Standout Papers

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications 2020 2026 2022 2024234
  1. Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications (2020)
    Deisy Chaves, Eduardo Fidalgo et al. Sensors

Immediate Impact

3 from Science/Nature 62 standout
Sub-graph 1 of 24

Citing Papers

Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
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2 intermediate papers

Works of Deisy Chaves being referenced

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications
2020 Standout

Author Peers

Author Last Decade Papers Cites
Deisy Chaves 52 37 11 64 55 14 288
Francisco Jáñez-Martino 39 21 7 64 47 8 294
John R. Wolberg 23 29 9 38 26 20 261
Lei Wang 27 15 2 46 112 10 244
Filippo Laganà 35 35 10 32 35 20 210
Kazem Meidani 18 91 1 38 61 10 330
Mingzhen Shao 50 50 1 60 63 16 307
Domenico De Carlo 31 16 4 59 37 18 191
Feifei Liu 84 47 2 43 17 32 309
Jianhao Liu 14 98 2 77 108 25 310
Zhipeng Zhao 63 26 144 22 17 296

All Works

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2026