Li Yao

4.2k total citations
175 papers, 3.1k citations indexed

About

Li Yao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Li Yao has authored 175 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cognitive Neuroscience, 35 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Signal Processing. Recurrent topics in Li Yao's work include Functional Brain Connectivity Studies (73 papers), EEG and Brain-Computer Interfaces (58 papers) and Neural dynamics and brain function (45 papers). Li Yao is often cited by papers focused on Functional Brain Connectivity Studies (73 papers), EEG and Brain-Computer Interfaces (58 papers) and Neural dynamics and brain function (45 papers). Li Yao collaborates with scholars based in China, United States and Belgium. Li Yao's co-authors include Xia Wu, Kewei Chen, Zhiying Long, Xiaojie Zhao, Xiaotong Wen, Yijun Liu, Lele Xu, Mingzhou Ding, Kuncheng Li and Zhi­qun Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Neuroscience.

In The Last Decade

Li Yao

161 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Yao China 28 2.0k 673 564 310 294 175 3.1k
Yingchun Zhang China 37 2.1k 1.0× 719 1.1× 256 0.5× 468 1.5× 281 1.0× 350 4.8k
Chong-Yaw Wee United States 24 1.5k 0.7× 756 1.1× 484 0.9× 192 0.6× 362 1.2× 37 2.3k
Mélanie Pélégrini‐Issac France 30 2.4k 1.2× 1.4k 2.0× 554 1.0× 360 1.2× 343 1.2× 76 4.2k
Jie Xiang China 25 1.8k 0.9× 403 0.6× 360 0.6× 343 1.1× 195 0.7× 140 2.6k
Jonas Richiardi Switzerland 23 1.3k 0.7× 710 1.1× 290 0.5× 233 0.8× 113 0.4× 78 2.5k
Yu Sun China 40 2.7k 1.3× 892 1.3× 606 1.1× 809 2.6× 213 0.7× 198 4.9k
Anders Eklund Sweden 19 2.2k 1.1× 862 1.3× 389 0.7× 540 1.7× 153 0.5× 76 4.0k
Jussi Tohka Finland 28 1.3k 0.7× 1.1k 1.6× 784 1.4× 221 0.7× 527 1.8× 123 3.5k
Carlton Chu United Kingdom 19 1.9k 0.9× 860 1.3× 966 1.7× 269 0.9× 525 1.8× 30 3.7k
Monica Baciu France 34 2.4k 1.2× 355 0.5× 610 1.1× 554 1.8× 131 0.4× 116 3.7k

Countries citing papers authored by Li Yao

Since Specialization
Citations

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

Fields of papers citing papers by Li Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Yao. A scholar is included among the top collaborators of Li Yao 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 Li Yao. Li Yao 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.
Li, Zhuoyuan, Haotian Zhang, Yuqi Li, et al.. (2025). USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s. IEEE Transactions on Multimedia. 28. 269–284. 3 indexed citations
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Dang, Yaoguo, et al.. (2024). A new information priority grey prediction model for forecasting wind electricity generation with targeted regional hierarchy. Expert Systems with Applications. 252. 124199–124199. 5 indexed citations
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Li, Qing, et al.. (2024). A Brain-Inspired Harmonized Learning With Concurrent Arbitration for Enhancing Motion Planning in Fuzzy Environments. IEEE Transactions on Fuzzy Systems. 33(2). 631–643.
7.
Wang, Weihao, Bo Jiang, Zhao Wang, et al.. (2023). Alloying effect enhanced bimetallic Ni-Fe/TiO2 catalysts for selective hydrogenation of 1,3-butadiene in the presence of an excess of propylene. Molecular Catalysis. 550. 113602–113602. 8 indexed citations
8.
Xu, Yuanhang, et al.. (2021). Altered Dynamic Functional Connectivity in Subcortical Ischemic Vascular Disease With Cognitive Impairment. Frontiers in Aging Neuroscience. 13. 758137–758137. 11 indexed citations
9.
Yao, Li, et al.. (2020). Evaluating the amygdala network induced by neurofeedback training for emotion regulation using hierarchical clustering. Brain Research. 1740. 146853–146853. 8 indexed citations
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Wei, Na, Li Yao, Jinfang Wang, et al.. (2019). A Neuroimaging Marker Based on Diffusion Tensor Imaging and Cognitive Impairment Due to Cerebral White Matter Lesions. Frontiers in Neurology. 10. 81–81. 33 indexed citations
12.
Wang, Yubao, et al.. (2019). Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging. PLoS ONE. 14(4). e0214937–e0214937. 4 indexed citations
13.
Li, Feng, Qijing Bo, Xianbin Li, et al.. (2017). The dynamic characteristics of the anterior cingulate cortex in resting-state fMRI of patients with depression. Journal of Affective Disorders. 227. 391–397. 62 indexed citations
14.
Ge, Ruiyang, Yubao Wang, Jipeng Zhang, et al.. (2016). Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources. Journal of Neuroscience Methods. 263. 103–114. 23 indexed citations
15.
Li, Ke, Xiaojuan Guo, Zhen Jin, et al.. (2015). Effect of Simulated Microgravity on Human Brain Gray Matter and White Matter – Evidence from MRI. PLoS ONE. 10(8). e0135835–e0135835. 47 indexed citations
16.
Chen, Kewei, Li Yao, Xia Wu, et al.. (2015). Independent Component Analysis-Based Identification of Covariance Patterns of Microstructural White Matter Damage in Alzheimer’s Disease. PLoS ONE. 10(3). e0119714–e0119714. 11 indexed citations
17.
Cheng, Chen, et al.. (2014). Working memory training using EEG neurofeedback in normal young adults. Bio-Medical Materials and Engineering. 24(6). 3637–3644. 22 indexed citations
18.
Wu, Xia, Rui Li, Adam Fleisher, et al.. (2011). Altered default mode network connectivity in alzheimer's disease—A resting functional MRI and bayesian network study. Human Brain Mapping. 32(11). 1868–1881. 168 indexed citations
19.
Wu, Xia, Kewei Chen, Li Yao, et al.. (2010). Assessing the reliability to detect cerebral hypometabolism in probable Alzheimer's disease and amnestic mild cognitive impairment. Journal of Neuroscience Methods. 192(2). 277–285. 13 indexed citations
20.
Yao, Li, et al.. (2001). Medical image segmentation based on cellular neural network. Science in China Series F Information Sciences. 44(1). 68–72. 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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