Guei-Yuan Lueh
- Hardware and Architecture top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Michał CierniakJames M. StichnothAli-Reza Adl-TabatabaiRoy Dz-Ching JuGilberto ContrerasMargaret MartonosiShih-Wei LiaoPerry H. Wang
- Topics
- Parallel Computing and Optimization Techniques (30 papers)Embedded Systems Design Techniques (12 papers)Logic, programming, and type systems (8 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Programming Languages and SystemsACM SIGOPS Operating Systems Review
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Guei-Yuan Lueh
28 papers receiving 616 citations
Peers
Comparison fields: 5 of 28
- Hardware and Architecture 583
- Computer Networks and Communications 358
- Artificial Intelligence 239
- Information Systems 105
- Electrical and Electronic Engineering 104
Countries citing papers authored by Guei-Yuan Lueh
This map shows the geographic impact of Guei-Yuan Lueh'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 Guei-Yuan Lueh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guei-Yuan Lueh more than expected).
Fields of papers citing papers by Guei-Yuan Lueh
This network shows the impact of papers produced by Guei-Yuan Lueh. 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 Guei-Yuan Lueh. The network helps show where Guei-Yuan Lueh may publish in the future.
Co-authorship network of co-authors of Guei-Yuan Lueh
This figure shows the co-authorship network connecting the top 25 collaborators of Guei-Yuan Lueh. A scholar is included among the top collaborators of Guei-Yuan Lueh 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 Guei-Yuan Lueh. Guei-Yuan Lueh 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 | 10 | |
| 3 | 106 | |
| 4 | 24 | |
| 5 | 70 | |
| 6 | 3 | |
| 7 | Parallel Processing of A Raytracer for GPU vs. for CPU. | 1 |
| 8 | 5 | |
| 9 | 64 | |
| 10 | 1 | |
| 11 | 27 | |
| 12 | 121 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 38 | |
| 16 | 128 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | Modeling Instruction-Level Parallelism for Software Pipelining | 1 |
| 20 | 1 |
About Guei-Yuan Lueh
Guei-Yuan Lueh is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 31 papers that have together received 680 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (30 papers), Embedded Systems Design Techniques (12 papers) and Logic, programming, and type systems (8 papers). The work is most often cited by research in Hardware and Architecture (583 citations), Software (77 citations) and Computer Networks and Communications (358 citations). Guei-Yuan Lueh has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michał Cierniak, James M. Stichnoth, Ali-Reza Adl-Tabatabai, Roy Dz-Ching Ju, Gilberto Contreras, Margaret Martonosi, Shih-Wei Liao, Perry H. Wang, Gautham N. Chinya and Xinmin Tian. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and ACM SIGOPS Operating Systems Review.
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.