James Gao

648 total citations
8 papers, 378 citations indexed

About

James Gao is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Gao has authored 8 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in James Gao's work include Functional Brain Connectivity Studies (3 papers), Visual perception and processing mechanisms (2 papers) and Virtual Reality Applications and Impacts (1 paper). James Gao is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Visual perception and processing mechanisms (2 papers) and Virtual Reality Applications and Impacts (1 paper). James Gao collaborates with scholars based in United States, United Kingdom and Germany. James Gao's co-authors include Jack L. Gallant, Alexander G. Huth, Martin S. Banks, Philip J.W. Hands, Andrew K. Kirby, Gordon D. Love, David M. Hoffman, Mark D. Lescroart, Anwar O. Núñez-Elizalde and Natalia Y. Bilenko and has published in prestigious journals such as Nature Neuroscience, Optics Express and Frontiers in Neuroscience.

In The Last Decade

James Gao

8 papers receiving 356 citations

Peers

James Gao
Steven A. Cholewiak United States
Rachel Albert United States
H. Isono Japan
Nathan Matsuda United States
Xinxing Xia China
Nitish Padmanaban United States
Toni Järvenpää Finland
Marja Salmimaa Finland
S. Ghebreab Netherlands
Umesh Rajashekar United States
Steven A. Cholewiak United States
James Gao
Citations per year, relative to James Gao James Gao (= 1×) peers Steven A. Cholewiak

Countries citing papers authored by James Gao

Since Specialization
Citations

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

Fields of papers citing papers by James Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Gao

This figure shows the co-authorship network connecting the top 25 collaborators of James Gao. A scholar is included among the top collaborators of James Gao 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 James Gao. James Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Liu, Changqing, et al.. (2024). A causal based method for denoising non-homologous noises in time series manufacturing monitoring data. Journal of Manufacturing Systems. 76. 92–102. 2 indexed citations
2.
Gao, James, et al.. (2021). Voxel-Based State Space Modeling Recovers Task-Related Cognitive States in Naturalistic fMRI Experiments. Frontiers in Neuroscience. 14. 565976–565976. 5 indexed citations
3.
Huth, Alexander G., Natalia Y. Bilenko, Fatma Deniz, et al.. (2021). Visual and linguistic semantic representations are aligned at the border of human visual cortex. Nature Neuroscience. 24(11). 1628–1636. 78 indexed citations
4.
Núñez-Elizalde, Anwar O., James Gao, Tianjiao Zhang, & Jack L. Gallant. (2018). cottoncandy: scientific python package for easy cloud storage. The Journal of Open Source Software. 3(28). 890–890. 1 indexed citations
5.
Wehbe, Leila, et al.. (2018). BOLD predictions: automated simulation of fMRI experiments. 1 indexed citations
6.
Gao, James, Alexander G. Huth, Mark D. Lescroart, & Jack L. Gallant. (2015). Pycortex: an interactive surface visualizer for fMRI. Frontiers in Neuroinformatics. 9. 23–23. 98 indexed citations
7.
Gao, James. (2015). fMRI visualization and methods. eScholarship (California Digital Library). 2 indexed citations
8.
Love, Gordon D., David M. Hoffman, Philip J.W. Hands, et al.. (2009). High-speed switchable lens enables the development of a volumetric stereoscopic display. Optics Express. 17(18). 15716–15716. 191 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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2026