Kuan-Hui Lee
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality top 10%
- Computer Networks and Communications
- Co-authors
- Jenq–Neng HwangJ.W. PittonRicardo L. de QueirozZheng TangJen‐Hui ChuangZhijun FangShih-Chia HuangBo‐Hao Chen
- Topics
- Video Surveillance and Tracking Methods (13 papers)Advanced Vision and Imaging (5 papers)Robotics and Sensor-Based Localization (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityAerospace Engineering
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Multimedia
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Kuan-Hui Lee
13 papers receiving 289 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 254
- Aerospace Engineering 71
- Electrical and Electronic Engineering 50
- Safety, Risk, Reliability and Quality 34
- Computer Networks and Communications 30
Countries citing papers authored by Kuan-Hui Lee
This map shows the geographic impact of Kuan-Hui Lee'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 Kuan-Hui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan-Hui Lee more than expected).
Fields of papers citing papers by Kuan-Hui Lee
This network shows the impact of papers produced by Kuan-Hui Lee. 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 Kuan-Hui Lee. The network helps show where Kuan-Hui Lee may publish in the future.
Co-authorship network of co-authors of Kuan-Hui Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan-Hui Lee. A scholar is included among the top collaborators of Kuan-Hui Lee 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 Kuan-Hui Lee. Kuan-Hui Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 40 | |
| 3 | 18 | |
| 4 | 21 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 103 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | Effective car video retrieval using feature matching in a mobile video cloud | 0 |
| 15 | 0 |
About Kuan-Hui Lee
Kuan-Hui Lee is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 15 papers that have together received 298 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Safety, Risk, Reliability and Quality (34 citations) and Aerospace Engineering (71 citations). Kuan-Hui Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jenq–Neng Hwang, J.W. Pitton, Ricardo L. de Queiroz, Zheng Tang, Jen‐Hui Chuang, Zhijun Fang, Shih-Chia Huang, Bo‐Hao Chen, Wanggen Wan and Li Hou. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.
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.