Yonghui Wu
Impact in
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
- Chromosomal and Genetic Variations
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 1
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Timothy J. Close (5 shared papers)Stefano Lonardi (8 shared papers)Prasanna R. Bhat (2 shared papers)Wojciech Szpankowski (1 shared paper)Nathaniel G. Portney (1 shared paper)Tao Jiang (2 shared papers)Lauren K. Quezada (1 shared paper)Mihrimah Ozkan (1 shared paper)
- Journals
- Journal of Bioinformatics and Computational Biology (2 papers)Journal of Computational Biology (1 paper)Journal of Berry Research (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Yonghui Wu
14 papers receiving 652 citations
Peers
Comparison fields: 5 of 75
- Plant Science 425
- Genetics 272
- Horticulture 7
- Agronomy and Crop Science 31
- Molecular Biology 170
Countries citing papers authored by Yonghui Wu
This map shows the geographic impact of Yonghui 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 Yonghui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghui Wu more than expected).
Fields of papers citing papers by Yonghui Wu
This network shows the impact of papers produced by Yonghui 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 Yonghui Wu. The network helps show where Yonghui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonghui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 428 | |
| 2 | 2010 | 89 | |
| 3 | 2008 | 55 | |
| 4 | 2013 | 23 | |
| 5 | 2008 | 14 | |
| 6 | 2006 | 14 | |
| 7 | 2024 | 9 | |
| 8 | 2010 | 7 | |
| 9 | Two-Level Microprocessor-Accelerator Partitioning | 2008 | 6 |
| 10 | 2007 | 5 | |
| 11 | Clock-Frequency Assignment for Multiple Clock Domain Systems-on-a-Chip | 2008 | 4 |
| 12 | 2008 | 3 | |
| 13 | 2008 | 2 | |
| 14 | 2020 | 1 |
About Yonghui Wu
Yonghui Wu is a scholar working on Molecular Biology, Plant Science, Artificial Intelligence, Genetics and Computer Networks and Communications, having authored 14 papers that have together received 660 indexed citations. Recurring topics across this work include Algorithms and Data Compression (4 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Phylogenetic Studies (3 papers), Embedded Systems Design Techniques (2 papers), VLSI and FPGA Design Techniques (2 papers), Interconnection Networks and Systems (2 papers), Cellular Automata and Applications (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Plant Science (425 citations), Genetics (272 citations), Horticulture (7 citations), Agronomy and Crop Science (31 citations) and Molecular Biology (170 citations). Yonghui Wu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Timothy J. Close, Stefano Lonardi, Prasanna R. Bhat, Wojciech Szpankowski, Nathaniel G. Portney, Tao Jiang, Lauren K. Quezada, Mihrimah Ozkan, Frank Vahid and Steve Wanamaker. Their work appears in journals such as Journal of Bioinformatics and Computational Biology, Journal of Computational Biology, Journal of Berry Research, IEEE/ACM Transactions on Computational Biology and Bioinformatics and PLoS Computational Biology.
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.