Wu Li

5.2k total citations · 1 hit paper
51 papers, 3.4k citations indexed

About

Wu Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wu Li has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wu Li's work include Neural dynamics and brain function (37 papers), Visual perception and processing mechanisms (36 papers) and Neural and Behavioral Psychology Studies (9 papers). Wu Li is often cited by papers focused on Neural dynamics and brain function (37 papers), Visual perception and processing mechanisms (36 papers) and Neural and Behavioral Psychology Studies (9 papers). Wu Li collaborates with scholars based in China, United States and United Kingdom. Wu Li's co-authors include Charles D. Gilbert, Valentin Piëch, Roy E. Crist, Yin Yan, Minggui Chen, Hualou Liang, Justin N.J. McManus, Winfried Denk, Homare Yamahachi and Xiajing Gong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Wu Li

47 papers receiving 3.4k citations

Hit Papers

Top-down influences on visual processing 2013 2026 2017 2021 2013 200 400 600
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. Top-down influences on visual processing
    2013 733 citations Charles D. Gilbert, Wu Li Nature reviews. Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wu Li China 24 3.0k 859 299 277 252 51 3.4k
David C. Somers United States 29 3.8k 1.3× 766 0.9× 203 0.7× 430 1.6× 171 0.7× 75 4.3k
Alessandra Angelucci United States 27 3.5k 1.2× 1.3k 1.5× 485 1.6× 273 1.0× 353 1.4× 55 4.1k
Alexander C. Huk United States 26 3.5k 1.2× 570 0.7× 245 0.8× 359 1.3× 198 0.8× 64 3.7k
Christopher C. Pack Canada 33 3.0k 1.0× 1.1k 1.3× 357 1.2× 167 0.6× 289 1.1× 84 3.4k
Kenneth H. Britten United States 22 4.2k 1.4× 1.3k 1.6× 363 1.2× 336 1.2× 175 0.7× 33 4.5k
Peter De Weerd Netherlands 30 5.7k 1.9× 1.2k 1.4× 296 1.0× 561 2.0× 249 1.0× 111 6.2k
Nicole C. Rust United States 23 3.3k 1.1× 1.1k 1.3× 424 1.4× 173 0.6× 545 2.2× 43 4.0k
Jochen Braun Germany 33 3.4k 1.1× 494 0.6× 463 1.5× 492 1.8× 439 1.7× 87 4.3k
Michael A. Paradiso United States 23 2.2k 0.7× 810 0.9× 369 1.2× 198 0.7× 234 0.9× 47 2.9k
Bart Krekelberg United States 30 3.2k 1.1× 648 0.8× 282 0.9× 430 1.6× 278 1.1× 94 3.6k

Countries citing papers authored by Wu Li

Since Specialization
Citations

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

Fields of papers citing papers by Wu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Li. A scholar is included among the top collaborators of Wu 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 Wu Li. Wu Li 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.
Ye, Xin, Yin Yan, & Wu Li. (2025). A central and unified role of corticocortical feedback in parsing visual scenes. Nature Communications. 16(1). 6930–6930.
2.
Cheng, Yao, et al.. (2024). A Hybrid Approach for Pavement Crack Detection Using Mask R-CNN and Vision Transformer Model. Computers, materials & continua/Computers, materials & continua (Print). 82(1). 561–577. 6 indexed citations
3.
Li, Wu, et al.. (2021). Perceptual learning as a result of concerted changes in prefrontal and visual cortex. Current Biology. 31(20). 4521–4533.e3. 14 indexed citations
4.
Zhang, En & Wu Li. (2020). Improved fidelity of orientation perception: a learning effect dissociable from enhanced discriminability. Scientific Reports. 10(1). 6572–6572. 2 indexed citations
5.
Damon, Fabrice, Zhihan Li, Wu Li, et al.. (2018). Preference for attractive faces is species-specific.. Journal of comparative psychology. 133(2). 262–271. 3 indexed citations
6.
Li, Tao, Wu Li, Yehui Yang, & Wensheng Zhang. (2017). Classification of brain disease in magnetic resonance images using two-stage local feature fusion. PLoS ONE. 12(2). e0171749–e0171749. 12 indexed citations
7.
Wang, Rui, Jie Wang, Jun-Yun Zhang, et al.. (2016). Perceptual Learning at a Conceptual Level. Journal of Neuroscience. 36(7). 2238–2246. 48 indexed citations
8.
Hu, Meng, Mingyao Li, Wu Li, & Hualou Liang. (2016). Data on copula modeling of mixed discrete and continuous neural time series. Data in Brief. 7. 1364–1369. 1 indexed citations
9.
Wang, Feng, Minggui Chen, Yin Yan, Li Zhaoping, & Wu Li. (2015). Modulation of Neuronal Responses by Exogenous Attention in Macaque Primary Visual Cortex. Journal of Neuroscience. 35(39). 13419–13429. 25 indexed citations
10.
Yan, Yin, et al.. (2014). Perceptual training continuously refines neuronal population codes in primary visual cortex. Nature Neuroscience. 17(10). 1380–1387. 100 indexed citations
11.
Gilbert, Charles D. & Wu Li. (2013). Top-down influences on visual processing. Nature reviews. Neuroscience. 14(5). 350–363. 733 indexed citations breakdown →
12.
McFarland, Richard, Hettie Roebuck, Yin Yan, et al.. (2013). Social Interactions through the Eyes of Macaques and Humans. PLoS ONE. 8(2). e56437–e56437. 26 indexed citations
13.
McManus, Justin N.J., et al.. (2013). Top-Down Modulation of Lateral Interactions in Visual Cortex. Journal of Neuroscience. 33(5). 1773–1789. 55 indexed citations
14.
Gilbert, Charles D. & Wu Li. (2012). Adult Visual Cortical Plasticity. Neuron. 75(2). 250–264. 149 indexed citations
15.
Xing, Dajun, et al.. (2012). Stochastic Generation of Gamma-Band Activity in Primary Visual Cortex of Awake and Anesthetized Monkeys. Journal of Neuroscience. 32(40). 13873–13880a. 94 indexed citations
16.
McManus, Justin N.J., Wu Li, & Charles D. Gilbert. (2011). Adaptive shape processing in primary visual cortex. Proceedings of the National Academy of Sciences. 108(24). 9739–9746. 70 indexed citations
17.
Li, Wu. (2010). Constructing Causal Inference for Local Coherence in Expository Text Comprehension. Acta Psychologica Sinica. 1 indexed citations
18.
Zhang, Hui, Xiaopeng Zhang, Ying‐Shi Sun, et al.. (2010). A weighted-RV method to detect fine-scale functional connectivity during resting state. NeuroImage. 54(4). 2885–2898. 6 indexed citations
19.
Li, Wu, Valentin Piëch, & Charles D. Gilbert. (2008). Learning to Link Visual Contours. Neuron. 57(3). 442–451. 171 indexed citations
20.
Yamahachi, Homare, et al.. (2006). Axons and Synaptic Boutons Are Highly Dynamic in Adult Visual Cortex. Neuron. 49(6). 877–887. 198 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David C. Somers Breakdown of academic impact, for papers by Alessandra Angelucci Breakdown of academic impact, for papers by Alexander C. Huk Breakdown of academic impact, for papers by Christopher C. Pack Breakdown of academic impact, for papers by Kenneth H. Britten Breakdown of academic impact, for papers by Peter De Weerd Breakdown of academic impact, for papers by Nicole C. Rust Breakdown of academic impact, for papers by Jochen Braun Breakdown of academic impact, for papers by Michael A. Paradiso Breakdown of academic impact, for papers by Bart Krekelberg
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