Feng Liu

12.1k total citations
300 papers, 8.8k citations indexed

About

Feng Liu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Feng Liu has authored 300 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Cognitive Neuroscience, 82 papers in Radiology, Nuclear Medicine and Imaging and 72 papers in Experimental and Cognitive Psychology. Recurrent topics in Feng Liu's work include Functional Brain Connectivity Studies (169 papers), Advanced Neuroimaging Techniques and Applications (67 papers) and Mental Health Research Topics (52 papers). Feng Liu is often cited by papers focused on Functional Brain Connectivity Studies (169 papers), Advanced Neuroimaging Techniques and Applications (67 papers) and Mental Health Research Topics (52 papers). Feng Liu collaborates with scholars based in China, United States and United Kingdom. Feng Liu's co-authors include Wenbin Guo, Huafu Chen, Jingping Zhao, Changqing Xiao, Jindong Chen, Wenqin Wang, Jingping Zhao, Yifeng Wang, Chunshui Yu and Steven M. Paul and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Feng Liu

282 papers receiving 8.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Liu China 49 5.1k 2.5k 1.6k 1.4k 1.4k 300 8.8k
Paul J. Laurienti United States 47 7.9k 1.5× 2.0k 0.8× 3.0k 1.9× 1.1k 0.7× 1.7k 1.2× 194 12.6k
Zhijun Zhang China 51 4.0k 0.8× 1.7k 0.7× 823 0.5× 1.4k 1.0× 2.0k 1.4× 357 10.2k
Yonggui Yuan China 41 2.9k 0.6× 1.3k 0.5× 824 0.5× 892 0.6× 1.3k 0.9× 292 6.4k
Jonathan H. Burdette United States 44 6.2k 1.2× 2.7k 1.1× 2.2k 1.3× 964 0.7× 1.7k 1.1× 114 11.4k
Arun L.W. Bokde Ireland 41 3.9k 0.8× 1.9k 0.8× 641 0.4× 1.8k 1.3× 2.2k 1.5× 107 7.5k
Yong Liu China 51 6.4k 1.2× 3.3k 1.3× 1.4k 0.9× 628 0.4× 1.5k 1.0× 323 11.0k
Wen Qin China 49 5.1k 1.0× 3.2k 1.3× 1.1k 0.7× 541 0.4× 1.0k 0.7× 281 9.2k
Dimitri Papathanassiou France 15 9.8k 1.9× 3.9k 1.6× 2.0k 1.3× 925 0.6× 2.4k 1.6× 48 14.0k
Denise Head United States 41 6.8k 1.3× 2.6k 1.0× 1.3k 0.8× 2.4k 1.6× 3.8k 2.6× 75 11.6k
Linda K. McEvoy United States 54 5.2k 1.0× 1.4k 0.5× 1.1k 0.7× 2.4k 1.6× 3.3k 2.3× 178 10.3k

Countries citing papers authored by Feng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Liu. A scholar is included among the top collaborators of Feng Liu 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 Feng Liu. Feng Liu 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.
Zhang, Yijing, He Wang, Wei Wang, et al.. (2025). From risk to chronicity: genetic and neuroimaging insights into the evolving patterns of spontaneous brain activity in schizophrenia. Psychological Medicine. 55. e306–e306. 1 indexed citations
2.
Zhang, Yujie, Shaoying Wang, Wanwan Zhang, et al.. (2025). Hemispheric Asymmetry in the Genetic Overlap between Schizophrenia and White Matter Microstructure. Cyborg and Bionic Systems. 7. 451–451. 2 indexed citations
3.
4.
Wang, Wenqin, Shaoying Wang, Jinglei Xu, et al.. (2024). Unraveling the causal relationships between depression and brain structural imaging phenotypes: A bidirectional Mendelian Randomization study. Brain Research. 1840. 149049–149049. 4 indexed citations
5.
Peng, Yanmin, Chao Chai, Kaizhong Xue, et al.. (2024). Unraveling multi‐scale neuroimaging biomarkers and molecular foundations for schizophrenia: A combined multivariate pattern analysis and transcriptome‐neuroimaging association study. CNS Neuroscience & Therapeutics. 30(8). e14906–e14906. 2 indexed citations
6.
Wang, Lu, et al.. (2024). Investigating the shared genetic architecture between depression and subcortical volumes. Nature Communications. 15(1). 7647–7647. 14 indexed citations
7.
Shan, Xiaoxiao, Haohao Yan, Huabing Li, et al.. (2023). Abnormal causal connectivity of prefrontal-limbic circuit by structural deficits in drug-naive anxiety disorders. Journal of Psychiatric Research. 163. 14–23. 2 indexed citations
8.
Yang, Sha, Jie Luo, Feng Liu, et al.. (2023). A Smart Nano‐Theranostic Platform Based on Dual‐microRNAs Guided Self‐Feedback Tetrahedral Entropy‐Driven DNA Circuit. Advanced Science. 10(19). e2301814–e2301814. 38 indexed citations
9.
Guo, Lining, Minghui Zhang, Qiang Xu, et al.. (2023). Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia. SHILAP Revista de lepidopterología. 9(1). 87–87. 9 indexed citations
10.
Zhao, Jin, Yan Zhang, Feng Liu, et al.. (2022). Abnormal global-brain functional connectivity and its relationship with cognitive deficits in drug-naive first-episode adolescent-onset schizophrenia. Brain Imaging and Behavior. 16(3). 1303–1313. 12 indexed citations
11.
Huang, Chuan, Jianlin Hu, Feng Liu, et al.. (2021). Clinical benefit for cryopreservation of single human spermatozoa for ICSI: A systematic review and meta‐analysis. Andrology. 10(1). 82–91. 6 indexed citations
12.
Yang, Qing‐Qing, Xinxin Zhang, Yingchao Song, et al.. (2021). Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths. Human Brain Mapping. 42(8). 2374–2392. 4 indexed citations
13.
Zhu, Dan, Tengfei Yuan, Qiang Xu, et al.. (2021). Correlation between cortical gene expression and resting‐state functional network centrality in healthy young adults. Human Brain Mapping. 42(7). 2236–2249. 36 indexed citations
14.
Xu, Qiang, Feng Liu, Wen Qin, Tianzi Jiang, & Chunshui Yu. (2020). Multiscale neurobiological correlates of human neuroticism. Human Brain Mapping. 41(16). 4730–4743. 11 indexed citations
15.
16.
Wang, Junping, Yan Zhang, Dan Zhu, et al.. (2019). A common variant in OXTR rs53576 impacts topological patterns of brain functional networks. European Child & Adolescent Psychiatry. 29(7). 993–1002. 11 indexed citations
17.
Guo, Yanfei, Wenjun Ma, Qingjun Zhang, et al.. (2018). [Incidence of fall related injury in people aged 50 and above and risk factors in 8 provinces in China: a cross-sectional study].. PubMed. 39(3). 258–263. 2 indexed citations
18.
Sun, Yingyun, Feng Liu, & Shengwei Mei. (2010). Polynomial approximation of a nonlinear system and its application to power system (II):Applications. Dianji yu kongzhi xuebao. 14(9). 7–12. 2 indexed citations
19.
Liu, Feng. (2008). A Case Study on Application of Sandplay Therapy in Treatment of Depressive Disorder. Zhongguo teshu jiaoyu. 1 indexed citations
20.
Liu, Feng. (2007). Analysis on the Steering of Tracked Vehicles. Acta Armamentarii. 5 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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