Lap-Fai Yu

3.6k total citations · 2 hit papers
82 papers, 2.4k citations indexed

About

Lap-Fai Yu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computational Mechanics. According to data from OpenAlex, Lap-Fai Yu has authored 82 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 19 papers in Human-Computer Interaction and 17 papers in Computational Mechanics. Recurrent topics in Lap-Fai Yu's work include 3D Shape Modeling and Analysis (16 papers), Computer Graphics and Visualization Techniques (14 papers) and Virtual Reality Applications and Impacts (13 papers). Lap-Fai Yu is often cited by papers focused on 3D Shape Modeling and Analysis (16 papers), Computer Graphics and Visualization Techniques (14 papers) and Virtual Reality Applications and Impacts (13 papers). Lap-Fai Yu collaborates with scholars based in United States, China and Singapore. Lap-Fai Yu's co-authors include Sai-Kit Yeung, Haikun Huang, Demetri Terzopoulos, Yongqi Zhang, Tony F. Chan, Chi–Keung Tang, Changyang Li, Stanley Osher, Wei Liang and Wanwan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and ACM Transactions on Graphics.

In The Last Decade

Lap-Fai Yu

77 papers receiving 2.3k citations

Hit Papers

A Review on Virtual Reality Skill Training Applications 2021 2026 2022 2024 2021 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review on Virtual Reality Skill Training Applications
    2021 232 citations Rawan Alghofaili, Yongqi Zhang et al. profile →
  2. Joint computational design of workspaces and workplans
    2021 171 citations Yongqi Zhang, Haikun Huang et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lap-Fai Yu United States 24 1.2k 541 384 330 314 82 2.4k
Andrew Liu United States 14 664 0.6× 286 0.5× 162 0.4× 269 0.8× 51 0.2× 43 2.0k
Miguel Cazorla Spain 22 775 0.6× 174 0.3× 170 0.4× 56 0.2× 199 0.6× 136 1.7k
Xenophon Zabulis Greece 25 1.1k 0.9× 254 0.5× 118 0.3× 77 0.2× 195 0.6× 138 2.2k
In‐Kwon Lee South Korea 18 734 0.6× 234 0.4× 483 1.3× 337 1.0× 46 0.1× 105 1.5k
Caroline Pantofaru United States 19 1.4k 1.2× 208 0.4× 71 0.2× 50 0.2× 67 0.2× 37 2.2k
Andrea Sanna Italy 23 859 0.7× 451 0.8× 57 0.1× 218 0.7× 73 0.2× 143 1.8k
Mohd Shahrizal Sunar Malaysia 20 754 0.6× 393 0.7× 45 0.1× 90 0.3× 87 0.3× 152 1.4k
Daniel F. Keefe United States 26 1.1k 0.9× 995 1.8× 128 0.3× 371 1.1× 62 0.2× 96 1.9k
Beatriz Sousa Santos Portugal 23 887 0.7× 692 1.3× 63 0.2× 91 0.3× 52 0.2× 198 2.2k
Nikos Nikolaidis Greece 31 3.0k 2.5× 220 0.4× 85 0.2× 118 0.4× 56 0.2× 217 3.8k

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-authorship network of co-authors of Lap-Fai Yu

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

All Works

20 of 20 papers shown
1.
Yu, Lap-Fai, et al.. (2025). Creating XR Educational Experiences for the Future – from Arts to Sciences. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–3.
2.
3.
Liou, L.L., et al.. (2024). An Evaluation Framework of Human-Robot Teaming for Navigation Among Movable Obstacles via Virtual Reality-Based Interactions. IEEE Robotics and Automation Letters. 9(4). 3411–3418. 2 indexed citations
4.
Wang, Hsueh‐Cheng, et al.. (2023). Fed-HANet: Federated Visual Grasping Learning for Human Robot Handovers. IEEE Robotics and Automation Letters. 8(6). 3772–3779. 8 indexed citations
5.
Martin, Joel, Haikun Huang, Ronald C. Johnson, et al.. (2023). Association between Self-reported Sleep Quality and Single-task Gait in Young Adults: A Study Using Machine Learning. Sleep Science. 16(4). e399–e407. 1 indexed citations
6.
Han, Bo, Songqing Chen, Joel Martin, et al.. (2023). Immersive Computing: Vision, Infrastructure, and Use Cases. 17. 1–10.
7.
Li, Wanwan, Changyang Li, Minyoung Kim, Haikun Huang, & Lap-Fai Yu. (2023). Location-Aware Adaptation of Augmented Reality Narratives. 1–15. 15 indexed citations
8.
Nguyen, Cuong, et al.. (2023). PoseVEC: Authoring Adaptive Pose-aware Effects using Visual Programming and Demonstrations. 1–15. 2 indexed citations
9.
Glas, Haye H., Joep Kraeima, Peter M. A. van Ooijen, et al.. (2021). Augmented Reality Visualization for Image-Guided Surgery: A Validation Study Using a Three-Dimensional Printed Phantom. Journal of Oral and Maxillofacial Surgery. 79(9). 1943.e1–1943.e10. 29 indexed citations
10.
Wang, Yujia, Wei Liang, Haikun Huang, et al.. (2021). Toward Automatic Audio Description Generation for Accessible Videos. 1–12. 46 indexed citations
11.
Liang, Wei, et al.. (2021). Scene-Aware Behavior Synthesis for Virtual Pets in Mixed Reality. 1–12. 14 indexed citations
12.
Yu, Lap-Fai, et al.. (2019). COMICガイド音声合成【JST・京大機械翻訳】. ACM Transactions on Graphics. 38(6). 1–14. 2 indexed citations
13.
Yu, Lap-Fai, et al.. (2019). Functional Workspace Optimization via Learning Personal Preferences from Virtual Experiences. IEEE Transactions on Visualization and Computer Graphics. 25(5). 1836–1845. 24 indexed citations
14.
Liang, Wei, et al.. (2018). Synthesizing Personalized Training Programs for Improving Driving Habits via Virtual Reality. 297–304. 59 indexed citations
15.
Gao, Tao, et al.. (2017). Perception Meets Examination: Studying Deceptive Behaviors in VR.. Cognitive Science. 4 indexed citations
16.
Jiang, Chenfanfu, Yixin Zhu, Siyuan Qi, et al.. (2017). Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes.. arXiv (Cornell University). 4 indexed citations
17.
Hua, Binh‐Son, Quang-Hieu Pham, Duc Thanh Nguyen, et al.. (2016). SceneNN: A Scene Meshes Dataset with aNNotations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 92–101. 186 indexed citations
18.
19.
Blower, Paul E., Chihae Yang, Michael A. Fligner, et al.. (2002). Pharmacogenomic analysis: correlating molecular substructure classes with microarray gene expression data. The Pharmacogenomics Journal. 2(4). 259–271. 76 indexed citations
20.

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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