Edward Wu
Impact in
- Artificial Intelligence top 10%
- Algorithms and Data Compression
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
Papers in
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- Genomics and Phylogenetic Studies 4
- Advanced biosensing and bioanalysis techniques 1
- Molecular Biology Techniques and Applications 1
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- Algorithms and Data Compression 2
- Machine Learning and Data Classification 1
- Co-authors
- Tak‐Wah Lam (5 shared papers)Ruiqiang Li (4 shared papers)Ruibang Luo (4 shared papers)Chi-Man Liu (4 shared papers)Chang Yu (3 shared papers)Yingrui Li (3 shared papers)Siu‐Ming Yiu (3 shared papers)Thomas K. F. Wong (3 shared papers)
- Journals
- PLoS ONE (2 papers)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)The HKU Scholars Hub (University of Hong Kong) (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Edward Wu
5 papers receiving 588 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 190
- Molecular Biology 354
- Hardware and Architecture 25
- Plant Science 88
- Cancer Research 32
Countries citing papers authored by Edward Wu
This map shows the geographic impact of Edward 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 Edward Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Wu more than expected).
Fields of papers citing papers by Edward Wu
This network shows the impact of papers produced by Edward 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 Edward Wu. The network helps show where Edward Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward 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 | 2013 | 342 | |
| 2 | 2012 | 150 | |
| 3 | 2009 | 52 | |
| 4 | 2015 | 35 | |
| 5 | 2013 | 21 |
About Edward Wu
Edward Wu is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 600 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers), Algorithms and Data Compression (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Machine Learning and Data Classification (1 paper), Advanced Data Storage Technologies (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (190 citations), Molecular Biology (354 citations), Hardware and Architecture (25 citations), Plant Science (88 citations) and Cancer Research (32 citations). Edward Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tak‐Wah Lam, Ruiqiang Li, Ruibang Luo, Chi-Man Liu, Chang Yu, Yingrui Li, Siu‐Ming Yiu, Thomas K. F. Wong, Shaoliang Peng and Xiaoqian Zhu. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Bioinformatics and The HKU Scholars Hub (University of Hong Kong).
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.