Vy A. Vo

762 total citations
16 papers, 280 citations indexed

About

Vy A. Vo is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Vy A. Vo has authored 16 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Vy A. Vo's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (4 papers) and Topic Modeling (3 papers). Vy A. Vo is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (4 papers) and Topic Modeling (3 papers). Vy A. Vo collaborates with scholars based in United States, Thailand and Israel. Vy A. Vo's co-authors include Thomas C. Sprague, John T. Serences, Jessica F. Cantlon, Nate Kornell, Alexandre Pouget, Rosa Li, Sirawaj Itthipuripat, Joshua J. Foster, David Sutterer and Kirsten Adam and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Neurophysiology.

In The Last Decade

Vy A. Vo

14 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vy A. Vo United States	7	217	57	36	33	23	16	280
Tomoya Nakai Japan	9	133 0.6×	39 0.7×	19 0.5×	31 0.9×	27 1.2×	27	200
Shipra Kanjlia United States	10	263 1.2×	93 1.6×	27 0.8×	59 1.8×	106 4.6×	15	325
Nicolas Farrugia France	8	163 0.8×	45 0.8×	20 0.6×	6 0.2×	30 1.3×	24	212
Johannes Bloechle Germany	9	141 0.6×	90 1.6×	62 1.7×	141 4.3×	35 1.5×	14	246
Connor Lane United States	6	183 0.8×	42 0.7×	4 0.1×	20 0.6×	68 3.0×	9	224
Fabrice Luyckx United Kingdom	6	161 0.7×	22 0.4×	7 0.2×	26 0.8×	43 1.9×	6	220
Yi Qian China	9	88 0.4×	124 2.2×	33 0.9×	60 1.8×	16 0.7×	24	252
Acer Yu-Chan Chang Japan	7	164 0.8×	18 0.3×	10 0.3×	46 1.4×	46 2.0×	17	197
T. Berger United States	3	272 1.3×	92 1.6×	11 0.3×	38 1.2×	71 3.1×	8	330

Countries citing papers authored by Vy A. Vo

Since Specialization

Citations

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

Fields of papers citing papers by Vy A. Vo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vy A. Vo. 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 Vy A. Vo. The network helps show where Vy A. Vo may publish in the future.

Co-authorship network of co-authors of Vy A. Vo

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

All Works

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16 of 16 papers shown

Vo, Vy A., et al.. (2024). MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks. 1–7.

Raccah, Omri, et al.. (2024). The “Naturalistic Free Recall” dataset: four stories, hundreds of participants, and high-fidelity transcriptions. Scientific Data. 11(1). 1317–1317. 2 indexed citations

Vo, Vy A., Mihai Capotă, Theodore L. Willke, et al.. (2024). MPIrigen: MPI Code Generation through Domain-Specific Language Models. 1–6.

Ma, Guixiang, Vy A. Vo, Theodore L. Willke, & Nesreen K. Ahmed. (2023). Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Transactions on Artificial Intelligence. 5(5). 2011–2025. 1 indexed citations

Ma, Guixiang, Vy A. Vo, Theodore L. Willke, & Nesreen K. Ahmed. (2023). Augmenting Recurrent Graph Neural Networks with a Cache. 1608–1619. 2 indexed citations

Jain, Shailee, Vy A. Vo, Leila Wehbe, & Alexander G. Huth. (2023). Computational Language Modeling and the Promise of In Silico Experimentation. SHILAP Revista de lepidopterología. 5(1). 80–106. 16 indexed citations

Ma, Guixiang, Vy A. Vo, Theodore L. Willke, & Nesreen K. Ahmed. (2022). Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. arXiv (Cornell University). 1 indexed citations

Turek, Javier S., et al.. (2022). Long Short-Term Memory with Slower Information Decay. 1 indexed citations

Vo, Vy A., David Sutterer, Joshua J. Foster, et al.. (2021). Shared Representational Formats for Information Maintained in Working Memory and Information Retrieved from Long-Term Memory. Cerebral Cortex. 32(5). 1077–1092. 19 indexed citations

10.

Jain, Shailee, et al.. (2020). Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. Neural Information Processing Systems. 33. 13738–13749. 1 indexed citations

11.

Itthipuripat, Sirawaj, Vy A. Vo, Thomas C. Sprague, & John T. Serences. (2019). Value-driven attentional capture enhances distractor representations in early visual cortex. PLoS Biology. 17(8). e3000186–e3000186. 24 indexed citations

12.

Vo, Vy A., et al.. (2019). Multivariate Analysis of BOLD Activation Patterns Recovers Graded Depth Representations in Human Visual and Parietal Cortex. eNeuro. 6(4). ENEURO.0362–18.2019. 6 indexed citations

13.

Sprague, Thomas C., Sirawaj Itthipuripat, Vy A. Vo, & John T. Serences. (2018). Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex. Journal of Neurophysiology. 119(6). 2153–2165. 39 indexed citations

14.

Sprague, Thomas C., Kirsten Adam, Joshua J. Foster, et al.. (2018). Inverted Encoding Models Assay Population-Level Stimulus Representations, Not Single-Unit Neural Tuning. eNeuro. 5(3). ENEURO.0098–18.2018. 51 indexed citations

15.

Vo, Vy A., Thomas C. Sprague, & John T. Serences. (2017). Spatial Tuning Shifts Increase the Discriminability and Fidelity of Population Codes in Visual Cortex. Journal of Neuroscience. 37(12). 3386–3401. 34 indexed citations

16.

Vo, Vy A., Rosa Li, Nate Kornell, Alexandre Pouget, & Jessica F. Cantlon. (2014). Young Children Bet on Their Numerical Skills. Psychological Science. 25(9). 1712–1721. 83 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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