Fei Xin

1.0k total citations
23 papers, 567 citations indexed

About

Fei Xin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Fei Xin has authored 23 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 13 papers in Experimental and Cognitive Psychology and 5 papers in Social Psychology. Recurrent topics in Fei Xin's work include Functional Brain Connectivity Studies (11 papers), Neuroendocrine regulation and behavior (5 papers) and Neural and Behavioral Psychology Studies (5 papers). Fei Xin is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neuroendocrine regulation and behavior (5 papers) and Neural and Behavioral Psychology Studies (5 papers). Fei Xin collaborates with scholars based in China, Germany and United States. Fei Xin's co-authors include Xu Lei, Benjamin Becker, Keith M. Kendrick, Debo Dong, Mingjun Duan, Dezhong Yao, Cheng Luo, Yulin Wang, Feng Zhou and Xinqi Zhou and has published in prestigious journals such as Biological Psychiatry, Cerebral Cortex and Psychological Medicine.

In The Last Decade

Fei Xin

22 papers receiving 560 citations

Peers

Fei Xin
Fei Xin
Citations per year, relative to Fei Xin Fei Xin (= 1×) peers Johann Kruschwitz

Countries citing papers authored by Fei Xin

Since Specialization
Citations

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

Fields of papers citing papers by Fei Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Xin. A scholar is included among the top collaborators of Fei Xin 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 Fei Xin. Fei Xin 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.
Zhong, Yi, et al.. (2025). N200 and late components reveal text-emoji congruency effect in affective theory of mind. Cognitive Affective & Behavioral Neuroscience. 25(3). 783–798. 1 indexed citations
2.
Yi, Wei, et al.. (2025). An inverted U-shaped relationship between chronic stress and the motivation to expend effort for reward. Neurobiology of Stress. 36. 100724–100724. 2 indexed citations
3.
Huang, Zhixin, Jianhuang Lai, & Fei Xin. (2025). Experimental study of factors influencing observers’ perceptions and reactions to sexual harassment in Chinese university students. Frontiers in Psychology. 16. 1525006–1525006.
4.
Chen, Yuanshu, Congcong Liu, Fei Xin, et al.. (2023). Opposing and emotion-specific associations between frontal activation with depression and anxiety symptoms during facial emotion processing in generalized anxiety and depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 123. 110716–110716. 10 indexed citations
5.
Zhou, Xinqi, et al.. (2022). Age-dependent changes in the dynamic functional organization of the brain at rest: a cross-cultural replication approach. Cerebral Cortex. 33(10). 6394–6406. 5 indexed citations
6.
Xu, Xiaolei, Fei Xin, Congcong Liu, et al.. (2022). Disorder- and cognitive demand-specific neurofunctional alterations during social emotional working memory in generalized anxiety disorder and major depressive disorder. Journal of Affective Disorders. 308. 98–105. 11 indexed citations
7.
Gao, Zhao, Xiaole Ma, Xinqi Zhou, et al.. (2022). Oxytocin Reduces the Attractiveness of Silver-Tongued Men for Women During Mid-Cycle. Frontiers in Neuroscience. 16. 760695–760695. 1 indexed citations
8.
Liu, Congcong, Jing Dai, Yuanshu Chen, et al.. (2021). Disorder- and emotional context-specific neurofunctional alterations during inhibitory control in generalized anxiety and major depressive disorder. NeuroImage Clinical. 30. 102661–102661. 22 indexed citations
9.
Dong, Debo, Dezhong Yao, Yulin Wang, et al.. (2021). Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia. Psychological Medicine. 53(3). 771–784. 80 indexed citations
10.
Yang, Xi, Weihua Zhao, Fei Xin, et al.. (2021). Secondary rewards acquire enhanced incentive motivation via increasing anticipatory activity of the lateral orbitofrontal cortex. Brain Structure and Function. 226(7). 2339–2355. 9 indexed citations
11.
Xu, Xiaolei, Jing Dai, Yuanshu Chen, et al.. (2020). Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate major depressive from generalized anxiety disorder. Neuropsychopharmacology. 46(4). 791–798. 34 indexed citations
12.
Xin, Fei, Xinqi Zhou, Debo Dong, et al.. (2020). Oxytocin Differentially Modulates Amygdala Responses during Top‐Down and Bottom‐Up Aversive Anticipation. Advanced Science. 7(16). 2001077–2001077. 24 indexed citations
13.
Li, Jia‐Lin, Xi Yang, Feng Zhou, et al.. (2020). Modafinil enhances cognitive, but not emotional conflict processing via enhanced inferior frontal gyrus activation and its communication with the dorsomedial prefrontal cortex. Neuropsychopharmacology. 45(6). 1026–1033. 9 indexed citations
14.
Han, Shaoqiang, Benjamin Becker, Xujun Duan, et al.. (2019). Distinct striatum pathways connected to salience network predict symptoms improvement and resilient functioning in schizophrenia following risperidone monotherapy. Schizophrenia Research. 215. 89–96. 23 indexed citations
15.
Zhou, Xinqi, Kaeli Zimmermann, Fei Xin, et al.. (2019). Cue Reactivity in the Ventral Striatum Characterizes Heavy Cannabis Use, Whereas Reactivity in the Dorsal Striatum Mediates Dependent Use. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(8). 751–762. 50 indexed citations
16.
Zhou, Feng, Yayuan Geng, Fei Xin, et al.. (2019). Human Extinction Learning Is Accelerated by an Angiotensin Antagonist via Ventromedial Prefrontal Cortex and Its Connections With Basolateral Amygdala. Biological Psychiatry. 86(12). 910–920. 37 indexed citations
17.
Xin, Fei, Feng Zhou, Xinqi Zhou, et al.. (2018). Oxytocin Modulates the Intrinsic Dynamics Between Attention-Related Large-Scale Networks. Cerebral Cortex. 31(3). 1848–1860. 27 indexed citations
18.
Zhou, Feng, Kaeli Zimmermann, Fei Xin, et al.. (2018). Shifted balance of dorsal versus ventral striatal communication with frontal reward and regulatory regions in cannabis‐dependent males. Human Brain Mapping. 39(12). 5062–5073. 49 indexed citations
19.
Zhao, Weihua, Xiaole Ma, Jiao Le, et al.. (2017). Oxytocin biases men to be more or less tolerant of others’ dislike dependent upon their relationship status. Psychoneuroendocrinology. 88. 167–172. 8 indexed citations
20.
Li, Shuting, Shujun Song, & Fei Xin. (2011). Spatial characteristics of air pollution in the main city area of Chengdu, China. 1–4. 6 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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