Long Luu

531 citations
22 papers · 368 · h-index 10

Impact in

Papers in

Long Luu

21 papers receiving 352 citations

Peers

Long Luu
Comparison fields: 5 of 75
  • Media Technology 83
  • Computer Vision and Pattern Recognition 166
  • General Decision Sciences 9
  • Cognitive Neuroscience 54
  • Radiology, Nuclear Medicine and Imaging 56
Replace Svenja Ettl with:
Svenja Ettl Germany
Ljiljana Platiša Belgium
Gustavo E. Galizzi Argentina
Davood Khodadad Sweden
A. Farras Abdelnour United States
Takeshi Asahi Chile
Liming Tang China
Marios Papas Switzerland
Carlos Aliaga Spain
Ventseslav Sainov Bulgaria
Long Luu relative to Svenja Ettl Germany Svenja Ettl's profile →
Citations per field
00.5×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011114
2 201143
3 201837
4 201237
5 201132
6 201224
7 201122
8 202213
9 202010
10 20219
11 20158
12 20245
13 20034
14 20212
15 20212
16 20231
17 20061
18 20171
19
Choice-dependent Perceptual Biases
20161
20 20181

About Long Luu

Long Luu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (4 papers), Neural and Behavioral Psychology Studies (4 papers), Optical measurement and interference techniques (4 papers), Radio Frequency Integrated Circuit Design (2 papers), Context-Aware Activity Recognition Systems (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Optical Coherence Tomography Applications (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Media Technology (83 citations), Computer Vision and Pattern Recognition (166 citations), General Decision Sciences (9 citations), Cognitive Neuroscience (54 citations) and Radiology, Nuclear Medicine and Imaging (56 citations). Long Luu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Minh Vo, Zhaoyang Wang, Thang M. Hoang, Alan A. Stocker, Jessica C. Ramella‐Roman, Bing Pan, Scott A. Mathews, Jun Ma, Rubén Buendía and Faisal M. Khan. Their work appears in journals such as Journal of Vision, Biomedical Optics Express, Psychological Review, Journal of Cardiac Failure and Annals of Allergy Asthma & Immunology.

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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