Le‐Shin Wu
Impact in
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- Marine and coastal ecosystems
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- Neurobiology and Insect Physiology Research
Papers in
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- Peer-to-Peer Network Technologies 6
- Caching and Content Delivery 5
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- Web Data Mining and Analysis 2
- Spam and Phishing Detection 1
- Co-authors
- Vittoria Roncalli (2 shared papers)Petra H. Lenz (2 shared papers)Andrew E. Christie (2 shared papers)Filippo Menczer (6 shared papers)Matthew Cieslak (1 shared paper)R. P. Hassett (1 shared paper)Daniel K. Hartline (1 shared paper)Carrie Ganote (3 shared papers)
- Journals
- General and Comparative Endocrinology (1 paper)G3 Genes Genomes Genetics (1 paper)AI Magazine (1 paper)PLoS ONE (1 paper)Acta Horticulturae (1 paper)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Le‐Shin Wu
13 papers receiving 299 citations
Peers
Comparison fields: 5 of 62
- Oceanography 49
- Cellular and Molecular Neuroscience 68
- Aquatic Science 27
- Ecology 83
- Computer Networks and Communications 56
Countries citing papers authored by Le‐Shin Wu
This map shows the geographic impact of Le‐Shin 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 Le‐Shin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le‐Shin Wu more than expected).
Fields of papers citing papers by Le‐Shin Wu
This network shows the impact of papers produced by Le‐Shin 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 Le‐Shin Wu. The network helps show where Le‐Shin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Le‐Shin 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 | 2014 | 95 | |
| 2 | 2013 | 66 | |
| 3 | 2012 | 48 | |
| 4 | 2015 | 34 | |
| 5 | 2006 | 25 | |
| 6 | 6S: Distributing Crawling and Searching Across Web Peers. | 2005 | 15 |
| 7 | 2016 | 8 | |
| 8 | 2009 | 6 | |
| 9 | 2013 | 5 | |
| 10 | 2008 | 4 | |
| 11 | 2009 | 2 | |
| 12 | Galaxy based BLAST submission to distributed national high throughput computing resources | 2013 | 2 |
| 13 | 2005 | 1 | |
| 14 | Using Prior Knowledge to Improve Scoring in High-Throughput Top-Down Proteomics Experiments | 2013 | 0 |
About Le‐Shin Wu
Le‐Shin Wu is a scholar working on Computer Networks and Communications, Information Systems, Molecular Biology, Statistical and Nonlinear Physics and Ecology, having authored 14 papers that have together received 311 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (6 papers), Caching and Content Delivery (5 papers), Web Data Mining and Analysis (2 papers), Genomics and Phylogenetic Studies (2 papers), Scientific Computing and Data Management (2 papers), Complex Network Analysis Techniques (2 papers), Spam and Phishing Detection (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Oceanography (49 citations), Cellular and Molecular Neuroscience (68 citations), Aquatic Science (27 citations), Ecology (83 citations) and Computer Networks and Communications (56 citations). Le‐Shin Wu has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Vittoria Roncalli, Petra H. Lenz, Andrew E. Christie, Filippo Menczer, Matthew Cieslak, R. P. Hassett, Daniel K. Hartline, Carrie Ganote, Thomas G. Doak and Richard D. LeDuc. Their work appears in journals such as General and Comparative Endocrinology, G3 Genes Genomes Genetics, AI Magazine, PLoS ONE and Acta Horticulturae.
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.