ResearcherSecond Military Medical UniversityActive in the last 2 years
Hui Jiang
Matched on ORCID iD 0000-0003-3972-1297; OpenAlex author ID A5100742769. Sources: OpenAlex.
Their work
- Papers
- 24 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 61
2012: 1 paper · 2013: none · 2014: none · 2015: 1 paper · 2016: 2 papers · 2017: none · 2018: 1 paper · 2019: 2 papers · 2020: 1 paper · 2021: 7 papers · 2022: 5 papers · 2023: 3 papers · 2024: none · 2025: none · 2026: 1 paper
Papers 24
- Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1148/ryai.260357↗
- Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Co-author DOI 10.1038/s41591-023-02640-w↗
- Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1148/radiol.220329↗
- A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s12885-023-11181-x↗
- Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predicting CD20+ B cells in patients with pancrea… Co-author DOI 10.1007/s00261-021-03285-4↗
- CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-022-03512-6↗
- CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score Analysis. Co-author DOI 10.1016/j.acra.2021.04.014↗
- Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-… Co-author DOI 10.1016/j.acra.2021.11.013↗
- Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s40644-021-00443-1↗
- Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in P… Co-author DOI 10.1002/jmri.27648↗
- Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-021-03159-9↗
- The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. First author DOI 10.1016/j.clinimag.2020.11.039↗
- Downregulation of GSTM2 enhances gemcitabine chemosensitivity of pancreatic cancer in vitro and in vivo. Co-author DOI 10.1016/j.pan.2020.12.008↗
- XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/fonc.2021.671333↗
- Tumor Budding Score Is a Strong and Independent Prognostic Factor in Patients With Pancreatic Ductal Adenocarcinoma: An Evaluation of Whole Slide Pathology Ima… Co-author DOI 10.3389/fonc.2021.740212↗
- B3GNT3: A prognostic biomarker associated with immune cell infiltration in pancreatic adenocarcinoma. Co-author DOI 10.3892/ol.2020.12420↗
- Pros and Cons: High Proportion of Stromal Component Indicates Better Prognosis in Patients With Pancreatic Ductal Adenocarcinoma-A Research Based on the Evalua… Co-author DOI 10.3389/fonc.2020.01472↗
- Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/mpa.0000000000001404↗
- Comparisons of different neoadjuvant chemotherapy regimens with or without stereotactic body radiation therapy for borderline resectable pancreatic cancer: stu… Co-author DOI 10.1186/s13014-019-1254-8↗
- miRNA-1290 Promotes Aggressiveness in Pancreatic Ductal Adenocarcinoma by Targeting IKK1. Co-author DOI 10.1159/000495328↗
- Association between vitamin A, retinol and carotenoid intake and pancreatic cancer risk: Evidence from epidemiologic studies. Co-author DOI 10.1038/srep38936↗
- LncRNAs in pancreatic cancer. Co-author DOI 10.18632/oncotarget.10545↗
- The c-Myc-LDHA axis positively regulates aerobic glycolysis and promotes tumor progression in pancreatic cancer. Co-author DOI 10.1007/s12032-015-0633-8↗
- High expression of delta-like ligand 4 predicts poor prognosis after curative resection for pancreatic cancer. Co-author DOI 10.1245/s10434-011-1968-9↗
Closest collaborators
The 25 strongest of 61 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yun Bian · 14 shared papers, 2019–2026 · strength 1.88
- Paper Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal… DOI 10.1148/ryai.260357↗
- Paper Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. DOI 10.1148/radiol.220329↗
- Paper Tumor Budding Score Is a Strong and Independent Prognostic Factor in Patients With Pancreatic Ductal Adenocarcinoma: An… DOI 10.3389/fonc.2021.740212↗
- Chengwei Shao · 11 shared papers, 2021–2026 · strength 1.56
- Paper Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal… DOI 10.1148/ryai.260357↗
- Paper Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. DOI 10.1148/radiol.220329↗
- Paper Tumor Budding Score Is a Strong and Independent Prognostic Factor in Patients With Pancreatic Ductal Adenocarcinoma: An… DOI 10.3389/fonc.2021.740212↗
- Jieyu Yu · 9 shared papers, 2021–2026 · strength 1.28
- Paper Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal… DOI 10.1148/ryai.260357↗
- Paper Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. DOI 10.1148/radiol.220329↗
- Paper Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Jianping Lu · 9 shared papers, 2021–2023 · strength 1.11
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Kai Cao · 9 shared papers, 2019–2023 · strength 1.03
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Yinghao Meng · 7 shared papers, 2021–2022 · strength 0.85
