Kevin Lai

2.8k citations
14 papers · 1.8k indexed · 1 hit paper · h-index 10
Topics
Advanced Image and Video Retrieval Techniques (9 papers)Robotics and Sensor-Based Localization (8 papers)Visual Attention and Saliency Detection (3 papers)

In The Last Decade

Kevin Lai

13 papers receiving 1.7k citations

Hit Papers

A large-scale hierarchical multi-view RGB-D object dataset20112026201620212011250500750

Peers

Kevin Lai
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 1.5k
  • Aerospace Engineering 842
  • Geology 308
  • Artificial Intelligence 273
  • Control and Systems Engineering 169
Replace Michael Krainin with:
Michael Krainin United States
Matthias NieBner Germany
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Kevin Lai relative to Michael Krainin United States Michael Krainin's profile →
Citations per field
00.5×3.0×
Michael Krainin · 1×
Citations per year

Countries citing papers authored by Kevin Lai

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Lai

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1
Dynamic Visualization of Motion for Student-Generated Graphs.
1
2 195
3 4
4 10
5 119
6
A large-scale hierarchical multi-view RGB-D object datasetbreakdown →
867
7 129
8 65
9 126
10 115
11 44
12 116
13
Curious George: The UBC Semantic Robot Vision System
0
14
A Numerical Study of Boson Stars
9

About Kevin Lai

Kevin Lai is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (8 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Geology (308 citations) and Aerospace Engineering (842 citations). Kevin Lai has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Dieter Fox, Liefeng Bo, Xiaofeng Ren, David Lowe, James J. Little, David Meger, Per-Erik Forssén, W. G. Unruh, Scott and Hsiao‐Ching She. Their work appears in journals such as PLoS ONE, The International Journal of Robotics Research and Robotics and Autonomous Systems.

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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