Lap-Fai Yu

77 papers receiving 2.3k citations

Lap-Fai Yu's Hit Papers

A Review on Virtual Reality Skill Training Applications 2021 · 232 citations
2320+1+3Years since publication50100150200

Peers

Lap-Fai Yu
Comparison fields: 5 of 158
  • Human-Computer Interaction 541
  • Computer Graphics and Computer-Aided Design 330
  • Computer Vision and Pattern Recognition 1.2k
  • Geology 314
  • Architecture 32
Replace Andrew Liu with:
Andrew Liu United States
Daniel F. Keefe United States
Andrea Sanna Italy
Mohd Shahrizal Sunar Malaysia
In‐Kwon Lee South Korea
Xenophon Zabulis Greece
Miguel Cazorla Spain
Javier González-Jiménez Spain
Beatriz Sousa Santos Portugal
Caroline Pantofaru United States
Lap-Fai Yu relative to Andrew Liu United States Andrew Liu's profile →
Citations per field
00.5×10.7×
Andrew Liu · 1×
Citations per year

Countries citing papers authored by Lap-Fai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lap-Fai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lap-Fai Yu. 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 Lap-Fai Yu. The network helps show where Lap-Fai Yu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review on Virtual Reality Skill Training Applications
Hit paper breakdown →
2021232
2 2011203
3 2016186
4 2011174
5
Joint computational design of workspaces and workplans
Hit paper breakdown →
2021171
6 2017155
7 201389
8 200276
9 201668
10 201960
11 201859
12 199652
13 201852
14 202146
15 202246
16 201535
17 202129
18 201928
19 201227
20 201727

About Lap-Fai Yu

Lap-Fai Yu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computational Mechanics, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (16 papers), Computer Graphics and Visualization Techniques (14 papers), Virtual Reality Applications and Impacts (13 papers), Human Motion and Animation (10 papers), Augmented Reality Applications (10 papers), Robotics and Sensor-Based Localization (9 papers), Human Pose and Action Recognition (7 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Human-Computer Interaction (541 citations), Computer Graphics and Computer-Aided Design (330 citations), Computer Vision and Pattern Recognition (1.2k citations), Geology (314 citations) and Architecture (32 citations). Lap-Fai Yu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Sai-Kit Yeung, Haikun Huang, Demetri Terzopoulos, Yongqi Zhang, Tony F. Chan, Chi–Keung Tang, Stanley Osher, Changyang Li, Wei Liang and Wanwan Li. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE Robotics and Automation Letters, Chromatographia and Computer Vision and Image Understanding.

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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