Shin-Yee Lu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Algorithms and Data Compression (4 papers)semigroups and automata theory (2 papers)DNA and Biological Computing (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceGeophysicsIEEE Transactions on Computers
- Partner nations
- United States
In The Last Decade
Shin-Yee Lu
10 papers receiving 362 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 129
- Information Systems 71
- Signal Processing 68
- Computational Theory and Mathematics 60
Countries citing papers authored by Shin-Yee Lu
This map shows the geographic impact of Shin-Yee Lu'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 Shin-Yee Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin-Yee Lu more than expected).
Fields of papers citing papers by Shin-Yee Lu
This network shows the impact of papers produced by Shin-Yee Lu. 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 Shin-Yee Lu. The network helps show where Shin-Yee Lu may publish in the future.
Co-authorship network of co-authors of Shin-Yee Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Shin-Yee Lu. A scholar is included among the top collaborators of Shin-Yee Lu 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 Shin-Yee Lu. Shin-Yee Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Measuring consensus effectiveness by a generalized entropy criterion | 11 |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 46 | |
| 6 | 70 | |
| 7 | 149 | |
| 8 | 26 | |
| 9 | 46 | |
| 10 | 35 |
About Shin-Yee Lu
Shin-Yee Lu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 406 indexed citations. Recurring topics across this work include Algorithms and Data Compression (4 papers), semigroups and automata theory (2 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Artificial Intelligence (261 citations), Signal Processing (68 citations) and Computer Vision and Pattern Recognition (129 citations). Shin-Yee Lu has collaborated with scholars based in United States. Frequent co-authors include King Sun Fu, King‐Sun Fu, H.E. Stephanou, Mark Lowry, Oliver T. Strand and M.D. Pocha. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Geophysics and IEEE Transactions on Computers.
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.