Di-Yuan Tzeng
- Atomic and Molecular Physics, and Optics top 10%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Media Technology top 5%
- Archeology top 5%
- Co-authors
- Roy S. BernsFrancisco H. ImaiPeter D. BurnsMitchell R. RosenSeong Jun ParkJan P. Allebach
- Topics
- Color Science and Applications (9 papers)Color perception and design (4 papers)Image Enhancement Techniques (4 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsMedia TechnologyComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Image ProcessingColor Research & ApplicationColor and Imaging Conference
- Partner nations
- United States
In The Last Decade
Di-Yuan Tzeng
8 papers receiving 240 citations
Peers
Comparison fields: 5 of 79
- Atomic and Molecular Physics, and Optics 257
- Computer Vision and Pattern Recognition 144
- Social Psychology 87
- Media Technology 67
- Archeology 53
Countries citing papers authored by Di-Yuan Tzeng
This map shows the geographic impact of Di-Yuan Tzeng'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 Di-Yuan Tzeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di-Yuan Tzeng more than expected).
Fields of papers citing papers by Di-Yuan Tzeng
This network shows the impact of papers produced by Di-Yuan Tzeng. 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 Di-Yuan Tzeng. The network helps show where Di-Yuan Tzeng may publish in the future.
Co-authorship network of co-authors of Di-Yuan Tzeng
This figure shows the co-authorship network connecting the top 25 collaborators of Di-Yuan Tzeng. A scholar is included among the top collaborators of Di-Yuan Tzeng 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 Di-Yuan Tzeng. Di-Yuan Tzeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 172 | |
| 3 | 11 | |
| 4 | Spectral-Based Ink Selection for Multiple-Ink Printing II. Optimal Ink Selection(Printing)(Report on CIC) | 0 |
| 5 | 45 | |
| 6 | Spectral-based color separation algorithm development for multiple-ink color reproduction | 38 |
| 7 | 18 | |
| 8 | 33 | |
| 9 | 23 |
About Di-Yuan Tzeng
Di-Yuan Tzeng is a scholar working on Archeology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 9 papers that have together received 342 indexed citations. Recurring topics across this work include Color Science and Applications (9 papers), Color perception and design (4 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (257 citations), Media Technology (67 citations) and Computer Vision and Pattern Recognition (144 citations). Di-Yuan Tzeng has collaborated with scholars based in United States. Frequent co-authors include Roy S. Berns, Francisco H. Imai, Peter D. Burns, Mitchell R. Rosen, Seong Jun Park and Jan P. Allebach. Their work appears in journals such as IEEE Transactions on Image Processing, Color Research & Application and Color and Imaging Conference.
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.