Standout Papers

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning:... 2022 2026 2023 202487
  1. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study (2022)
    Yuming Jiang, Zhicheng Zhang et al. The Lancet Digital Health

Immediate Impact

1 from Science/Nature 69 standout
Sub-graph 1 of 22

Citing Papers

An evaluation framework for clinical use of large language models in patient interaction tasks
2025 Standout
Invasion and metastasis in cancer: molecular insights and therapeutic targets
2025 Standout
2 intermediate papers

Works of Chuanli Chen being referenced

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study
2022 Standout
Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning
2021

Author Peers

Author Last Decade Papers Cites
Chuanli Chen 354 428 137 201 20 629
Zepang Sun 335 313 137 179 23 551
Sujuan Xi 265 239 121 216 22 650
Ko Woon Park 179 393 212 99 32 692
Maria Ciolina 160 395 237 438 24 704
Hirotoshi Takiyama 338 164 207 285 41 600
Ece Ateş Kuş 314 608 53 98 15 696
Tatsuya Ohnishi 296 169 178 258 17 579
Peter Siersema 471 169 484 241 21 739
Shuwen Sun 186 447 119 125 14 613
Marissa Daniels 583 160 69 203 14 673

All Works

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2026