Yi‐Ou Li

2.3k total citations · 1 hit paper
22 papers, 1.9k citations indexed

About

Yi‐Ou Li is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yi‐Ou Li has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 16 papers in Signal Processing and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yi‐Ou Li's work include Blind Source Separation Techniques (16 papers), Neural dynamics and brain function (15 papers) and Functional Brain Connectivity Studies (13 papers). Yi‐Ou Li is often cited by papers focused on Blind Source Separation Techniques (16 papers), Neural dynamics and brain function (15 papers) and Functional Brain Connectivity Studies (13 papers). Yi‐Ou Li collaborates with scholars based in United States, Taiwan and Norway. Yi‐Ou Li's co-authors include Vince D. Calhoun, Tülay Adalı, Nicolle Correa, Tülay Adalı, T. Adali, Wei Wang, Pratik Mukherjee, Elliott H. Sherr, Shelly R. Cooper and Sara C. LaHue and has published in prestigious journals such as NeuroImage, IEEE Transactions on Signal Processing and Human Brain Mapping.

In The Last Decade

Yi‐Ou Li

21 papers receiving 1.8k citations

Hit Papers

Estimating the number of independent components for funct... 2007 2026 2013 2019 2007 250 500 750
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. Estimating the number of independent components for functional magnetic resonance imaging data
    2007 773 citations Yi‐Ou Li, Tülay Adalı et al. Human Brain Mapping profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Ou Li United States 15 1.2k 585 521 145 125 22 1.9k
Sandra S. Kindermann United States 16 2.2k 1.8× 773 1.3× 703 1.3× 429 3.0× 133 1.1× 22 2.9k
Herbert Witte Germany 30 2.6k 2.1× 231 0.4× 440 0.8× 144 1.0× 329 2.6× 167 3.6k
Frank C. Meinecke Germany 16 1.6k 1.3× 180 0.3× 396 0.8× 72 0.5× 238 1.9× 31 2.0k
Ardalan Aarabi France 24 1.3k 1.1× 372 0.6× 339 0.7× 364 2.5× 177 1.4× 69 1.9k
Eduardo Martínez‐Montes Cuba 17 1.2k 1.0× 448 0.8× 268 0.5× 83 0.6× 64 0.5× 49 1.6k
Björn Schelter Germany 24 2.1k 1.7× 200 0.3× 446 0.9× 443 3.1× 233 1.9× 60 2.8k
Luiz Antonio Baccalá Brazil 20 2.8k 2.3× 229 0.4× 366 0.7× 95 0.7× 266 2.1× 63 3.5k
Isabelle Merlet France 31 2.0k 1.6× 438 0.7× 469 0.9× 660 4.6× 68 0.5× 70 2.8k
Guillaume Flandin United Kingdom 28 2.8k 2.2× 872 1.5× 256 0.5× 195 1.3× 174 1.4× 53 3.6k
Joachim Möcks Germany 24 1.6k 1.3× 100 0.2× 414 0.8× 203 1.4× 135 1.1× 40 2.3k

