Quanying Liu

3.9k total citations · 1 hit paper
124 papers, 2.5k citations indexed

About

Quanying Liu is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Quanying Liu has authored 124 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 18 papers in Biomedical Engineering and 13 papers in Molecular Biology. Recurrent topics in Quanying Liu's work include EEG and Brain-Computer Interfaces (37 papers), Neural dynamics and brain function (27 papers) and Functional Brain Connectivity Studies (27 papers). Quanying Liu is often cited by papers focused on EEG and Brain-Computer Interfaces (37 papers), Neural dynamics and brain function (27 papers) and Functional Brain Connectivity Studies (27 papers). Quanying Liu collaborates with scholars based in China, United Kingdom and United States. Quanying Liu's co-authors include Dante Mantini, Nicole Wenderoth, Richard J. Bushby, Ahmed H. Zewail, Jennifer L. Herek, Søren Møller Pedersen, N. Boden, Camillo Porcaro, Jie Liang and Yujiang Fan and has published in prestigious journals such as Nature, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Quanying Liu

117 papers receiving 2.5k citations

Hit Papers

Injectable Microgels with Hybrid Exosomes of Chondrocyte‐... 2024 2026 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Injectable Microgels with Hybrid Exosomes of Chondrocyte‐Targeted FGF18 Gene‐Editing and Self‐Renewable Lubrication for Osteoarthritis Therapy
    2024 96 citations Quanying Liu et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quanying Liu China 26 923 625 307 260 251 124 2.5k
Tetsuya Matsuda Japan 30 781 0.8× 513 0.8× 518 1.7× 93 0.4× 405 1.6× 211 3.6k
James B. Kobler United States 33 261 0.3× 627 1.0× 201 0.7× 86 0.3× 269 1.1× 104 3.4k
Hyunwook Park South Korea 24 416 0.5× 330 0.5× 102 0.3× 196 0.8× 221 0.9× 150 2.3k
Cheng Ouyang China 24 153 0.2× 478 0.8× 211 0.7× 221 0.8× 375 1.5× 59 1.5k
Matthias Schulz Germany 29 698 0.8× 209 0.3× 504 1.6× 54 0.2× 215 0.9× 116 2.8k
Eun‐Hee Kang South Korea 22 407 0.4× 415 0.7× 124 0.4× 65 0.3× 492 2.0× 61 2.3k
Hirokazu Takahashi Japan 24 1.1k 1.2× 395 0.6× 146 0.5× 83 0.3× 376 1.5× 175 2.5k
Huanan Zhang United States 24 440 0.5× 992 1.6× 300 1.0× 128 0.5× 301 1.2× 65 2.4k
Duc Nguyen United States 21 372 0.4× 214 0.3× 208 0.7× 84 0.3× 353 1.4× 53 1.8k
Jun Nakanishi Japan 34 172 0.2× 1.7k 2.7× 596 1.9× 183 0.7× 520 2.1× 123 3.7k

Countries citing papers authored by Quanying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Quanying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Quanying Liu. A scholar is included among the top collaborators of Quanying 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 Quanying Liu. Quanying 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, Haoming, Kuang Hu, Feng‐Peng Wang, et al.. (2025). An intracranial dissection of human escape circuits. Nature Communications. 16(1). 5520–5520.
2.
Xia, J., Hongjie Zhang, Tingting Mei, et al.. (2025). Ephaptic Coupling in Ultralow‐Power Ion‐Gel Nanofiber Artificial Synapses for Enhanced Working Memory. Advanced Materials. 37(16). e2419013–e2419013. 9 indexed citations
3.
Han, Yaning, et al.. (2025). Revealing the Body Language of Social Interaction in Free-Moving Mice Using BL-BERT. Tsinghua Science & Technology. 31(3). 1487–1500.
4.
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Luo, Huichun, Mo Wang, Yue Wang, et al.. (2025). Frequency-specific and state-dependent neural responses to brain stimulation. Molecular Psychiatry. 30(7). 2880–2890. 5 indexed citations
6.
Li, Xue, Qian Yang, Zhichao Liang, et al.. (2025). Prefrontal FGF1 Signaling is Required for Accumbal Deep Brain Stimulation Treatment of Addiction. Advanced Science. 12(16). e2413370–e2413370. 2 indexed citations
7.
Shen, Xinke, et al.. (2025). Dynamic-Attention-Based EEG State Transition Modeling for Emotion Recognition. IEEE Transactions on Affective Computing. 16(4). 3552–3568. 1 indexed citations
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Samogin, Jessica, Mingqi Zhao, Marco Marino, et al.. (2024). Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data. Computers in Biology and Medicine. 178. 108704–108704. 2 indexed citations
11.
Liu, Quanying, et al.. (2024). Effect of remote ischemic preconditioning on cerebral circulation time in severe carotid artery stenosis: Results from the RIC-CCT trial. Cell Reports Medicine. 5(11). 101796–101796. 1 indexed citations
12.
Shen, Xinke, et al.. (2024). Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience. NeuroImage. 301. 120890–120890. 4 indexed citations
13.
Zhang, Haoming, Kunkun Zhang, Ziqi Zhang, et al.. (2023). Social conformity is associated with inter‐trial electroencephalogram variability. Annals of the New York Academy of Sciences. 1523(1). 104–118. 7 indexed citations
14.
Jin, Tian, Weizhi Qi, Xiao Liang, et al.. (2023). Photoacoustic Imaging of Brain Functions: Wide Field‐of‐View Functional Imaging with High Spatiotemporal Resolution. Laser & Photonics Review. 17(4). 1 indexed citations
15.
Liu, Quanying, et al.. (2023). MRI‐based risk stratification for recurrent ischemic stroke in embolic stroke of undetermined source. Annals of Clinical and Translational Neurology. 10(9). 1533–1543. 2 indexed citations
16.
Huang, Wei‐Kai, et al.. (2023). Network Analysis on Cortical Morphometry in First-Episode Schizophrenia. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 2228–2240. 2 indexed citations
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Ma, Zhengming, et al.. (2022). HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing. 512. 190–202. 13 indexed citations
19.
Marino, Marco, Quanying Liu, Camillo Porcaro, et al.. (2018). Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI. Scientific Reports. 8(1). 8902–8902. 39 indexed citations
20.
Hu, Bin, Quanying Liu, Qinglin Zhao, Yanbing Qi, & Hong Peng. (2011). A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment. Lanzhou University Institutional Repository. 436–441. 11 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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