Yewen Pu
Impact in
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- Computer Graphics and Visualization Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
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- Reinforcement Learning in Robotics 3
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Armando Solar-Lezama (8 shared papers)Wojciech Matusik (3 shared papers)Tao Du (3 shared papers)Karl D. D. Willis (4 shared papers)Joseph G. Lambourne (3 shared papers)Hang Chu (3 shared papers)Rastislav Bodík (4 shared papers)Saurabh Srivastava (4 shared papers)
- Journals
- ACM Transactions on Graphics (3 papers)ACM SIGPLAN Notices (2 papers)arXiv (Cornell University) (4 papers)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Yewen Pu
14 papers receiving 291 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 60
- Software 32
- Industrial and Manufacturing Engineering 78
- Geology 41
- Computational Mechanics 138
Countries citing papers authored by Yewen Pu
This map shows the geographic impact of Yewen Pu'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 Yewen Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yewen Pu more than expected).
Fields of papers citing papers by Yewen Pu
This network shows the impact of papers produced by Yewen Pu. 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 Yewen Pu. The network helps show where Yewen Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yewen Pu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2018 | 77 | |
| 3 | 2021 | 35 | |
| 4 | Verifiable Reinforcement Learning via Policy Extraction | 2018 | 22 |
| 5 | 2013 | 22 | |
| 6 | Write, Execute, Assess: Program Synthesis with a REPL | 2019 | 15 |
| 7 | 2011 | 14 | |
| 8 | Compiler Auto-Vectorization with Imitation Learning | 2019 | 13 |
| 9 | 2011 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2013 | 3 | |
| 13 | 2021 | 2 | |
| 14 | Representing Partial Programs with Blended Abstract Semantics | 2021 | 1 |
| 15 | 2025 | 0 |
About Yewen Pu
Yewen Pu is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 301 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), 3D Shape Modeling and Analysis (3 papers), Software Engineering Research (3 papers), Reinforcement Learning in Robotics (3 papers), Manufacturing Process and Optimization (3 papers), Software Testing and Debugging Techniques (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (60 citations), Software (32 citations), Industrial and Manufacturing Engineering (78 citations), Geology (41 citations) and Computational Mechanics (138 citations). Yewen Pu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Armando Solar-Lezama, Wojciech Matusik, Tao Du, Karl D. D. Willis, Joseph G. Lambourne, Hang Chu, Rastislav Bodík, Saurabh Srivastava, Andrew Spielberg and Jeevana Priya Inala. Their work appears in journals such as ACM Transactions on Graphics, ACM SIGPLAN Notices, arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).
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.