Chiou‐Yng Lee

2.1k total citations
117 papers, 1.7k citations indexed

About

Chiou‐Yng Lee is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Chiou‐Yng Lee has authored 117 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 104 papers in Information Systems and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Chiou‐Yng Lee's work include Coding theory and cryptography (107 papers), Cryptography and Residue Arithmetic (103 papers) and Cryptography and Data Security (46 papers). Chiou‐Yng Lee is often cited by papers focused on Coding theory and cryptography (107 papers), Cryptography and Residue Arithmetic (103 papers) and Cryptography and Data Security (46 papers). Chiou‐Yng Lee collaborates with scholars based in Taiwan, United States and Singapore. Chiou‐Yng Lee's co-authors include Y.-F. Tzeng, Che Wun Chiou, Pramod Kumar Meher, Jeng‐Shyang Pan, Jiafeng Xie, Jau‐Yien Lee, Mehran Mozaffari Kermani, Reza Azarderakhsh, Guochuan Zhang and Siavash Bayat-Sarmadi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and Electronics Letters.

In The Last Decade

Chiou‐Yng Lee

112 papers receiving 1.6k citations

Peers

Chiou‐Yng Lee

EEE

Tsung‐Wei Huang United States

Amir Sabbagh Molahosseini Iran

Ebrahim M. Songhori United States

Daniel Dvorak United States

Keisuke Nakano Japan

Donghwan Shin South Korea

Wai Kit Wong Malaysia

Sen Zhao China

Kyle Guan United States

Manuel Barbosa Portugal

Tsung‐Wei Huang United States

Chiou‐Yng Lee

249 ×0.2

141 ×0.1

1.0k ×2.2

EEE

333 ×1.3

393 ×1.5

Citations per year, relative to Chiou‐Yng Lee Chiou‐Yng Lee (= 1×) peers Tsung‐Wei Huang

Countries citing papers authored by Chiou‐Yng Lee

Since Specialization

Citations

This map shows the geographic impact of Chiou‐Yng Lee'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 Chiou‐Yng Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiou‐Yng Lee more than expected).

Fields of papers citing papers by Chiou‐Yng Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiou‐Yng Lee. 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 Chiou‐Yng Lee. The network helps show where Chiou‐Yng Lee may publish in the future.

Co-authorship network of co-authors of Chiou‐Yng Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chiou‐Yng Lee. A scholar is included among the top collaborators of Chiou‐Yng Lee 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 Chiou‐Yng Lee. Chiou‐Yng Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xie, Jiafeng, Chiou‐Yng Lee, Pramod Kumar Meher, & Zhi‐Hong Mao. (2019). Novel Bit-Parallel and Digit-Serial Systolic Finite Field Multipliers Over $GF(2^m)$ Based on Reordered Normal Basis. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27(9). 2119–2130. 14 indexed citations

Lee, Chiou‐Yng & Jiafeng Xie. (2019). High Capability and Low-Complexity: Novel Fault Detection Scheme for Finite Field Multipliers over GF(2^m) based on MSPB. 18. 21–30. 5 indexed citations

Xie, Jiafeng & Chiou‐Yng Lee. (2019). LSM. 343–346. 1 indexed citations

Xie, Jiafeng, Pramod Kumar Meher, Xiaojun Zhou, & Chiou‐Yng Lee. (2018). Low Register-Complexity Systolic Digit-Serial Multiplier Over Based on Trinomials. 4(4). 773–783. 8 indexed citations

Chiou, Che Wun, et al.. (2018). High‐throughput Dickson basis multiplier with a trinomial for lightweight cryptosystems. IET Computers & Digital Techniques. 12(5). 187–191. 4 indexed citations

Azarderakhsh, Reza, Mehran Mozaffari Kermani, Siavash Bayat-Sarmadi, & Chiou‐Yng Lee. (2014). Systolic Gaussian Normal Basis Multiplier Architectures Suitable for High-Performance Applications. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23(9). 1969–1972. 15 indexed citations

Lee, Chiou‐Yng, et al.. (2014). Low-Complexity Digit-Serial and Scalable SPB/GPB Multipliers Over Large Binary Extension Fields Using (b,2)-Way Karatsuba Decomposition. IEEE Transactions on Circuits and Systems I Regular Papers. 61(11). 3115–3124. 23 indexed citations

Pan, Jeng‐Shyang, et al.. (2012). Low-Latency Digit-Serial Systolic Double Basis Multiplier over <formula formulatype="inline"> <tex Notation="TeX">$\mbi GF{(2^m})$</tex> </formula> Using Subquadratic Toeplitz Matrix-Vector Product Approach. IEEE Transactions on Computers. 63(5). 1169–1181. 32 indexed citations

Chiou, Che Wun, et al.. (2012). Low-complexity Gaussian normal basis multiplier over GF(2 ^m ). IET Information Security. 6(4). 310–317. 7 indexed citations

10.

Chiou, Che Wun, Chiou‐Yng Lee, & Yun‐Chi Yeh. (2011). Multiplexer implementation of low-complexity polynomial basis multiplier in using all one polynomial. Information Processing Letters. 111(21-22). 1044–1047. 3 indexed citations

11.

Chang, Polun, et al.. (2010). Efficient digit serial dual basis GF(2<sup>m</sup>) multiplier. 150. 166–170. 1 indexed citations

12.

Meher, Pramod Kumar, Yajun Ha, & Chiou‐Yng Lee. (2009). An optimized design for serial-parallel finite field multiplication over GF(2 m ) based on all-one polynomials. Asia and South Pacific Design Automation Conference. 210–215. 3 indexed citations

13.

Lee, Chiou‐Yng, Pramod Kumar Meher, & Jagdish C. Patra. (2009). Concurrent Error Detection in Bit-Serial Normal Basis Multiplication Over ${\rm GF}(2^{m})$ Using Multiple Parity Prediction Schemes. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 18(8). 1234–1238. 18 indexed citations

14.

Meher, Pramod Kumar & Chiou‐Yng Lee. (2009). Scalable serial-parallel multiplier over GF(2<sup>m</sup>) by hierarchical pre-reduction and input decomposition. 186 2. 2910–2913. 2 indexed citations

15.

Lee, Chiou‐Yng. (2009). Concurrent error detection architectures for Gaussian normal basis multiplication over GF(2 ). Integration. 43(1). 113–123. 14 indexed citations

16.

Chiou, Che Wun & Chiou‐Yng Lee. (2004). Multiplexer-based double-exponentiation for normal basis of GF(2m). Computers & Security. 24(1). 83–86. 18 indexed citations

17.

Lee, Chiou‐Yng. (2003). Low-Latency Bit-Parallel Systolic Multiplier for Irreducible x m + x n + 1 with GCD ( m , n ) = 1. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(11). 2844–2852. 18 indexed citations

18.

Lee, Chiou‐Yng, et al.. (2002). A new multi-path tree-search FSVQ architecture for image/video sequence coding. 3. 1628–1631. 1 indexed citations

19.

Lee, Chiou‐Yng, et al.. (2001). New bit-parallel systolic multipliers for a class of GF(2m).. International Symposium on Circuits and Systems. 578–581. 5 indexed citations

20.

Huang, Nen-Fu, et al.. (2000). Computation of AB^2 Multiplier in GF(2^m)Using an Efficient Low-Complexity Cellular Architecture. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(12). 2657–2663. 18 indexed citations

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.

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