Yu-Chuan Su
About
In The Last Decade
Yu-Chuan Su
20 papers receiving 300 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 282
- Aerospace Engineering 68
- Media Technology 46
- Artificial Intelligence 25
- Signal Processing 19
Countries citing papers authored by Yu-Chuan Su
This map shows the geographic impact of Yu-Chuan Su'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 Yu-Chuan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Chuan Su more than expected).
Fields of papers citing papers by Yu-Chuan Su
This network shows the impact of papers produced by Yu-Chuan Su. 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 Yu-Chuan Su. The network helps show where Yu-Chuan Su may publish in the future.
Co-authorship network of co-authors of Yu-Chuan Su
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Chuan Su. A scholar is included among the top collaborators of Yu-Chuan Su 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 Yu-Chuan Su. Yu-Chuan Su 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 | 8 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 74 | |
| 10 | 19 | |
| 11 | Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery | 5 |
| 12 | Learning Spherical Convolution for Fast Features from 360° Imagery | 69 |
| 13 | 70 | |
| 14 | Flat2Sphere: Learning Spherical Convolution for Fast Features from 360{\deg} Imagery | 0 |
| 15 | Transfer Learning for Video Recognition with Scarce Training Data. | 2 |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 2 |
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.