Peng Tu
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Software top 5%
Papers in
-
- Parallel Computing and Optimization Techniques 17
-
- Distributed systems and fault tolerance 6
- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 3
- Co-authors
- David Padua (6 shared papers)Hong Min Zhu (6 shared papers)Raymond Lo (5 shared papers)Fred Chow (5 shared papers)Shin-Ming Liu (5 shared papers)Robert E. Kennedy (5 shared papers)Xiaoqin Zeng (3 shared papers)David Padua (2 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)Scientific Reports (3 papers)ACM Transactions on Programming Languages and Systems (1 paper)Joule (1 paper)Molecules (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Peng Tu
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Hardware and Architecture 623
- Software 128
- Biomaterials 244
- Computer Networks and Communications 368
- Artificial Intelligence 338
Countries citing papers authored by Peng Tu
This map shows the geographic impact of Peng Tu'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 Peng Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Tu more than expected).
Fields of papers citing papers by Peng Tu
This network shows the impact of papers produced by Peng Tu. 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 Peng Tu. The network helps show where Peng Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 271 | |
| 2 | 2019 | 237 | |
| 3 | 2019 | 118 | |
| 4 | 2011 | 109 | |
| 5 | 1995 | 101 | |
| 6 | 2018 | 97 | |
| 7 | 1997 | 92 | |
| 8 | 1998 | 84 | |
| 9 | 1995 | 67 | |
| 10 | 1994 | 66 | |
| 11 | 1999 | 59 | |
| 12 | 2001 | 46 | |
| 13 | 1995 | 41 | |
| 14 | 2024 | 38 | |
| 15 | Advanced Program Restructuring for High-Performance Computers with Polaris | 2000 | 36 |
| 16 | Automatic array privatization and demand-driven symbolic analysis | 1996 | 32 |
| 17 | 2022 | 30 | |
| 18 | 2018 | 27 | |
| 19 | 1996 | 25 | |
| 20 | 1998 | 22 |
About Peng Tu
Peng Tu is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Computational Theory and Mathematics, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Logic, programming, and type systems (8 papers), Distributed systems and fault tolerance (6 papers), Advanced Data Storage Technologies (6 papers), Formal Methods in Verification (4 papers), Algorithms and Data Compression (3 papers), Distributed and Parallel Computing Systems (3 papers) and Geotechnical Engineering and Analysis (2 papers). The work is most often cited by research in Hardware and Architecture (623 citations), Software (128 citations), Biomaterials (244 citations), Computer Networks and Communications (368 citations) and Artificial Intelligence (338 citations). Peng Tu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include David Padua, Hong Min Zhu, Raymond Lo, Fred Chow, Shin-Ming Liu, Robert E. Kennedy, Xiaoqin Zeng, David Padua, Sun Chan and Yao Shen. Their work appears in journals such as ACM SIGPLAN Notices, Scientific Reports, ACM Transactions on Programming Languages and Systems, Joule and Molecules.
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.