Countries citing papers authored by Yi‐Ou Li

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Ou Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Ou Li. A scholar is included among the top collaborators of Yi‐Ou 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 Yi‐Ou Li. Yi‐Ou 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.
Friedman, Eric J., Adam S. Landsberg, Julia P. Owen, Yi‐Ou Li, & Pratik Mukherjee. (2014). Stochastic geometric network models for groups of functional and structural connectomes. NeuroImage. 101. 473–484. 14 indexed citations
2.
Owen, Julia P., Yi‐Ou Li, Fan Yang, et al.. (2013). Resting-State Networks and the Functional Connectome of the Human Brain in Agenesis of the Corpus Callosum. Brain Connectivity. 3(6). 547–562. 44 indexed citations
3.
Owen, Julia P., Yi‐Ou Li, Etay Ziv, et al.. (2012). The structural connectome of the human brain in agenesis of the corpus callosum. NeuroImage. 70. 340–355. 65 indexed citations
4.
Li, Yi‐Ou, Fan Yang, Christopher Nguyen, et al.. (2011). Independent component analysis of DTI reveals multivariate microstructural correlations of white matter in the human brain. Human Brain Mapping. 33(6). 1431–1451. 28 indexed citations
5.
Li, Yi‐Ou, Tom Eichele, Vince D. Calhoun, & Tülay Adalı. (2011). Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis. Journal of Signal Processing Systems. 68(1). 31–48. 25 indexed citations
6.
Wahl, Michael, Yi‐Ou Li, Sara C. LaHue, et al.. (2010). Microstructural correlations of white matter tracts in the human brain. NeuroImage. 51(2). 531–541. 88 indexed citations
7.
Li, Hualiang, et al.. (2010). On Entropy Rate for the Complex Domain and Its Application to i.i.d. Sampling. IEEE Transactions on Signal Processing. 58(4). 2409–2414. 6 indexed citations
8.
Li, Yi‐Ou, et al.. (2010). Order Selection of the Linear Mixing Model for Complex-Valued FMRI Data. Journal of Signal Processing Systems. 67(2). 117–128. 3 indexed citations
9.
Correa, Nicolle, Tom Eichele, Tülay Adalı, Yi‐Ou Li, & Vince D. Calhoun. (2010). Fusion of concurrent single trial EEG data and fMRI data using multi-set canonical correlation analysis. 102. 5438–5441. 1 indexed citations
10.
Correa, Nicolle, Tülay Adalı, Yi‐Ou Li, & Vince D. Calhoun. (2010). Canonical Correlation Analysis for Data Fusion and Group Inferences. IEEE Signal Processing Magazine. 27(4). 39–50. 200 indexed citations
11.
Li, Yi‐Ou, T. Adali, Wei Wang, & Vince D. Calhoun. (2009). Joint Blind Source Separation by Multiset Canonical Correlation Analysis. IEEE Transactions on Signal Processing. 57(10). 3918–3929. 258 indexed citations
12.
Li, Yi‐Ou, Wei Wang, Tülay Adalı, & Vince D. Calhoun. (2008). CCA for joint blind source separation of multiple datasets with application to group FMRI analysis. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1837–1840. 15 indexed citations
13.
Correa, Nicolle, Yi‐Ou Li, Tülay Adalı, & Vince D. Calhoun. (2008). Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia. IEEE Journal of Selected Topics in Signal Processing. 2(6). 998–1007. 106 indexed citations
14.
Correa, Nicolle, Yi‐Ou Li, Tülay Adalı, & Vince D. Calhoun. (2008). Examining associations between FMRI and EEG data using canonical correlation analysis. 1251–1254. 9 indexed citations
15.
Li, Yi‐Ou, et al.. (2008). On ICA of complex-valued fMRI: Advantages and order selection. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 22 indexed citations
16.
Li, Yi‐Ou, Tülay Adalı, & Vince D. Calhoun. (2007). A Feature‐Selective Independent Component Analysis Method for Functional MRI. International Journal of Biomedical Imaging. 2007(1). 15635–15635. 29 indexed citations
17.
Li, Yi‐Ou, Tülay Adalı, & Vince D. Calhoun. (2007). Estimating the number of independent components for functional magnetic resonance imaging data. Human Brain Mapping. 28(11). 1251–1266. 773 indexed citations breakdown →
18.
Li, Yi‐Ou, T. Adali, & Vince D. Calhoun. (2007). A Multivariate Model for Comparison of Two Datasets and its Application to FMRI Analysis. 217–222. 5 indexed citations
19.
Correa, Nicolle, Tülay Adalı, Yi‐Ou Li, & Vince D. Calhoun. (2006). Comparison of Blind Source Separation Algorithms for FMRI Using a New Matlab Toolbox: GIFT. 5. 401–404. 93 indexed citations
20.
Li, Yi‐Ou, Tülay Adalı, & Vince D. Calhoun. (2005). Independent component analysis with feature selective filtering. 617. 193–202.

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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