知名学者引用


        除了所发表论文的被引用频次、期刊质量能够彰显学者的学术影响力以外,被知名学者引用也是一项学术评价的重要指标。
        当前全球学者库认定的知名学者包括:诺贝尔奖、菲尔兹奖、图灵奖等奖项获得者,多个国家的院士,全球学者库“2023全球学者学术影响力排行版”入榜的前10万学者等。

杨明磊 宁波大学被知名学者引用:88人次(黄金会员以上可以申请导出本人论文被全部知名学者引用的数据)

1. 赫捷 中国 中国医学科学院 中国科学院院士 Society for Translational Medicine expert consensus on training and certification standards for surg..

2. 严枫 中国 南京医科大学 Variation of peripheral blood-based biomarkers for response of anti-PD-1 immunotherapy in non-small-..

3. 郭保林 中国 西安交通大学 教授 Degradable biomedical elastomers: paving the future of tissue repair and regenerative medicine

4. 单鸿 中国 中山大学 Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based rad..

5. Seung Hong,Choi 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..

6. Park, Chul-Kee 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..

7. Park, Sung-Hye 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..

8. 胡金莲 中国 香港城市大学 Pain relief effect of angiopuncture therapy on patients with postoperative pain: A clinical trial

9. 刘宝瑞 中国 南京大学 主任医师 Predictive value of peripheral blood biomarkers in patients with non-small-cell lung cancer respondi..

10. Alberto M,Marchevsky 美国 Cedars-Sinai Medical Center Standardized Classification of Lung Adenocarcinoma Subtypes and Improvement of Grading Assessment Th..

11. Shinji,Naganawa 日本 Nagoya University Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis predict..

12. Jin Mo,Goo 韩国 Seoul National University Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopatho..

13. Kim, Young-Jin 韩国 Yonsei University Feasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adeno..

14. Shinji,Naganawa 日本 Nagoya University New trend in artificial intelligence-based assistive technology for thoracic imaging

15. Fang-Fang,Yin 美国 Duke University Development of a multi-feature-combined model: proof-of-concept with application to local failure pr..

16. Genichiro,Ishii 日本 National Cancer Center Hospital East Efficacy of Preoperative Biopsy in Predicting the Newly Proposed Histologic Grade of Resected Lung A..

17. Saussez, Sven 比利时 University of Mons Macrophage Profiling in Head and Neck Cancer to Improve Patient Prognosis and Assessment of Cancer C..

18. 石乐明 中国 复旦大学上海医学院 教授 博士生导师 Differences of molecular events driving pathological and radiological progression of lung adenocarci..

19. 陈海泉 中国 复旦大学上海医学院 主任医师 Differences of molecular events driving pathological and radiological progression of lung adenocarci..

20. Marco,Presta 意大利 University of Brescia The Pro-Oncogenic Sphingolipid-Metabolizing Enzyme β-Galactosylceramidase Modulates the Proteomic L..

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