Brian Hu

1.2k citations
24 papers · 564 · 1 hit paper · h-index 10

Impact in

Papers in

Brian Hu

21 papers receiving 552 citations

Brian Hu's Hit Papers

Survey of spiking in the mouse visual system reveals functional hierarchy 2021 · 298 citations
2980+1+3Years since publication50100150200250

Peers

Brian Hu
Comparison fields: 5 of 83
  • Cognitive Neuroscience 318
  • Health Informatics 17
  • Cellular and Molecular Neuroscience 173
  • Sensory Systems 26
  • Computer Vision and Pattern Recognition 79
Replace Anupam Garg with:
Anupam Garg United States
João Sacramento Switzerland
Shreya Saxena United States
Cristina Savin United States
Ben A. Duffy United States
Scott Cheng‐Hsin Yang United States
G. Sean Escola United States
Songyao Zhang China
Maximilian E. Dougherty United States
Zaneta Navratilova United States
Brian Hu relative to Anupam Garg United States Anupam Garg's profile →
Citations per field
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Anupam Garg · 1×
Citations per year

Countries citing papers authored by Brian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Hu Line = papers co-authored together Brian Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Survey of spiking in the mouse visual system reveals functional hierarchy
Hit paper breakdown →
2021298
2 202051
3 202243
4 201428
5 201624
6 201720
7 202119
8 201715
9 202113
10 201912
11 20238
12 20217
13 20155
14 20114
15 20214
16 20204
17 20223
18 20182
19 20191
20 20211

About Brian Hu

Brian Hu is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Health Informatics, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 24 papers that have together received 564 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (9 papers), Visual Attention and Saliency Detection (8 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Cognitive Neuroscience (318 citations), Health Informatics (17 citations), Cellular and Molecular Neuroscience (173 citations), Sensory Systems (26 citations) and Computer Vision and Pattern Recognition (79 citations). Brian Hu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ernst Niebur, Anthony J. Hoogs, Yun Chen, Wei‐Hung Jung, Rudiger von der Heydt, Raj Satkunasivam, Keith Allen Jarvi, Kirk C. Lo, Brendan M. Mullen and Michael H. Ordon. Their work appears in journals such as PLoS Computational Biology, Physiological Research, eNeuro, Vision Research and Cinema Journal.

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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