Shang‐Hong Lai
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 1%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Co-authors
- Tyng-Luh LiuMing FangHwann-Tzong ChenBaba C. VemuriSzu-Hao HuangChia-Ming ChengChen-Kuo ChiangMichel Sarkis
- Topics
- Advanced Vision and Imaging (78 papers)Advanced Image and Video Retrieval Techniques (42 papers)Face recognition and analysis (40 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Biomedical Engineering
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shang‐Hong Lai
215 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 2.5k
- Signal Processing 456
- Media Technology 454
- Artificial Intelligence 268
- Aerospace Engineering 243
Countries citing papers authored by Shang‐Hong Lai
This map shows the geographic impact of Shang‐Hong 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 Shang‐Hong Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Hong Lai more than expected).
Fields of papers citing papers by Shang‐Hong Lai
This network shows the impact of papers produced by Shang‐Hong 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 Shang‐Hong Lai. The network helps show where Shang‐Hong Lai may publish in the future.
Co-authorship network of co-authors of Shang‐Hong Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Hong Lai. A scholar is included among the top collaborators of Shang‐Hong 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 Shang‐Hong Lai. Shang‐Hong Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 94 | |
| 7 | 104 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | Global optimization for spatio-temporally consistent view synthesis | 1 |
| 12 | Self Image Rectification for Uncalibrated Stereo Video with Varying Camera Motions and Zooming Effects. | 0 |
| 13 | 3 | |
| 14 | 120 | |
| 15 | 125 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 11 |
About Shang‐Hong Lai
Shang‐Hong Lai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 230 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (78 papers), Advanced Image and Video Retrieval Techniques (42 papers) and Face recognition and analysis (40 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Media Technology (454 citations) and Signal Processing (456 citations). Shang‐Hong Lai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tyng-Luh Liu, Ming Fang, Hwann-Tzong Chen, Baba C. Vemuri, Szu-Hao Huang, Chia-Ming Cheng, Chen-Kuo Chiang, Michel Sarkis, Che-Tsung Lin and Carol L. Novak. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.
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.