Long Luu

538 citations
21 papers · 389 · h-index 10

Impact in

Papers in

Long Luu

20 papers receiving 369 citations

Peers

Long Luu
Comparison fields: 5 of 79
  • Media Technology 90
  • Computer Vision and Pattern Recognition 173
  • General Decision Sciences 13
  • Cognitive Neuroscience 56
  • Radiology, Nuclear Medicine and Imaging 52
Replace Svenja Ettl with:
Svenja Ettl Germany
Ljiljana Platiša Belgium
Gustavo E. Galizzi Argentina
A. Farras Abdelnour United States
Wenqing Su China
Davood Khodadad Sweden
V. H. Flores-Muñoz Mexico
Binh T. Pham United States
Takeshi Asahi Chile
Julián Espinosa Spain
Long Luu relative to Svenja Ettl Germany Svenja Ettl's profile →
Citations per field
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Svenja Ettl · 1×
Citations per year

Countries citing papers authored by Long Luu

Since Specialization
Citations

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

Fields of papers citing papers by Long Luu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Long Luu, 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 Long Luu Line = papers co-authored together Long Luu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011120
2 201147
3 201840
4 201238
5 201133
6 201226
7 201122
8 202215
9 202011
10 202110
11 20159
12 20245
13 20034
14 20212
15 20212
16 20231
17 20061
18 20171
19
Choice-dependent Perceptual Biases
20161
20 20201

About Long Luu

Long Luu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Biomedical Engineering, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 389 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (4 papers), Neural and Behavioral Psychology Studies (4 papers), Visual perception and processing mechanisms (4 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Context-Aware Activity Recognition Systems (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Media Technology (90 citations), Computer Vision and Pattern Recognition (173 citations), General Decision Sciences (13 citations), Cognitive Neuroscience (56 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). Long Luu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Zhaoyang Wang, Minh Vo, Thang M. Hoang, Alan A. Stocker, Jessica C. Ramella‐Roman, Bing Pan, Scott A. Mathews, Jun Ma, Arvind Pillai and Faisal M. Khan. Their work appears in journals such as Journal of Vision, Biomedical Optics Express, Psychological Review, PLoS Computational Biology and Applied Physics Letters.

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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