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。

Wang, Yu-liang 深圳市南山区人民医院被知名学者引用:34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 Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) i..

2. David C. Van Essen 美国 Washington University in St. Louis 2017美国科学院院士 Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value i..

3. Kristin R,Swanson 美国 Mayo Clinic - Rochester An image-based modeling framework for predicting spatiotemporal brain cancer biology within individu..

4. Sven,Haller 瑞士 University of Geneva Prediction of H3K27M Alteration Status in Brainstem Glioma Using Multi-Shell Diffusion MRI Metrics

5. Frederik,Barkhof 荷兰 Vrije Universiteit Amsterdam Prediction of H3K27M Alteration Status in Brainstem Glioma Using Multi-Shell Diffusion MRI Metrics

6. 吴涛 中国 首都医科大学 Microstructural and functional impairment of the basal ganglia in Wilson's disease: a multimodal neu..

7. 程震 中国 中国科学院 Protein scaffolds: antibody alternatives for cancer diagnosis and therapy

8. Emmanuel A,Tsochatzis 英国 Royal Free Hospital Neuroimaging correlates of brain injury in Wilson's disease: a multimodal, whole-brain MRI study

9. Jonathan D,Rohrer 英国 University College London Neuroimaging correlates of brain injury in Wilson's disease: a multimodal, whole-brain MRI study

10. Thomas T,Warner 英国 University College London Neuroimaging correlates of brain injury in Wilson's disease: a multimodal, whole-brain MRI study

11. John,Suckling 英国 University of Cambridge Memory recovery in relation to default mode network impairment and neurite density during brain tumo..

12. 卢光明 中国 东部战区总医院 Radiomics-based MRI for predicting Erythropoietin-producing hepatocellular receptor A2 expression an..

13. 陈俐娟 中国 四川大学 Study of Diffusion Weighted Imaging Derived Diffusion Parameters as Biomarkers for the Microenvironm..

14. Clark C,Chen 美国 University of Minnesota State of Radiomics in Glioblastoma

15. David G,Norris 荷兰 Radboud University Nijmegen Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease

16. Michael,Ewers 德国 University of MUNICH Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease

17. Reinhold,Schmidt 奥地利 Medicine University Graz Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease

18. Frank-Erik,de Leeuw 荷兰 Radboud University Nijmegen Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease

19. Sebastian,Brandner 英国 University College London World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Featur..

20. Tarek A,Yousry 英国 University College London The diagnostic role of diffusional kurtosis imaging in glioma grading and differentiation of gliomas..

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