Lih‐Yuan Deng
- Management Science and Operations Research top 0.5%
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Boxin TangN. J. A. SloaneA. HedayatJohn StufkenHongquan XuE. Olusegun GeorgeYuan‐Ho ChenChung‐Yi Li
- Topics
- Chaos-based Image/Signal Encryption (23 papers)Cryptography and Residue Arithmetic (10 papers)Optimal Experimental Design Methods (9 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Lih‐Yuan Deng
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Management Science and Operations Research 777
- Computational Theory and Mathematics 722
- Artificial Intelligence 395
- Electrical and Electronic Engineering 379
- Computer Vision and Pattern Recognition 273
Countries citing papers authored by Lih‐Yuan Deng
This map shows the geographic impact of Lih‐Yuan Deng'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 Lih‐Yuan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lih‐Yuan Deng more than expected).
Fields of papers citing papers by Lih‐Yuan Deng
This network shows the impact of papers produced by Lih‐Yuan Deng. 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 Lih‐Yuan Deng. The network helps show where Lih‐Yuan Deng may publish in the future.
Co-authorship network of co-authors of Lih‐Yuan Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Lih‐Yuan Deng. A scholar is included among the top collaborators of Lih‐Yuan Deng 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 Lih‐Yuan Deng. Lih‐Yuan Deng 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 | 7 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 119 | |
| 8 | 37 | |
| 9 | Orthogonal Arrays: Theory and Applicationsbreakdown → | 743 |
| 10 | 11 | |
| 11 | GENERALIZED RESOLUTION AND MINIMUM ABERRATION CRITERIA FOR PLACKETT-BURMAN AND OTHER NONREGULAR FACTORIAL DESIGNS | 122 |
| 12 | STATISTICAL JUSTIFICATION OF COMBINATION GENERATORS | 8 |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 17 | |
| 20 | 3 |
About Lih‐Yuan Deng
Lih‐Yuan Deng is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (23 papers), Cryptography and Residue Arithmetic (10 papers) and Optimal Experimental Design Methods (9 papers). The work is most often cited by research in Management Science and Operations Research (777 citations), Computational Theory and Mathematics (722 citations) and Statistics, Probability and Uncertainty (241 citations). Lih‐Yuan Deng has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Boxin Tang, N. J. A. Sloane, A. Hedayat, John Stufken, Hongquan Xu, E. Olusegun George, Yuan‐Ho Chen, Chung‐Yi Li, Tsin‐Yuan Chang and Dennis K. J. Lin. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrika.
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.