites
Huize Pan 468 86 13 95 14 606
Daniel Dimitrov 359 156 3 70 12 568
Anne Senabouth 438 116 15 95 15 568
Sami Saarenpää 325 108 14 59 11 515
Yusuke Koga 365 103 31 129 22 638
Anthony E. Rizzardi 263 72 13 97 13 666
Sara E. Gookin 282 71 105 80 12 639
Aline Roch 226 103 6 49 14 524
Zhuoqing Fang 355 89 13 68 22 576
Stephanie Wu 317 76 68 61 19 608
Chengzhe Tian 378 130 26 113 12 707

All Works

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2026