Kun Wu
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Distributed systems and fault tolerance 8
- Advanced Data Storage Technologies 4
- Optimization and Search Problems 3
- Advanced Database Systems and Queries 3
-
- Glutathione Transferases and Polymorphisms 3
- Co-authors
- W.K. Fuchs (4 shared papers)Philip S. Yu (7 shared papers)Wei Ge (10 shared papers)Zhiwei Zhang (3 shared papers)Weiyi Song (4 shared papers)J.H. Patel (1 shared paper)Joel L. Wolf (1 shared paper)Alexander Keller (1 shared paper)
- Journals
- Communications Biology (3 papers)PLoS Genetics (3 papers)Development (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)Food Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Kun Wu
43 papers receiving 857 citations
Peers
Comparison fields: 5 of 111
- Hardware and Architecture 135
- Physiology 74
- Computer Networks and Communications 323
- Information Systems 207
- Management Information Systems 60
Countries citing papers authored by Kun Wu
This map shows the geographic impact of Kun 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 Kun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wu more than expected).
Fields of papers citing papers by Kun Wu
This network shows the impact of papers produced by Kun 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 Kun Wu. The network helps show where Kun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 99 | |
| 2 | 2013 | 84 | |
| 3 | 1990 | 81 | |
| 4 | 1998 | 73 | |
| 5 | 2012 | 71 | |
| 6 | 1990 | 59 | |
| 7 | 2020 | 50 | |
| 8 | 2019 | 42 | |
| 9 | 2015 | 34 | |
| 10 | 2010 | 26 | |
| 11 | 2012 | 24 | |
| 12 | 2020 | 24 | |
| 13 | 2022 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 17 | |
| 17 | 2005 | 15 | |
| 18 | 2008 | 14 | |
| 19 | 2022 | 12 | |
| 20 | 2006 | 12 |
About Kun Wu
Kun Wu is a scholar working on Computer Networks and Communications, Molecular Biology, Genetics, Organic Chemistry and Information Systems, having authored 47 papers that have together received 916 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Animal Genetics and Reproduction (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (4 papers), Optimization and Search Problems (3 papers), Glutathione Transferases and Polymorphisms (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Hardware and Architecture (135 citations), Physiology (74 citations), Computer Networks and Communications (323 citations), Information Systems (207 citations) and Management Information Systems (60 citations). Kun Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include W.K. Fuchs, Philip S. Yu, Wei Ge, Zhiwei Zhang, Weiyi Song, J.H. Patel, Joel L. Wolf, Alexander Keller, Suoqin Zhang and Yan‐Sen Fan. Their work appears in journals such as Communications Biology, PLoS Genetics, Development, IEEE Transactions on Parallel and Distributed Systems and Food Chemistry.
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.