Lisa Wu
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
Papers in
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- Advanced Data Storage Technologies 8
- Distributed systems and fault tolerance 4
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- Cloud Computing and Resource Management 7
- Cryptography and Residue Arithmetic 3
- Co-authors
- Narayanan Sundaram (2 shared papers)Margaret Martonosi (2 shared papers)Tae Jun Ham (2 shared papers)Nadathur Satish (2 shared papers)Martha A. Kim (9 shared papers)Kenneth A. Ross (8 shared papers)Todd Austin (3 shared papers)T. Austin (1 shared paper)
- Journals
- IEEE Micro (2 papers)IEEE Computer Architecture Letters (1 paper)ACM Transactions on Computer Systems (1 paper)ACM SIGPLAN Notices (1 paper)ACM SIGARCH Computer Architecture News (3 papers)
- Partner nations
- United States
In The Last Decade
Lisa Wu
16 papers receiving 737 citations
Peers
Comparison fields: 5 of 41
- Hardware and Architecture 470
- Computer Networks and Communications 435
- Computer Vision and Pattern Recognition 296
- Artificial Intelligence 267
- Information Systems 185
Countries citing papers authored by Lisa Wu
This map shows the geographic impact of Lisa Wu'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 Lisa Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Wu more than expected).
Fields of papers citing papers by Lisa Wu
This network shows the impact of papers produced by Lisa Wu. 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 Lisa Wu. The network helps show where Lisa Wu may publish in the future.
Co-authors
The 19 scholars most cited alongside Lisa Wu, 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 | 2016 | 225 | |
| 2 | 2016 | 127 | |
| 3 | 2014 | 124 | |
| 4 | 2001 | 89 | |
| 5 | 2013 | 74 | |
| 6 | 2002 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2015 | 18 | |
| 9 | 2013 | 11 | |
| 10 | 2014 | 11 | |
| 11 | 2001 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2011 | 5 | |
| 16 | 2001 | 2 |
About Lisa Wu
Lisa Wu is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 770 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (8 papers), Cloud Computing and Resource Management (7 papers), Distributed systems and fault tolerance (4 papers), Cryptography and Residue Arithmetic (3 papers), Cryptographic Implementations and Security (3 papers), Coding theory and cryptography (3 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (470 citations), Computer Networks and Communications (435 citations), Computer Vision and Pattern Recognition (296 citations), Artificial Intelligence (267 citations) and Information Systems (185 citations). Lisa Wu has collaborated with scholars based in United States. Frequent co-authors include Narayanan Sundaram, Margaret Martonosi, Tae Jun Ham, Nadathur Satish, Martha A. Kim, Kenneth A. Ross, Todd Austin, T. Austin, Christopher Weaver and Stephen A. Edwards. Their work appears in journals such as IEEE Micro, IEEE Computer Architecture Letters, ACM Transactions on Computer Systems, ACM SIGPLAN Notices and ACM SIGARCH Computer Architecture News.
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.