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
- Image Processing and 3D Reconstruction
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in
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- Cryptography and Data Security 13
- Privacy-Preserving Technologies in Data 7
- Coding theory and cryptography 2
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- Complexity and Algorithms in Graphs 7
- Co-authors
- Adam Coates (3 shared papers)Tao Wang (3 shared papers)Andrew Y. Ng (2 shared papers)Andrew Ng (1 shared paper)Brody Huval (1 shared paper)Bryan Catanzaro (1 shared paper)Kevin Lewi (1 shared paper)Hyunghoon Cho (1 shared paper)
- Journals
- Journal of Cryptology (2 papers)The European Physical Journal B (2 papers)Journal of Bacteriology (1 paper)Science (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
David J. Wu
24 papers receiving 1.7k citations
David J. Wu's Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 903
- Media Technology 277
- Artificial Intelligence 822
- Health Informatics 24
- Hardware and Architecture 71
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 26 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 | 540 |
| 2 | Deep learning with COTS HPC systems Hit paper breakdown → | 2013 | 370 |
| 3 | 2011 | 235 | |
| 4 | 2018 | 123 | |
| 5 | 2016 | 118 | |
| 6 | 2016 | 109 | |
| 7 | 2017 | 87 | |
| 8 | 2021 | 84 | |
| 9 | 2022 | 35 | |
| 10 | 2003 | 21 | |
| 11 | 2000 | 16 | |
| 12 | 1980 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2003 | 11 | |
| 15 | 2017 | 5 | |
| 16 | 2007 | 4 | |
| 17 | 1999 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 2 |
About David J. Wu
David J. Wu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (7 papers), Complexity and Algorithms in Graphs (7 papers), stochastic dynamics and bifurcation (4 papers), Ecosystem dynamics and resilience (3 papers), Coding theory and cryptography (2 papers), Image Retrieval and Classification Techniques (2 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (903 citations), Media Technology (277 citations), Artificial Intelligence (822 citations), Health Informatics (24 citations) and Hardware and Architecture (71 citations). David J. Wu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Adam Coates, Tao Wang, Andrew Y. Ng, Andrew Ng, Brody Huval, Bryan Catanzaro, Kevin Lewi, Hyunghoon Cho, Bonnie Berger and Carl Case. Their work appears in journals such as Journal of Cryptology, The European Physical Journal B, Journal of Bacteriology, Science and Physica A Statistical Mechanics and its Applications.
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.