Yu‐Feng Zang

39.6k total citations · 12 hit papers
244 papers, 26.9k citations indexed

About

Yu‐Feng Zang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Yu‐Feng Zang has authored 244 papers receiving a total of 26.9k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Cognitive Neuroscience, 96 papers in Radiology, Nuclear Medicine and Imaging and 47 papers in Psychiatry and Mental health. Recurrent topics in Yu‐Feng Zang's work include Functional Brain Connectivity Studies (178 papers), Neural dynamics and brain function (79 papers) and Advanced MRI Techniques and Applications (61 papers). Yu‐Feng Zang is often cited by papers focused on Functional Brain Connectivity Studies (178 papers), Neural dynamics and brain function (79 papers) and Advanced MRI Techniques and Applications (61 papers). Yu‐Feng Zang collaborates with scholars based in China, United States and Canada. Yu‐Feng Zang's co-authors include Xi‐Nian Zuo, Yong He, Chao‐Gan Yan, Chaozhe Zhu, Lixia Tian, Tianzi Jiang, Xindi Wang, Yufeng Wang, Xiangyu Long and Yingli Lu and has published in prestigious journals such as Journal of Neuroscience, Gastroenterology and PLoS ONE.

In The Last Decade

Yu‐Feng Zang

234 papers receiving 26.5k citations

Hit Papers

DPABI: Data Processing & Analysis ... 2004 2026 2011 2018 2016 2006 2004 2011 2008 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Feng Zang China 69 21.7k 10.1k 5.1k 3.3k 2.2k 244 26.9k
Bharat B. Biswal United States 68 24.0k 1.1× 10.7k 1.1× 3.4k 0.7× 3.8k 1.1× 1.7k 0.8× 439 29.8k
Tianzi Jiang China 76 18.3k 0.8× 9.5k 0.9× 4.6k 0.9× 3.4k 1.0× 1.4k 0.6× 484 26.6k
Andrew P. Holmes United Kingdom 37 18.7k 0.9× 5.9k 0.6× 3.2k 0.6× 3.0k 0.9× 1.5k 0.7× 96 26.6k
Xi‐Nian Zuo China 63 21.0k 1.0× 8.9k 0.9× 3.6k 0.7× 4.4k 1.3× 1.2k 0.5× 168 24.9k
Bernard Mazoyer France 77 20.7k 1.0× 7.3k 0.7× 5.3k 1.1× 4.2k 1.3× 2.8k 1.3× 280 32.0k
Martin I. Sereno United States 52 25.0k 1.2× 8.1k 0.8× 3.9k 0.8× 3.5k 1.0× 1.4k 0.6× 126 32.8k
Michael D. Greicius United States 53 26.7k 1.2× 9.3k 0.9× 6.2k 1.2× 5.2k 1.5× 2.2k 1.0× 124 34.7k
Michael P. Milham United States 93 28.2k 1.3× 9.0k 0.9× 7.3k 1.4× 5.8k 1.7× 1.4k 0.6× 250 34.5k
Michael Fox United States 61 27.9k 1.3× 9.9k 1.0× 3.7k 0.7× 4.2k 1.3× 3.9k 1.8× 205 34.7k
Richard G. Wise United Kingdom 85 16.1k 0.7× 6.0k 0.6× 2.6k 0.5× 3.1k 0.9× 2.4k 1.1× 285 26.1k

Countries citing papers authored by Yu‐Feng Zang

Since Specialization
Citations

This map shows the geographic impact of Yu‐Feng Zang'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 Yu‐Feng Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Feng Zang more than expected).

Fields of papers citing papers by Yu‐Feng Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Feng Zang. 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 Yu‐Feng Zang. The network helps show where Yu‐Feng Zang may publish in the future.

