Standout Papers

Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinic... 2021 2026 2022 2024144
  1. Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning (2021)
    Jialiang Yang, Lei Guo et al. Computational and Structural Biotechnology Journal

Immediate Impact

1 from Science/Nature 25 standout
Sub-graph 1 of 12

Citing Papers

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
2025 Standout
Cuproptosis: molecular mechanisms, cancer prognosis, and therapeutic applications
2025 Standout
2 intermediate papers

Works of Binbin Ji being referenced

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data
2022
Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning
2021 Standout

Author Peers

Author Last Decade Papers Cites
Binbin Ji 144 119 34 90 22 376
Wei Su 182 86 25 61 29 458
Liang Xiong 123 45 27 91 32 424
Yuchen Zhang 218 143 19 62 35 442
Hongyu Jing 218 162 12 40 15 426
Leilei Huang 174 71 12 81 32 448
Mao Ding 181 109 50 41 25 392
Qiong Song 213 110 12 90 36 440
Sandeep R. Bhave 207 66 23 155 11 440
Jun Shi 113 31 19 72 38 409
Christopher W. Szeto 169 63 20 60 28 395

All Works

Loading papers...

Rankless by CCL
2026