Daniel Wu

8 papers and 104 indexed citations i.

About

Daniel Wu is a scholar working on Molecular Biology, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Daniel Wu has authored 8 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Daniel Wu’s work include Bioinformatics and Genomic Networks (3 papers), Distributed and Parallel Computing Systems (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Daniel Wu is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Distributed and Parallel Computing Systems (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Daniel Wu collaborates with scholars based in United States and China. Daniel Wu's co-authors include Michael O. Neary, Klaus E. Schauser, Mihai Ionescu, P. Cappello, Xiaohua Hu, Yuchun Tang, Bahrad A. Sokhansanj, Divyakant Agrawal, Amr El Abbadi and Michael Green and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Fuzzy Systems and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Daniel Wu i

Fields of papers citing papers by Daniel Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel 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 Daniel Wu. The network helps show where Daniel Wu may publish in the future.

Countries citing papers authored by Daniel Wu

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel 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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2025