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。
        当前同舟云学术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,同舟云学术“2023全球学者学术影响力排行版”入榜的前10万学者等。

Cheng, Zixuan 广东医学科学院被知名学者引用:96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. 郑海荣 中国 中国科学院 2023中国科学院院士 Artificial intelligence in multiparametric magnetic resonance imaging: A review

2. Hahn ,Horst 德国 Karlsruhe Institute of Technolog 2017美国工程院院士 Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Different..

3. 于金明 中国 山东第一医科大学 中国工程院院士 Computed Tomography-Based Delta-Radiomics Analysis for Discriminating Radiation Pneumonitis in Patie..

4. 郑海荣 中国 中国科学院 2023中国科学院院士 Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features

5. Luca Maria,Sconfienza 意大利 University of Milan AI applications in musculoskeletal imaging: a narrative review

6. Luca Maria,Sconfienza 意大利 University of Milan Quality assessment of the MRI-radiomics studies for MGMT promoter methylation prediction in glioma: ..

7. Jorge S,Reis-Filho 美国 Memorial Sloan-Kettering Cancer Center Metaplastic Breast Cancer: Current Understanding and Future Directions

8. Eric O,Aboagye 英国 Imperial College London Computed tomography-based radiomic markers are independent prognosticators of survival in advanced l..

9. 季加孚 中国 北京大学 主任医师 Pre- and Post-treatment Double-Sequential-Point Dynamic Radiomic Model in the Response Prediction of..

10. 王乐勇 中国 南京大学 教授 Red/NIR emission carbonized polymer dots based on citric acid-benzoylurea and their application in l..

11. 余孝其 中国 四川大学 Red/NIR emission carbonized polymer dots based on citric acid-benzoylurea and their application in l..

12. Antonio,Omuro 美国 Yale University Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for ..

13. Erik,Sahai 英国 Francis Crick Institute Application of digital pathology-based advanced analytics of tumour microenvironment organisation to..

14. Mithat,Gonen 美国 Memorial Sloan-Kettering Cancer Center Ethnic diversity in treatment response for colorectal cancer: proof of concept for radiomics-driven ..

15. Fojo, Tito 美国 Columbia University Ethnic diversity in treatment response for colorectal cancer: proof of concept for radiomics-driven ..

16. Lawrence H,Schwartz 美国 Columbia University Ethnic diversity in treatment response for colorectal cancer: proof of concept for radiomics-driven ..

17. Suri, Jasjit S. 美国 AtheroPoint Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering..

18. Aaron A,Cohen-Gadol 美国 Indiana University Targeting intra-tumoral heterogeneity of human brain tumors with in vivo imaging: A roadmap for imag..

19. Masoom A,Haider 加拿大 University of Toronto T2-weighted MRI radiomics in high-grade intramedullary osteosarcoma: predictive accuracy in assessin..

20. 黄昌明 中国 福建医科大学 CT-based radiomics nomogram for differentiating gastric hepatoid adenocarcinoma from gastric adenoca..

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