David J. Wu
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 0.5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
Papers in
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- Cryptography and Data Security 52
- Privacy-Preserving Technologies in Data 21
- Cryptographic Implementations and Security 11
- Adversarial Robustness in Machine Learning 5
- Coding theory and cryptography 5
- Internet Traffic Analysis and Secure E-voting 5
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- Complexity and Algorithms in Graphs 23
- Co-authors
- Tao Wang (3 shared papers)Adam Coates (3 shared papers)Andrew Y. Ng (2 shared papers)Kevin Lewi (4 shared papers)Dan Boneh (10 shared papers)Seongseop Kim (10 shared papers)Brody Huval (1 shared paper)Bryan Catanzaro (1 shared paper)
- Journals
- Lecture notes in computer science (41 papers)Journal of Cryptology (2 papers)The European Physical Journal B (2 papers)Nature Computational Science (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
David J. Wu
65 papers receiving 3.0k citations
David J. Wu's Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 1.9k
- Media Technology 320
- Computational Theory and Mathematics 481
- Information Systems 488
Countries citing papers authored by David J. Wu
This map shows the geographic impact of David J. 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 David J. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Wu more than expected).
Fields of papers citing papers by David J. Wu
This network shows the impact of papers produced by David J. 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 David J. Wu. The network helps show where David J. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. 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
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | End-to-End Text Recognition with Convolutional Neural Networks Hit paper breakdown → | 2012 | 614 |
| 2 | Deep learning with COTS HPC systems Hit paper breakdown → | 2013 | 410 |
| 3 | 2011 | 278 | |
| 4 | 2016 | 146 | |
| 5 | 2018 | 139 | |
| 6 | 2016 | 136 | |
| 7 | 2013 | 133 | |
| 8 | 2016 | 130 | |
| 9 | 2021 | 100 | |
| 10 | 2017 | 97 | |
| 11 | 2018 | 95 | |
| 12 | 2022 | 58 | |
| 13 | 2016 | 57 | |
| 14 | 2017 | 51 | |
| 15 | 2023 | 42 | |
| 16 | 2017 | 41 | |
| 17 | 2022 | 40 | |
| 18 | 2017 | 39 | |
| 19 | 2018 | 39 | |
| 20 | 2017 | 33 |
About David J. Wu
David J. Wu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (52 papers), Complexity and Algorithms in Graphs (23 papers), Privacy-Preserving Technologies in Data (21 papers), Cryptographic Implementations and Security (11 papers), Chaos-based Image/Signal Encryption (8 papers), Adversarial Robustness in Machine Learning (5 papers), Coding theory and cryptography (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.9k citations), Media Technology (320 citations), Computational Theory and Mathematics (481 citations) and Information Systems (488 citations). David J. Wu has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Tao Wang, Adam Coates, Andrew Y. Ng, Kevin Lewi, Dan Boneh, Seongseop Kim, Brody Huval, Bryan Catanzaro, Brent Waters and Andrew Ng. Their work appears in journals such as Lecture notes in computer science, Journal of Cryptology, The European Physical Journal B, Nature Computational Science and Journal of Bacteriology.
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.