David Yu

830 total citations · 1 hit paper
9 papers, 538 citations indexed

About

David Yu is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Yu has authored 9 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Yu's work include Face Recognition and Perception (2 papers), Functional Brain Connectivity Studies (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). David Yu is often cited by papers focused on Face Recognition and Perception (2 papers), Functional Brain Connectivity Studies (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). David Yu collaborates with scholars based in United States, Australia and United Kingdom. David Yu's co-authors include David A. Leopold, Frank Q. Ye, Anil K. Seth, Colin Reveley, Afonso C. Silva, Richard C. Saunders, Carlo Pierpaoli, Janita Turchi, Carlos R. Cortes and Jeff H. Duyn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

David Yu

9 papers receiving 532 citations

Hit Papers

Superficial white matter fiber systems impede detection o... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Yu United States 6 406 324 60 53 37 9 538
Colin Reveley United Kingdom 5 418 1.0× 333 1.0× 26 0.4× 64 1.2× 33 0.9× 6 570
Moisés Hernández-Fernández United Kingdom 6 282 0.7× 335 1.0× 23 0.4× 70 1.3× 17 0.5× 8 441
Jordan DeKraker Canada 11 271 0.7× 157 0.5× 73 1.2× 24 0.5× 24 0.6× 25 394
Eric Maltbie United States 12 237 0.6× 206 0.6× 82 1.4× 81 1.5× 18 0.5× 21 467
Kristin Koller United Kingdom 9 182 0.4× 124 0.4× 27 0.5× 24 0.5× 32 0.9× 12 315
Jesse Breedlove United States 6 423 1.0× 201 0.6× 40 0.7× 45 0.8× 25 0.7× 10 558
A.M. van Cappellen van Walsum Netherlands 6 310 0.8× 80 0.2× 50 0.8× 28 0.5× 38 1.0× 6 397
Gert Kristo Netherlands 10 220 0.5× 127 0.4× 38 0.6× 29 0.5× 11 0.3× 10 347
Matthew Rosenberg United States 6 258 0.6× 85 0.3× 95 1.6× 15 0.3× 39 1.1× 8 407
James A. Brissenden United States 9 305 0.8× 88 0.3× 27 0.5× 23 0.4× 118 3.2× 19 403

Countries citing papers authored by David Yu

Since Specialization
Citations

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

Fields of papers citing papers by David Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Yu

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

All Works

9 of 9 papers shown
1.
Taubert, Jessica, et al.. (2022). Clutter Substantially Reduces Selectivity for Peripheral Faces in the Macaque Brain. Journal of Neuroscience. 42(35). 6739–6750. 8 indexed citations
2.
Taubert, Jessica, et al.. (2022). A broadly tuned network for affective body language in the macaque brain. Science Advances. 8(47). eadd6865–eadd6865. 10 indexed citations
3.
Yoshida, Atsushi, Frank Q. Ye, David Yu, David A. Leopold, & Okihide Hikosaka. (2021). Visualization of iron-rich subcortical structures in non-human primates in vivo by quantitative susceptibility mapping at 3T MRI. NeuroImage. 241. 118429–118429. 8 indexed citations
4.
Turchi, Janita, Catie Chang, Frank Q. Ye, et al.. (2018). The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations. Neuron. 97(4). 940–952.e4. 150 indexed citations
5.
Reveley, Colin, Anil K. Seth, Carlo Pierpaoli, et al.. (2015). Superficial white matter fiber systems impede detection of long-range cortical connections in diffusion MR tractography. Proceedings of the National Academy of Sciences. 112(21). E2820–8. 294 indexed citations breakdown →
6.
Pelled, Galit, Debra A. Bergstrom, Patrick L. Tierney, et al.. (2009). Ipsilateral cortical fMRI responses after peripheral nerve damage in rats reflect increased interneuron activity. Proceedings of the National Academy of Sciences. 106(33). 14114–14119. 61 indexed citations
7.
Chang, Jason S., et al.. (2001). Nathu IR System at NTCIR-II.. NTCIR. 2 indexed citations
8.
Chang, Jason S., et al.. (2001). 統計式片語翻譯模型 (Statistical Translation Model for Phrases) [In Chinese]. 6(2). 43–64. 2 indexed citations
9.
Chang, Jason S., et al.. (2001). Statistical Translation Model for Phrases.. 6. 3 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

Rankless by CCL
2026