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。

Zhao, Zhiyong 华东师范大学被知名学者引用:185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. Roscoe O,Brady 美国 Harvard University 1975美国科学院院士 ;1982拉斯克奖 Auditory hallucinations across the psychosis spectrum: Evidence of dysconnectivity involving cerebel..

2. 金之钧 中国 北京大学 中国科学院院士 Phase space visibility graph

3. Jack, Clifford R., Jr. 美国 Mayo Clinic - Rochester 2013美国医学院院士 The diamagnetic component map from quantitative susceptibility mapping (QSM) source separation revea..

4. 陆林 中国 北京大学 中国科学院院士 Heterogeneous brain dynamic functional connectivity patterns in first-episode drug-naive patients wi..

5. 滕皋军 中国 东南大学 2021中国科学院院士 Dysconnectivity of Multiple Resting-State Networks Associated With Higher-Order Functions in Sensori..

6. Ana Lucia S,Rodrigues 巴西 University of Federal Santa Catarina Role of Inflammatory Mechanisms in Major Depressive Disorder: From Etiology to Potential Pharmacolog..

7. David J,Madden 美国 Duke University Depth- and curvature-based quantitative susceptibility mapping analyses of cortical iron in Alzheime..

8. Andre,Aleman 荷兰 University of Groningen Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

9. Francesco,Benedetti 意大利 University of Vita Salute San Raffaele Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

10. Cynthia H. Y,Fu 英国 University of East London Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

11. Ian H,Gotlib 美国 Stanford University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

12. Hans Joergen,Grabe 德国 University of Greifswald Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

13. J. Paul,Hamilton 瑞典 LINKOPING University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

14. Ben J,Harrison 澳大利亚 University of Melbourne Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

15. David E.J,Linden 荷兰 Maastricht University Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

16. Brenda W.J.H,Penninx 荷兰 Vrije Universiteit Amsterdam Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

17. Liesbeth,Reneman 荷兰 University of AMSTERDAM Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

18. Kang,Sim 新加坡 Institute MENTAL Health Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

19. Jair C,Soares 美国 University of Texas Health Science Center at Houston Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

20. Dan J,Stein 南非 University of Cape Town Multi-site benchmark classification of major depressive disorder using machine learning on cortical ..

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