Song Xue

718 total citations
27 papers, 562 citations indexed

About

Song Xue is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Song Xue has authored 27 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 3 papers in Clinical Psychology. Recurrent topics in Song Xue's work include Functional Brain Connectivity Studies (13 papers), Neural and Behavioral Psychology Studies (13 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Song Xue is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Neural and Behavioral Psychology Studies (13 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Song Xue collaborates with scholars based in China and United States. Song Xue's co-authors include Feng Kong, Jiang Qiu, Jia Liu, Xu Wang, Kangcheng Wang, Dongtao Wei, Yimo Shen, Wenfu Li, Yiying Song and Siyuan Hu and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience.

In The Last Decade

Song Xue

22 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Song Xue China	14	269	220	194	140	42	27	562
Glenn Hitchman China	16	389 1.4×	231 1.1×	87 0.4×	112 0.8×	37 0.9×	34	577
Laura M. Smart United States	7	258 1.0×	313 1.4×	353 1.8×	161 1.1×	29 0.7×	9	659
Ethan M. McCormick United States	17	260 1.0×	194 0.9×	202 1.0×	138 1.0×	12 0.3×	42	607
Elisabeth Schreuders Netherlands	9	220 0.8×	162 0.7×	171 0.9×	154 1.1×	21 0.5×	13	517
Mingyue Xiao China	13	134 0.5×	122 0.6×	166 0.9×	119 0.8×	22 0.5×	46	374
Xiyao Xie Germany	11	242 0.9×	252 1.1×	340 1.8×	230 1.6×	33 0.8×	13	788
Kesong Hu United States	12	161 0.6×	118 0.5×	115 0.6×	80 0.6×	17 0.4×	35	414
Sarah M. Tashjian United States	13	207 0.8×	179 0.8×	114 0.6×	98 0.7×	17 0.4×	35	450
Karen E. Lythe United Kingdom	10	196 0.7×	208 0.9×	97 0.5×	91 0.7×	16 0.4×	12	411
Marcela C. Otero United States	14	323 1.2×	344 1.6×	179 0.9×	191 1.4×	15 0.4×	28	658

Countries citing papers authored by Song Xue

Since Specialization

Citations

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

Fields of papers citing papers by Song Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Song Xue. A scholar is included among the top collaborators of Song Xue 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 Song Xue. Song Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Jian, et al.. (2025). Temporal dynamics and task-dependent neural mechanisms in facial symmetry processing. Experimental Brain Research. 243(5). 106–106.

Xue, Song, et al.. (2024). Face emojis vs. Non-face emojis: Exploring neural mechanisms in text processing. Biological Psychology. 193. 108898–108898.

Xue, Song, et al.. (2024). The neural mechanisms of the impact of emoji spatial metaphors on emotional perception. Neuroscience. 560. 191–197.

Xue, Song, et al.. (2023). Neural correlates of social interaction anxiety and their relation to emotional intelligence: A resting-state fMRI study. Neuroscience Letters. 818. 137475–137475. 4 indexed citations

Liu, Xin, et al.. (2023). An amygdala-centered effective connectivity network in trait anxiety. Brain Imaging and Behavior. 18(2). 324–330.

Xue, Song, et al.. (2021). The Effect of Short-Term Mindfulness Training on the Emotional State of College Students with Different Levels of Mindfulness: Evidence from Neurophysiological Signals. Open Journal of Social Sciences. 9(5). 570–580. 3 indexed citations

Xue, Song, et al.. (2016). Frequency-dependent alterations in regional homogeneity in major depression. Behavioural Brain Research. 306. 13–19. 37 indexed citations

Shi, Liang, et al.. (2016). The negative priming effect in cognitive conflict processing. Neuroscience Letters. 628. 35–39. 21 indexed citations

Xue, Song, et al.. (2016). The dissociable neural dynamics of cognitive conflict and emotional conflict control: An ERP study. Neuroscience Letters. 619. 149–154. 26 indexed citations

10.

Xue, Song, et al.. (2016). Amplitude of low-frequency oscillations associated with emotional conflict control. Experimental Brain Research. 234(9). 2561–2566. 5 indexed citations

11.

Kong, Feng, Song Xue, & Xu Wang. (2016). Amplitude of low frequency fluctuations during resting state predicts social well-being. Biological Psychology. 118. 161–168. 26 indexed citations

12.

Shi, Liang, et al.. (2016). Different Stages, Different Signals: The Modulating Effect of Cognitive Conflict on Subsequent Processing. PLoS ONE. 11(9). e0163263–e0163263. 5 indexed citations

13.

Wei, Jia, Chunyu Zhang, Yadan Li, Song Xue, & Jinfu Zhang. (2015). Psychometric Properties of the Chinese Version of the Fear of Negative Evaluation Scale-Brief (BFNE) and the BFNE-Straightforward for Middle School Students. PLoS ONE. 10(3). e0115948–e0115948. 18 indexed citations

14.

Kong, Feng, Zhencai Chen, Song Xue, Xu Wang, & Jia Liu. (2015). Mother's but not father's education predicts general fluid intelligence in emerging adulthood: Behavioral and neuroanatomical evidence. Human Brain Mapping. 36(11). 4582–4591. 35 indexed citations

15.

Wei, Dongtao, et al.. (2014). Regional gray matter density associated with emotional conflict resolution: Evidence from voxel-based morphometry. Neuroscience. 275. 500–507. 16 indexed citations

16.

Xue, Song, et al.. (2014). Electrophysiological correlates related to the conflict adaptation effect in an emotional conflict task. Neuroscience Letters. 584. 219–223. 17 indexed citations

17.

Wang, Shanshan, Dongtao Wei, Wenfu Li, et al.. (2014). A voxel-based morphometry study of regional gray and white matter correlate of self-disclosure. Social Neuroscience. 9(5). 495–503. 10 indexed citations

18.

Kong, Feng, Siyuan Hu, Song Xue, Yiying Song, & Jia Liu. (2014). Extraversion mediates the relationship between structural variations in the dorsolateral prefrontal cortex and social well-being. NeuroImage. 105. 269–275. 47 indexed citations

19.

Wei, Dongtao, et al.. (2014). Neuroticism and extraversion mediate the association between loneliness and the dorsolateral prefrontal cortex. Experimental Brain Research. 233(1). 157–164. 56 indexed citations

20.

Shen, Yimo, Song Xue, Kangcheng Wang, & Jiang Qiu. (2013). Neural time course of emotional conflict control: An ERP study. Neuroscience Letters. 541. 34–38. 36 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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