Zonglei Zhen

3.4k total citations
67 papers, 1.6k citations indexed

About

Zonglei Zhen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Zonglei Zhen has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Zonglei Zhen's work include Functional Brain Connectivity Studies (36 papers), Neural dynamics and brain function (21 papers) and Face Recognition and Perception (18 papers). Zonglei Zhen is often cited by papers focused on Functional Brain Connectivity Studies (36 papers), Neural dynamics and brain function (21 papers) and Face Recognition and Perception (18 papers). Zonglei Zhen collaborates with scholars based in China, United States and Germany. Zonglei Zhen's co-authors include Jia Liu, Yiying Song, Xiangzhen Kong, Lijie Huang, Xu Wang, Zetian Yang, Jesse Gomez, Kevin S. Weiner, Siyuan Hu and Kalanit Grill‐Spector and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Zonglei Zhen

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zonglei Zhen China 20 1.3k 333 327 155 132 67 1.6k
Mark M. Schira Australia 22 1.2k 0.9× 168 0.5× 356 1.1× 116 0.7× 141 1.1× 48 1.7k
Zeynep M. Saygin United States 16 1.5k 1.1× 431 1.3× 409 1.3× 59 0.4× 210 1.6× 40 1.9k
Shruti Japee United States 18 1.2k 1.0× 365 1.1× 177 0.5× 68 0.4× 107 0.8× 37 1.6k
Vaidehi Natu United States 20 1.6k 1.2× 344 1.0× 191 0.6× 332 2.1× 55 0.4× 35 1.9k
Michael Waskom United States 11 1.4k 1.1× 411 1.2× 388 1.2× 39 0.3× 188 1.4× 15 2.0k
Markus Gschwind Switzerland 16 1.1k 0.9× 214 0.6× 311 1.0× 61 0.4× 179 1.4× 32 1.3k
Jesse Gomez United States 18 1.1k 0.9× 253 0.8× 224 0.7× 223 1.4× 41 0.3× 31 1.3k
Jöran Lepsien Germany 22 1.7k 1.3× 348 1.0× 235 0.7× 70 0.5× 162 1.2× 56 2.2k
Elisha P. Merriam United States 19 2.0k 1.5× 304 0.9× 147 0.4× 109 0.7× 219 1.7× 47 2.4k
Brett L. Foster United States 28 2.1k 1.7× 220 0.7× 161 0.5× 74 0.5× 167 1.3× 53 2.5k

Countries citing papers authored by Zonglei Zhen

Since Specialization
Citations

This map shows the geographic impact of Zonglei Zhen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zonglei Zhen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zonglei Zhen more than expected).

Fields of papers citing papers by Zonglei Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zonglei Zhen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zonglei Zhen. The network helps show where Zonglei Zhen may publish in the future.

Co-authorship network of co-authors of Zonglei Zhen

This figure shows the co-authorship network connecting the top 25 collaborators of Zonglei Zhen. A scholar is included among the top collaborators of Zonglei Zhen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zonglei Zhen. Zonglei Zhen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhen, Zonglei, et al.. (2024). Disentangle the group and individual components of functional connectome with autoencoders. Neural Networks. 181. 106786–106786. 1 indexed citations
2.
Zhang, Jiacai, et al.. (2023). Advanced Reinforcement Learning and Its Connections with Brain Neuroscience. Research. 6. 64–64. 14 indexed citations
3.
Uquillas, Federico d’Oleire, et al.. (2022). A multifaceted gradient in human cerebellum of structural and functional development. Nature Neuroscience. 25(9). 1129–1133. 22 indexed citations
4.
Zhen, Zonglei, et al.. (2022). From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. Medical Image Analysis. 83. 102681–102681. 6 indexed citations
5.
Wang, Xu, Zonglei Zhen, Shan Xu, et al.. (2021). Behavioral and neural correlates of social network size: The unique and common contributions of face recognition and extraversion. Journal of Personality. 90(2). 294–305. 9 indexed citations
6.
Gomez, Jesse, Zonglei Zhen, & Kevin S. Weiner. (2021). The relationship between transcription and eccentricity in human V1. Brain Structure and Function. 226(9). 2807–2818. 6 indexed citations
7.
Chen, Chen, Ying Zhang, Zonglei Zhen, et al.. (2021). Quantifying the variability of neural activation in working memory: A functional probabilistic atlas. NeuroImage. 239. 118301–118301. 8 indexed citations
8.
Xu, Shan, et al.. (2021). The Face Module Emerged in a Deep Convolutional Neural Network Selectively Deprived of Face Experience. Frontiers in Computational Neuroscience. 15. 626259–626259. 12 indexed citations
9.
Zhen, Zonglei, et al.. (2020). Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks. Frontiers in Computational Neuroscience. 14. 5 indexed citations
10.
Zhou, Liqin, Zonglei Zhen, Jia Liu, & Ke Zhou. (2020). Brain Structure and Functional Connectivity Associated with Individual Differences in the Attentional Blink. Cerebral Cortex. 30(12). 6224–6237. 9 indexed citations
11.
Natu, Vaidehi, Jesse Gomez, Michael Barnett, et al.. (2019). Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences. 116(41). 20750–20759. 194 indexed citations
12.
Xue, Tian, et al.. (2019). Multi-Item Discriminability Pattern to Faces in Developmental Prosopagnosia Reveals Distinct Mechanisms of Face Processing. Cerebral Cortex. 30(5). 2986–2996. 12 indexed citations
13.
Wang, Jieqiong, Jing Li, Meng Li, et al.. (2015). Automatic segmentation of the lateral geniculate nucleus: Application to control and glaucoma patients. Journal of Neuroscience Methods. 255. 104–114. 12 indexed citations
14.
Kong, Xiangzhen, Xu Wang, Lijie Huang, et al.. (2014). Measuring individual morphological relationship of cortical regions. Journal of Neuroscience Methods. 237. 103–107. 94 indexed citations
15.
Kong, Xiangzhen, Zonglei Zhen, & Jia Liu. (2014). Measuring Regional Diffusivity Dependency via Mutual Information. Max Planck Digital Library. 1 indexed citations
16.
Kong, Feng, Zonglei Zhen, Jingguang Li, et al.. (2014). Sex-Related Neuroanatomical Basis of Emotion Regulation Ability. PLoS ONE. 9(5). e97071–e97071. 38 indexed citations
17.
Huang, Yi, Zonglei Zhen, Yiying Song, et al.. (2013). Motor Training Increases the Stability of Activation Patterns in the Primary Motor Cortex. PLoS ONE. 8(1). e53555–e53555. 18 indexed citations
18.
Zhen, Zonglei, et al.. (2013). The Comparison of Multiple Testing Corrections Methods in Genome-Wide Association Studies. Advances in Psychological Science. 21(10). 1874–1882. 4 indexed citations
19.
Zhu, Qi, Yiying Song, Siyuan Hu, et al.. (2010). Heritability of the Specific Cognitive Ability of Face Perception. Current Biology. 20(2). 137–142. 187 indexed citations
20.
Hu, Siyuan, et al.. (2009). Dissociation of attention and intention in human posterior parietal cortex: an fMRI study. European Journal of Neuroscience. 29(10). 2083–2091. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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