David J. Wu

21 papers and 1.3k indexed citations i.

About

David J. Wu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, David J. Wu has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in David J. Wu’s work include Cryptography and Data Security (11 papers), Privacy-Preserving Technologies in Data (7 papers) and Combinatorial Optimization and Complexity Theory (6 papers). David J. Wu is often cited by papers focused on Cryptography and Data Security (11 papers), Privacy-Preserving Technologies in Data (7 papers) and Combinatorial Optimization and Complexity Theory (6 papers). David J. Wu collaborates with scholars based in United States, China and Israel. David J. Wu's co-authors include Tao Wang, Adam Coates, Andrew Y. Ng, Bryan Catanzaro, Andrew Ng, Brody Huval, Kevin Lewi, Bonnie Berger, Hyunghoon Cho and Michael Naehrig and has published in prestigious journals such as Science, Nature Biotechnology and Journal of Bacteriology.

In The Last Decade

Co-authorship network of co-authors of David J. Wu i

Fields of papers citing papers by David J. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by David J. Wu

Since Specialization
Citations

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).

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.

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