Gee-Sern Hsu
About
In The Last Decade
Gee-Sern Hsu
60 papers receiving 752 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 561
- Media Technology 293
- Biomedical Engineering 118
- Signal Processing 93
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Gee-Sern Hsu
This map shows the geographic impact of Gee-Sern Hsu'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 Gee-Sern Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gee-Sern Hsu more than expected).
Fields of papers citing papers by Gee-Sern Hsu
This network shows the impact of papers produced by Gee-Sern Hsu. 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 Gee-Sern Hsu. The network helps show where Gee-Sern Hsu may publish in the future.
Co-authorship network of co-authors of Gee-Sern Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Gee-Sern Hsu. A scholar is included among the top collaborators of Gee-Sern Hsu 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 Gee-Sern Hsu. Gee-Sern Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 26 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 35 | |
| 11 | 54 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 20 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 230 | |
| 19 | Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation | 3 |
| 20 | 4 |
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.