- Paper Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Paper CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic … DOI 10.1007/s00261-022-03512-6↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Li Wang · 7 shared papers, 2019–2022 · strength 0.81
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic … DOI 10.1007/s00261-022-03512-6↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Jianping Lu · 5 shared papers, 2019–2026 · strength 0.79
- Paper Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal… DOI 10.1148/ryai.260357↗
- Paper Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. DOI 10.1148/radiol.220329↗
- Paper Tumor Budding Score Is a Strong and Independent Prognostic Factor in Patients With Pancreatic Ductal Adenocarcinoma: An… DOI 10.3389/fonc.2021.740212↗
- Jianming Zheng · 6 shared papers, 2016–2022 · strength 0.59
- Paper Tumor Budding Score Is a Strong and Independent Prognostic Factor in Patients With Pancreatic Ductal Adenocarcinoma: An… DOI 10.3389/fonc.2021.740212↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. DOI 10.1097/mpa.0000000000001404↗
- Suizhi Gao · 5 shared papers, 2019–2023 · strength 0.58
- Paper A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma. DOI 10.1186/s12885-023-11181-x↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Pros and Cons: High Proportion of Stromal Component Indicates Better Prognosis in Patients With Pancreatic Ductal Adeno… DOI 10.3389/fonc.2020.01472↗
- Gang Jin · 6 shared papers, 2012–2023 · strength 0.57
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Paper Pros and Cons: High Proportion of Stromal Component Indicates Better Prognosis in Patients With Pancreatic Ductal Adeno… DOI 10.3389/fonc.2020.01472↗
- Chao Ma · 4 shared papers, 2021–2022 · strength 0.52
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Shiwei Guo · 4 shared papers, 2019–2023 · strength 0.50
- Paper A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma. DOI 10.1186/s12885-023-11181-x↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Pros and Cons: High Proportion of Stromal Component Indicates Better Prognosis in Patients With Pancreatic Ductal Adeno… DOI 10.3389/fonc.2020.01472↗
- Xiaohan Shi · 3 shared papers, 2019–2023 · strength 0.36
- Paper A neoadjuvant therapy compatible prognostic staging for resected pancreatic ductal adenocarcinoma. DOI 10.1186/s12885-023-11181-x↗
- Paper Pros and Cons: High Proportion of Stromal Component Indicates Better Prognosis in Patients With Pancreatic Ductal Adeno… DOI 10.3389/fonc.2020.01472↗
- Paper Comparisons of different neoadjuvant chemotherapy regimens with or without stereotactic body radiation therapy for bord… DOI 10.1186/s13014-019-1254-8↗
- Jing Li · 3 shared papers, 2021–2022 · strength 0.34
- Paper Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Per… DOI 10.1016/j.acra.2021.11.013↗
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Jianming Zheng · 3 shared papers, 2012–2021 · strength 0.33
- Paper B3GNT3: A prognostic biomarker associated with immune cell infiltration in pancreatic adenocarcinoma. DOI 10.3892/ol.2020.12420↗
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper High expression of delta-like ligand 4 predicts poor prognosis after curative resection for pancreatic cancer. DOI 10.1245/s10434-011-1968-9↗
- Ling Zhang · 2 shared papers, 2023 · strength 0.28
- Chengwei Chen · 1 shared paper, 2026 · strength 0.26
- Qi Li · 2 shared papers, 2021–2022 · strength 0.24
- Paper Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Per… DOI 10.1016/j.acra.2021.11.013↗
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Xiaoyi Huang · 3 shared papers, 2016–2018 · strength 0.22
- Paper miRNA-1290 Promotes Aggressiveness in Pancreatic Ductal Adenocarcinoma by Targeting IKK1. DOI 10.1159/000495328↗
- Paper Association between vitamin A, retinol and carotenoid intake and pancreatic cancer risk: Evidence from epidemiologic st… DOI 10.1038/srep38936↗
- Paper LncRNAs in pancreatic cancer. DOI 10.18632/oncotarget.10545↗
- Na Ta · 3 shared papers, 2016–2018 · strength 0.22
- Paper miRNA-1290 Promotes Aggressiveness in Pancreatic Ductal Adenocarcinoma by Targeting IKK1. DOI 10.1159/000495328↗
- Paper Association between vitamin A, retinol and carotenoid intake and pancreatic cancer risk: Evidence from epidemiologic st… DOI 10.1038/srep38936↗
- Paper LncRNAs in pancreatic cancer. DOI 10.18632/oncotarget.10545↗
- Lingyu Zhu · 1 shared paper, 2023 · strength 0.16
- Gang Y Jin · 1 shared paper, 2023 · strength 0.16
- Shuo Shen · 1 shared paper, 2023 · strength 0.16
- Jian Wang · 1 shared paper, 2023 · strength 0.16
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.