Co-authorship network of co-authors of Yu‐Feng Zang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Feng Zang. A scholar is included among the top collaborators of Yu‐Feng Zang 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 Yu‐Feng Zang. Yu‐Feng Zang 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.
Wang, Jue, Ye Wang, Xiaolong Li, et al.. (2025). Function‐Specific Localization in the Supplementary Motor Area: A Potential Effective Target for Tourette Syndrome. CNS Neuroscience & Therapeutics. 31(2). e70280–e70280. 1 indexed citations
3.
Feng, Zijian, et al.. (2024). Utilizing Centromedian Thalamus Connectivity to Personalize Noninvasive Neuromodulation Targets. CNS Neuroscience & Therapeutics. 30(12). e70120–e70120.
4.
Lu, Hanbing, et al.. (2024). Neuronal basis of high frequency fMRI fluctuation: direct evidence from simultaneous recording. Frontiers in Human Neuroscience. 18. 1501310–1501310. 1 indexed citations
5.
Wu, Zhao-Min, Peng Wang, Yun Liu, et al.. (2024). The underlying neuropsychological and neural correlates of the impaired Chinese reading skills in children with attention deficit hyperactivity disorder. European Child & Adolescent Psychiatry. 33(11). 3979–3992. 3 indexed citations
6.
Zhang, Qiurong, et al.. (2023). Impaired segregation of the attention deficit hyperactivity disorder related pattern in children. Journal of Psychiatric Research. 170. 111–121.
7.
Zhao, Na, Wen Li, Shu-Fang Zhang, et al.. (2021). Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic. Frontiers in Psychiatry. 12. 23 indexed citations
8.
Sun, Ying, Yun Rong, Yu‐Feng Zang, Min Pu, & Xu Xiang. (2019). Highly Efficient Lithium Recovery from Pre-Synthesized Chlorine-Ion-Intercalated LiAl-Layered Double Hydroxides via a Mild Solution Chemistry Process. Materials. 12(12). 1968–1968. 34 indexed citations
9.
Zhang, Hang, et al.. (2015). Functional connectivity among brain networks in continuous feedback of finger force. Neuroscience. 289. 134–143. 4 indexed citations
10.
Mao, Dewang, Zhongxiang Ding, Wei Liao, et al.. (2015). Low-Frequency Fluctuations of the Resting Brain: High Magnitude Does Not Equal High Reliability. PLoS ONE. 10(6). e0128117–e0128117. 20 indexed citations
11.
Wang, Jue, Ning Yang, Wei Liao, et al.. (2015). Dorsal anterior cingulate cortex in typically developing children: Laterality analysis. Developmental Cognitive Neuroscience. 15. 117–129. 11 indexed citations
12.
Wang, Jue, Zhiqiang Zhang, Gong‐Jun Ji, et al.. (2015). Frequency-Specific Alterations of Local Synchronization in Idiopathic Generalized Epilepsy. Medicine. 94(32). e1374–e1374. 24 indexed citations
13.
Korhonen, Vesa, Teemu Myllylä, Xindi Wang, et al.. (2014). Synchronous Multiscale Neuroimaging Environment for Critically Sampled Physiological Analysis of Brain Function: Hepta-Scan Concept. Brain Connectivity. 4(9). 677–689. 44 indexed citations
14.
Liao, Wei, Guo‐Rong Wu, Qiang Xu, et al.. (2014). DynamicBC : A MATLAB Toolbox for Dynamic Brain Connectome Analysis. Brain Connectivity. 4(10). 780–790. 227 indexed citations
15.
Liao, Wei, Zhiqiang Zhang, Dante Mantini, et al.. (2013). Relationship Between Large-Scale Functional and Structural Covariance Networks in Idiopathic Generalized Epilepsy. Brain Connectivity. 3(3). 240–254. 63 indexed citations
16.
Ji, Gong‐Jun, Zhiqiang Zhang, Han Zhang, et al.. (2013). Correction: Disrupted Causal Connectivity in Mesial Temporal Lobe Epilepsy. PLoS ONE. 8(9). 5 indexed citations
17.
Peng, Jiang, Fang, et al.. (2011). Decreased regional homogeneity in major depression as revealed by resting-state functional magnetic resonance imaging. 中华医学杂志:英文版. 369–373. 57 indexed citations
18.
Cao, Xiaohua, Qingjiu Cao, Xiangyu Long, et al.. (2009). Abnormal resting-state functional connectivity patterns of the putamen in medication-naïve children with attention deficit hyperactivity disorder. Brain Research. 1303. 195–206. 167 indexed citations
19.
Zang, Yu‐Feng, et al.. (2006). Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain and Development. 29(2). 83–91. 2101 indexed citations breakdown →
20.
Zang, Yu‐Feng, Tianzi Jiang, Yingli Lu, Yong He, & Lixia Tian. (2004). Regional homogeneity approach to fMRI data analysis. NeuroImage. 22(1). 394–400. 2045 indexed citations breakdown →

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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