Kwan-Yee Lin

1.7k citations
18 papers · 598 indexed · h-index 12
Topics
Advanced Vision and Imaging (8 papers)Human Pose and Action Recognition (7 papers)Computer Graphics and Visualization Techniques (7 papers)
Journals
IEEE Transactions on Pattern Analysis and Machine Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)The HKU Scholars Hub (University of Hong Kong)

In The Last Decade

Kwan-Yee Lin

18 papers receiving 584 citations

Peers

Kwan-Yee Lin
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 502
  • Computational Mechanics 144
  • Media Technology 94
  • Aerospace Engineering 83
  • Computer Graphics and Computer-Aided Design 76
Replace Jean-Sébastien Franco with:
Jean-Sébastien Franco France
Jordi Salvador Spain
Nianjuan Jiang Singapore
Ignas Budvytis United Kingdom
Chao-Hui Shen China
Gaku Narita Japan
Yonggen Ling China
J. Starck United Kingdom
Visesh Chari India
Zizhao Wu China
Kwan-Yee Lin relative to Jean-Sébastien Franco France Jean-Sébastien Franco's profile →
Citations per field
00.5×7.4×
Jean-Sébastien Franco · 1×
Citations per year

Countries citing papers authored by Kwan-Yee Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kwan-Yee Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwan-Yee Lin. 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 Kwan-Yee Lin. The network helps show where Kwan-Yee Lin may publish in the future.

Co-authorship network of co-authors of Kwan-Yee Lin

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 11
3 6
4 25
5 4
6 19
7 6
8 32
9 36
10 49
11 43
12 14
13 77
14 73
15 32
16 11
17
Self-supervised Deep Multiple Choice Learning Network for Blind Image Quality Assessment.
2
18 157

About Kwan-Yee Lin

Kwan-Yee Lin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 18 papers that have together received 598 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Human Pose and Action Recognition (7 papers) and Computer Graphics and Visualization Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (502 citations), Computer Graphics and Computer-Aided Design (76 citations) and Geology (72 citations). Kwan-Yee Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guanxiang Wang, Hongsheng Li, Xiaogang Wang, Chen Qian, Qian Chen, Wentao Liu, Liang Lin, Xiaokang Chen, Gang Zeng and Xipeng Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and The HKU Scholars Hub (University of Hong Kong).

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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