Yuelu Liu

1.3k total citations
19 papers, 874 citations indexed

About

Yuelu Liu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Yuelu Liu has authored 19 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Yuelu Liu's work include Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (9 papers) and Neural and Behavioral Psychology Studies (8 papers). Yuelu Liu is often cited by papers focused on Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (9 papers) and Neural and Behavioral Psychology Studies (8 papers). Yuelu Liu collaborates with scholars based in United States, China and Israel. Yuelu Liu's co-authors include Mingzhou Ding, Haiqing Huang, Andreas Keil, Menton M. Deweese, George R. Mangun, Jesse J. Bengson, Jue Mo, Scott Siegel, Xiangfei Hong and Parvez Ahammad and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and International Journal of Molecular Sciences.

In The Last Decade

Yuelu Liu

19 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuelu Liu United States 14 721 221 96 79 52 19 874
Alexander N. Savostyanov Russia 18 789 1.1× 306 1.4× 116 1.2× 101 1.3× 50 1.0× 90 1.0k
Chrysa Lithari Greece 14 509 0.7× 276 1.2× 106 1.1× 48 0.6× 36 0.7× 21 775
Vijay Nangia United States 7 582 0.8× 209 0.9× 112 1.2× 61 0.8× 52 1.0× 12 900
Ilana Podlipsky Israel 13 690 1.0× 200 0.9× 82 0.9× 54 0.7× 47 0.9× 20 833
David W. Frank United States 13 562 0.8× 323 1.5× 113 1.2× 167 2.1× 88 1.7× 16 817
Marianne C. Reddan United States 11 359 0.5× 161 0.7× 120 1.3× 119 1.5× 85 1.6× 17 631
Roland Nigbur Germany 10 1.0k 1.4× 212 1.0× 124 1.3× 67 0.8× 61 1.2× 10 1.1k
Arielle S. Keller United States 10 357 0.5× 211 1.0× 57 0.6× 84 1.1× 65 1.3× 29 592
Stephanie Schmidt Germany 15 509 0.7× 189 0.9× 133 1.4× 112 1.4× 124 2.4× 31 723
Joey Tang Hong Kong 13 468 0.6× 217 1.0× 96 1.0× 131 1.7× 104 2.0× 24 1.1k

Countries citing papers authored by Yuelu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuelu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuelu Liu

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

All Works

19 of 19 papers shown
1.
Liu, Yuelu, et al.. (2021). Decoding Neural Representations of Affective Scenes in Retinotopic Visual Cortex. Cerebral Cortex. 31(6). 3047–3063. 22 indexed citations
2.
Liu, Yuelu, et al.. (2021). The Microstructure of Attentional Control in the Dorsal Attention Network. Journal of Cognitive Neuroscience. 33(6). 965–983. 22 indexed citations
3.
Liu, Yuelu, et al.. (2020). Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex. Social Cognitive and Affective Neuroscience. 15(9). 950–964. 13 indexed citations
4.
Liu, Yuelu, et al.. (2019). Machine Learning Models Identify Multimodal Measurements Highly Predictive of Transdiagnostic Symptom Severity for Mood, Anhedonia, and Anxiety. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(1). 56–67. 30 indexed citations
5.
Liu, Yuelu, Roee Admon, Emily L. Belleau, et al.. (2019). Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(2). 163–172. 19 indexed citations
6.
Bengson, Jesse J., et al.. (2019). Gating by inhibition during top-down control of willed attention. Cognitive Neuroscience. 11(1-2). 60–70. 5 indexed citations
7.
Liu, Yuelu, et al.. (2018). Amygdala Adaptation and Temporal Dynamics of the Salience Network in Conditioned Fear: A Single-Trial fMRI Study. eNeuro. 5(1). ENEURO.0445–17.2018. 24 indexed citations
8.
Siegel, Scott, et al.. (2018). Theta Oscillations Index Frontal Decision-Making and Mediate Reciprocal Frontal–Parietal Interactions in Willed Attention. Cerebral Cortex. 29(7). 2832–2843. 50 indexed citations
9.
Liu, Yuelu, Xiangfei Hong, Jesse J. Bengson, et al.. (2017). Deciding where to attend: Large-scale network mechanisms underlying attention and intention revealed by graph-theoretic analysis. NeuroImage. 157. 45–60. 16 indexed citations
10.
Hong, Xiangfei, Yuelu Liu, Junfeng Sun, & Shanbao Tong. (2016). Age-Related Differences in the Modulation of Small-World Brain Networks during a Go/NoGo Task. Frontiers in Aging Neuroscience. 8. 100–100. 22 indexed citations
11.
Liu, Yuelu, et al.. (2016). Amplitude of Sensorimotor Mu Rhythm Is Correlated with BOLD from Multiple Brain Regions: A Simultaneous EEG-fMRI Study. Frontiers in Human Neuroscience. 10. 364–364. 55 indexed citations
12.
Yu, Juanjuan, Jinzheng Zhang, Qi Zhao, et al.. (2016). Proteomic Analysis Reveals the Leaf Color Regulation Mechanism in Chimera Hosta “Gold Standard” Leaves. International Journal of Molecular Sciences. 17(3). 346–346. 8 indexed citations
13.
Kang, Daesung, Yuelu Liu, Vladimir Miskovic, Andreas Keil, & Mingzhou Ding. (2016). Large‐scale functional brain connectivity during emotional engagement as revealed by beta‐series correlation analysis. Psychophysiology. 53(11). 1627–1638. 9 indexed citations
14.
Liu, Yuelu, Jesse J. Bengson, Haiqing Huang, George R. Mangun, & Mingzhou Ding. (2014). Top-down Modulation of Neural Activity in Anticipatory Visual Attention: Control Mechanisms Revealed by Simultaneous EEG-fMRI. Cerebral Cortex. 26(2). bhu204–bhu204. 125 indexed citations
15.
Liu, Yuelu, Haiqing Huang, Menton M. Deweese, Andreas Keil, & Mingzhou Ding. (2012). Neural Substrate of the Late Positive Potential in Emotional Processing. Journal of Neuroscience. 32(42). 14563–14572. 319 indexed citations
16.
Mo, Jue, Yuelu Liu, Haiqing Huang, & Mingzhou Ding. (2012). Coupling between visual alpha oscillations and default mode activity. NeuroImage. 68. 112–118. 114 indexed citations
17.
Zhang, Jinzheng, et al.. (2011). Effects of excessive application of nitrogen fertilizer on leaf color,key enzymes activities of nitrogen metabolism and chloroplast ultrastructure of a chimera Hosta 'Gold Standard'. Acta Pratacultural Science. 20(5). 93–101. 1 indexed citations
18.
Liu, Yuelu, Andreas Keil, & Mingzhou Ding. (2011). Effects of emotional conditioning on early visual processing: Temporal dynamics revealed by ERP single‐trial analysis. Human Brain Mapping. 33(4). 909–919. 16 indexed citations
19.
Liu, Yuelu, et al.. (2007). Image Restoration Using Gaussian Particle Filters. 391–394. 4 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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