Yu-Ting Chang
About
In The Last Decade
Yu-Ting Chang
7 papers receiving 301 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 241
- Artificial Intelligence 144
- Computational Mechanics 26
- Industrial and Manufacturing Engineering 19
- Media Technology 18
Countries citing papers authored by Yu-Ting Chang
This map shows the geographic impact of Yu-Ting Chang'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-Ting Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Ting Chang more than expected).
Fields of papers citing papers by Yu-Ting Chang
This network shows the impact of papers produced by Yu-Ting Chang. 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-Ting Chang. The network helps show where Yu-Ting Chang may publish in the future.
Co-authorship network of co-authors of Yu-Ting Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ting Chang. A scholar is included among the top collaborators of Yu-Ting Chang 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-Ting Chang. Yu-Ting Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Weakly-Supervised Semantic Segmentation via Self-Regularization | 1 |
| 2 | 1 | |
| 3 | 214 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 65 | |
| 7 | 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.