Yu‐Kun Lai

11.0k total citations · 5 hit papers
293 papers, 7.0k citations indexed

About

Yu‐Kun Lai is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yu‐Kun Lai has authored 293 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Computer Vision and Pattern Recognition, 112 papers in Computational Mechanics and 92 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yu‐Kun Lai's work include 3D Shape Modeling and Analysis (107 papers), Computer Graphics and Visualization Techniques (85 papers) and Advanced Vision and Imaging (83 papers). Yu‐Kun Lai is often cited by papers focused on 3D Shape Modeling and Analysis (107 papers), Computer Graphics and Visualization Techniques (85 papers) and Advanced Vision and Imaging (83 papers). Yu‐Kun Lai collaborates with scholars based in United Kingdom, China and United States. Yu‐Kun Lai's co-authors include Paul L. Rosin, Lin Gao, Shi‐Min Hu, Yong‐Jin Liu, Jufeng Yang, Ming‐Ming Cheng, Ralph R. Martin, Shihong Xia, Chen Yang and Xianfang Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Yu‐Kun Lai

276 papers receiving 6.7k citations

Hit Papers

Registration of 3D Point Clouds and Meshes: A Survey from... 2012 2026 2016 2021 2012 2019 2020 2019 2022 100 200 300 400
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. Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
    2012 452 citations Yu‐Kun Lai, Paul L. Rosin et al. IEEE Transactions on Visualization and Computer Graphics profile →
  2. IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
    2019 311 citations Xiaoping Wu, Yu‐Kun Lai et al. profile →
  3. An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals
    2020 236 citations Cuixia Ma, Yu‐Kun Lai et al. profile →
  4. VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation
    2019 184 citations Lin Gao, Yu‐Kun Lai et al. ORCA Online Research @Cardiff (Cardiff University) profile →
  5. NeRF-Editing: Geometry Editing of Neural Radiance Fields
    2022 140 citations Yu-Jie Yuan, Yu‐Kun Lai et al. profile →

Peers

Yu‐Kun Lai
Hao Li China
Michael Zollhöfer Germany
Adam Finkelstein United States
Marc Stamminger Germany
George Drettakis France
Paul Debevec United States
Dani Lischinski Israel
David W. Jacobs United States
Aaron Hertzmann United States
Shi‐Min Hu China
Hao Li China
Yu‐Kun Lai
Citations per year, relative to Yu‐Kun Lai Yu‐Kun Lai (= 1×) peers Hao Li

Countries citing papers authored by Yu‐Kun Lai

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Kun Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Kun Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Kun Lai. A scholar is included among the top collaborators of Yu‐Kun 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 Yu‐Kun Lai. Yu‐Kun Lai 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.
Wang, Yue, Teng Hu, Ran Yi, et al.. (2025). AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting. IEEE Transactions on Visualization and Computer Graphics. 31(12). 10897–10911.
2.
Ji, Ze, et al.. (2025). Differentiable physics-based system identification for robotic manipulation of elastoplastic materials. The International Journal of Robotics Research. 44(13). 2126–2155.
3.
Lai, Yu‐Kun, et al.. (2025). A Physics-Informed Demonstration-Guided Learning Framework for Granular Material Manipulation. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–15.
4.
Yang, Guowei, et al.. (2024). Generating animatable 3D cartoon faces from single portraits. Virtual Reality & Intelligent Hardware. 6(4). 292–307. 3 indexed citations
5.
Zhang, Yun, Yu‐Kun Lai, Lang Nie, Fang‐Lue Zhang, & Lin Xu. (2024). RecStitchNet: Learning to stitch images with rectangular boundaries. Computational Visual Media. 10(4). 687–703. 3 indexed citations
6.
Li, Chunpeng, Weiwei Dai, Lingxiao Zhang, et al.. (2024). Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images. Scientific Reports. 14(1). 18432–18432. 4 indexed citations
7.
Deng, Xiaoming, Yu‐Kun Lai, Cuixia Ma, et al.. (2024). SpeciFingers. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(1). 1–28. 1 indexed citations
8.
Gao, Lin, et al.. (2024). Real-time Large-scale Deformation of Gaussian Splatting. ACM Transactions on Graphics. 43(6). 1–17. 4 indexed citations
9.
Lai, Yu‐Kun, et al.. (2023). STATE: Learning structure and texture representations for novel view synthesis. Computational Visual Media. 9(4). 767–786. 3 indexed citations
10.
Li, Bo, et al.. (2023). Controllable facial attribute editing via Gaussian mixture model disentanglement. Digital Signal Processing. 134. 103916–103916. 3 indexed citations
11.
Wang, Yi, et al.. (2023). TSNeRF: Text-driven stylized neural radiance fields via semantic contrastive learning. Computers & Graphics. 116. 102–114. 4 indexed citations
12.
Jin, Yao, et al.. (2023). A variational approach for feature-aware B-spline curve design on surface meshes. The Visual Computer. 39(8). 3767–3781. 2 indexed citations
13.
Wu, Tong, Lin Gao, Lingxiao Zhang, Yu‐Kun Lai, & Hao Zhang. (2023). STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15680–15693. 2 indexed citations
14.
Huang, Haibin, et al.. (2023). Towards Practical Capture of High-Fidelity Relightable Avatars. ORCA Online Research @Cardiff (Cardiff University). 1–11. 7 indexed citations
15.
Liu, Zitao, et al.. (2022). Human Motion Transfer With 3D Constraints and Detail Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 4682–4693. 7 indexed citations
16.
Zhang, Yun, Fang‐Lue Zhang, Yu‐Kun Lai, & Zhe Zhu. (2021). Efficient propagation of sparse edits on 360∘ panoramas. Computers & Graphics. 96. 61–70. 5 indexed citations
17.
Wu, Xiaoping, Jianlong Chang, Yu‐Kun Lai, Jufeng Yang, & Qi Tian. (2021). BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data. IEEE Transactions on Image Processing. 30. 6512–6527. 8 indexed citations
18.
Lai, Yu‐Kun, et al.. (2020). Synthesizing Mesh Deformation Sequences With Bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics. 28(4). 1906–1916. 3 indexed citations
19.
Yi, Ran, Yong‐Jin Liu, Yu‐Kun Lai, & Paul L. Rosin. (2020). Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping. ORCA Online Research @Cardiff (Cardiff University). 8214–8222. 45 indexed citations
20.
She, Dongyu, Jufeng Yang, Ming‐Ming Cheng, et al.. (2019). WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia. 22(5). 1358–1371. 74 indexed citations

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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