Tzay Y. Young
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Control and Systems Engineering top 10%
- Statistics and Probability top 5%
- Co-authors
- Thomas W. CalvertW. H. HugginsWeizhao ZhaoM. D. GinsbergM. LichtensteinYuliang WangYuan DingP. Liu
- Topics
- Neural Networks and Applications (13 papers)Medical Image Segmentation Techniques (10 papers)Statistical Methods and Inference (6 papers)
- Journals
- CirculationIEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEE
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tzay Y. Young
47 papers receiving 667 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 266
- Signal Processing 115
- Control and Systems Engineering 94
- Statistics and Probability 75
Countries citing papers authored by Tzay Y. Young
This map shows the geographic impact of Tzay Y. Young'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 Tzay Y. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzay Y. Young more than expected).
Fields of papers citing papers by Tzay Y. Young
This network shows the impact of papers produced by Tzay Y. Young. 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 Tzay Y. Young. The network helps show where Tzay Y. Young may publish in the future.
Co-authorship network of co-authors of Tzay Y. Young
This figure shows the co-authorship network connecting the top 25 collaborators of Tzay Y. Young. A scholar is included among the top collaborators of Tzay Y. Young 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 Tzay Y. Young. Tzay Y. Young 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 | 11 | |
| 3 | 0 | |
| 4 | 21 | |
| 5 | Handbook of pattern recognition and image processing (vol. 2): computer vision | 22 |
| 6 | 62 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 34 | |
| 11 | 3 | |
| 12 | Classification, estimation, and pattern recognition | 225 |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 43 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 16 | |
| 20 | REPRESENTATION AND ANALYSIS OF SIGNALS. PART XIII. DISCRETE ORTHONORMAL EXPONENTIALS, | 1 |
About Tzay Y. Young
Tzay Y. Young is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 52 papers that have together received 756 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Medical Image Segmentation Techniques (10 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Signal Processing (115 citations) and Statistics and Probability (75 citations). Tzay Y. Young has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas W. Calvert, W. H. Huggins, Weizhao Zhao, M. D. Ginsberg, M. Lichtenstein, Yuliang Wang, Yuan Ding, P. Liu, Myron D. Ginsberg and Kai Yin. Their work appears in journals such as Circulation, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.
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.