Shihong Lao
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 1%
- Artificial Intelligence top 2%
- Media Technology top 2%
- Aerospace Engineering top 5%
- Topics
- Video Surveillance and Tracking Methods (38 papers)Face and Expression Recognition (35 papers)Face recognition and analysis (27 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingImage and Vision Computing
- Partner nations
- JapanChinaUnited States
In The Last Decade
Shihong Lao
67 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 2.8k
- Signal Processing 638
- Artificial Intelligence 605
- Media Technology 227
- Aerospace Engineering 192
Countries citing papers authored by Shihong Lao
This map shows the geographic impact of Shihong Lao'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 Shihong Lao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihong Lao more than expected).
Fields of papers citing papers by Shihong Lao
This network shows the impact of papers produced by Shihong Lao. 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 Shihong Lao. The network helps show where Shihong Lao may publish in the future.
Co-authorship network of co-authors of Shihong Lao
This figure shows the co-authorship network connecting the top 25 collaborators of Shihong Lao. A scholar is included among the top collaborators of Shihong Lao 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 Shihong Lao. Shihong Lao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 104 | |
| 2 | Robust object recognition via third-party collaborative representation | 9 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Human Re-identification by Non-linear Distance Metric Learning | 1 |
| 6 | Perturbation Feature and It's Apprication to Shape Model Fitting for Facial Images | 1 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | Real-time audio-visual voice activity detection for speech recognition in noisy environments. | 9 |
| 11 | 49 | |
| 12 | 105 | |
| 13 | 1 | |
| 14 | 22 | |
| 15 | 3 | |
| 16 | Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamerabreakdown → | 452 |
| 17 | 233 | |
| 18 | 3 | |
| 19 | 34 | |
| 20 | A Fast 360-Degree Rotation Invariant Face Detection System | 6 |
About Shihong Lao
Shihong Lao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (38 papers), Face and Expression Recognition (35 papers) and Face recognition and analysis (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Signal Processing (638 citations) and Human-Computer Interaction (182 citations). Shihong Lao has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Haizhou Ai, Chang Huang, Haihong Zhang, Shiguang Shan, Xilin Chen, Lin Sun, Gang Pan, Zhaohui Wu, Junliang Xing and Meina Kan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Image and Vision Computing.
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.