Standout Papers

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, t... 2021 2026 2022 2024387
  1. Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021)
    Guang Yang, Qinghao Ye et al. Information Fusion

Immediate Impact

60 standout
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Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
2025 Standout
3 intermediate papers

Works of Qinghao Ye being referenced

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
2021 Standout

Author Peers

Author Last Decade Papers Cites
Qinghao Ye 203 64 40 253 164 20 674
Prajoy Podder 74 71 11 331 223 37 794
Fahad Shamshad 238 27 24 220 257 10 609
Marcin Kowalski 223 224 63 142 292 71 812
Wei‐Hung Weng 57 63 9 267 129 21 601
Ajay Mittal 308 23 7 221 250 37 755
Daniel Rückert 62 34 5 365 184 14 681
Ying Weng 192 74 4 160 89 32 597
Sangheum Hwang 122 21 12 215 407 26 689
Xiaodong Zhang 111 31 37 416 442 27 708
Jeremias Sulam 147 25 12 116 269 37 766

All Works

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2026