Yuanning Li

969 total citations
32 papers, 545 citations indexed

About

Yuanning Li is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yuanning Li has authored 32 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Yuanning Li's work include EEG and Brain-Computer Interfaces (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Neural dynamics and brain function (6 papers). Yuanning Li is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Neural dynamics and brain function (6 papers). Yuanning Li collaborates with scholars based in China, United States and Australia. Yuanning Li's co-authors include R. Mark Richardson, Avniel Singh Ghuman, Yonghong Tian, Ling‐Yu Duan, Wen Gao, Jingjing Yang, Junfeng Lu, Julie A. Fiez, Jinsong Wu and Elizabeth A. Hirshorn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yuanning Li

26 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanning Li China	11	322	157	96	70	58	32	545
Ozan Özdenizci United States	11	269 0.8×	164 1.0×	76 0.8×	56 0.8×	17 0.3×	26	547
Michel Vidal-Naquet Israel	4	262 0.8×	281 1.8×	80 0.8×	37 0.5×	20 0.3×	6	488
Anne Guérin-Dugué France	15	300 0.9×	345 2.2×	92 1.0×	52 0.7×	61 1.1×	42	689
S. Ghebreab Netherlands	13	360 1.1×	279 1.8×	38 0.4×	36 0.5×	38 0.7×	40	628
Yalda Mohsenzadeh Canada	13	263 0.8×	122 0.8×	103 1.1×	36 0.5×	12 0.2×	40	473
Yusuke Morito Japan	7	573 1.8×	80 0.5×	52 0.5×	57 0.8×	33 0.6×	10	714
Kazumichi Matsumiya Japan	14	469 1.5×	140 0.9×	40 0.4×	95 1.4×	17 0.3×	70	634
Pouya Bashivan United States	8	509 1.6×	135 0.9×	112 1.2×	39 0.6×	13 0.2×	23	657
Gennady Erlikhman United States	10	293 0.9×	147 0.9×	75 0.8×	29 0.4×	19 0.3×	32	494
Nicholas J. Butko United States	11	110 0.3×	217 1.4×	90 0.9×	80 1.1×	23 0.4×	18	354

Countries citing papers authored by Yuanning Li

Since Specialization

Citations

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

Fields of papers citing papers by Yuanning Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanning Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanning Li. A scholar is included among the top collaborators of Yuanning Li 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 Yuanning Li. Yuanning Li 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, Zhenjie, et al.. (2025). Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences. STAR Protocols. 6(1). 103650–103650. 1 indexed citations

Li, Jiawei, et al.. (2025). High-fidelity neural speech reconstruction through an efficient acoustic-linguistic dual-pathway framework. eLife. 14.

Wang, Zhenjie, Yan Liu, Xiaotao Hao, et al.. (2024). A brain-to-text framework for decoding natural tonal sentences. Cell Reports. 43(11). 114924–114924. 6 indexed citations

Li, Shurui, Yuanning Li, & Ru‐Yuan Zhang. (2024). Reconstructing continuous language from brain signals measured by fMRI based brain‐computer interface. SHILAP Revista de lepidopterología. 2(3).

Li, Jiawei, et al.. (2024). Neural2speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction. 2200–2204. 1 indexed citations

Li, Yuanning, et al.. (2024). Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks. Science Bulletin. 69(11). 1738–1747. 3 indexed citations

Yang, Lingxiao, Zhen Hui, Le Li, et al.. (2023). Functional diversity of visual cortex improves constraint-free natural image reconstruction from human brain activity. Fundamental Research. 5(6). 2639–2648. 2 indexed citations

Lu, Junfeng, Yuanning Li, Yan Liu, et al.. (2023). Neural control of lexical tone production in human laryngeal motor cortex. Nature Communications. 14(1). 6917–6917. 10 indexed citations

Li, Yuanning, Gopala K. Anumanchipalli, Abdelrahman Mohamed, et al.. (2023). Dissecting neural computations in the human auditory pathway using deep neural networks for speech. Nature Neuroscience. 26(12). 2213–2225. 41 indexed citations

10.

Li, Yuanning, et al.. (2023). Latent neural dynamics encode temporal context in speech. Hearing Research. 437. 108838–108838. 2 indexed citations

11.

Li, Yuanning, Claire Tang, Junfeng Lu, Jinsong Wu, & Edward F. Chang. (2021). Human cortical encoding of pitch in tonal and non-tonal languages. Nature Communications. 12(1). 1161–1161. 40 indexed citations

12.

Li, Yuanning, et al.. (2020). Endogenous activity modulates stimulus and circuit-specific neural tuning and predicts perceptual behavior. Nature Communications. 11(1). 4014–4014. 15 indexed citations

13.

Li, Yuanning, R. Mark Richardson, & Avniel Singh Ghuman. (2018). Posterior Fusiform and Midfusiform Contribute to Distinct Stages of Facial Expression Processing. Cerebral Cortex. 29(7). 3209–3219. 16 indexed citations

14.

Li, Yuanning, R. Mark Richardson, & Avniel Singh Ghuman. (2017). Multi-Connection Pattern Analysis: Decoding the representational content of neural communication. NeuroImage. 162. 32–44. 9 indexed citations

15.

Aminoff, Elissa, et al.. (2016). Associative hallucinations result from stimulating left ventromedial temporal cortex. Cortex. 83. 139–144. 7 indexed citations

16.

Ghuman, Avniel Singh, Nicolas M. Brunet, Yuanning Li, et al.. (2014). Dynamic encoding of face information in the human fusiform gyrus. Nature Communications. 5(1). 5672–5672. 115 indexed citations

17.

Li, Yuanning, Luntian Mou, Menglin Jiang, et al.. (2010). PKU-IDM @ TRECVid 2010: Copy Detection with Visual-Audio Feature Fusion and Sequential Pyramid Matching. 8 indexed citations

18.

Li, Yuanning, Yonghong Tian, Jingjing Yang, Ling‐Yu Duan, & Wen Gao. (2010). Video retargeting with multi-scale trajectory optimization. 45–54. 9 indexed citations

19.

Yang, Jingjing, Yuanning Li, Yonghong Tian, Ling‐Yu Duan, & Wen Gao. (2009). Group-sensitive multiple kernel learning for object categorization. 436–443. 101 indexed citations

20.

Zhou, Zhi, Yonghong Tian, Yuanning Li, et al.. (2008). PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval.. CLEF (Working Notes). 1 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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