Vu Pham
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 2
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- Internet Traffic Analysis and Secure E-voting 2
- Privacy-Preserving Technologies in Data 2
- Co-authors
- Thuc Duy Le (10 shared papers)Lin Liu (8 shared papers)Jiuyong Li (8 shared papers)Laurent El Ghaoui (4 shared papers)Shui Yu (2 shared papers)Keshav Sood (1 shared paper)Lei Cui (1 shared paper)Buu Truong (3 shared papers)
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (2 papers)Briefings in Functional Genomics (1 paper)Briefings in Bioinformatics (1 paper)ACS Omega (1 paper)
- Partner nations
- AustraliaUnited StatesVietnam
In The Last Decade
Vu Pham
21 papers receiving 221 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 37
- Software 10
- Radiological and Ultrasound Technology 9
- Statistics, Probability and Uncertainty 11
- Information Systems 31
Countries citing papers authored by Vu Pham
This map shows the geographic impact of Vu Pham'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 Vu Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu Pham more than expected).
Fields of papers citing papers by Vu Pham
This network shows the impact of papers produced by Vu Pham. 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 Vu Pham. The network helps show where Vu Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Vu Pham, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 25 | |
| 2 | 2019 | 23 | |
| 3 | 2017 | 22 | |
| 4 | 2019 | 20 | |
| 5 | 2013 | 18 | |
| 6 | 2019 | 14 | |
| 7 | Sparse Machine Learning Methods for Understanding Large Text Corpora. | 2011 | 14 |
| 8 | 2013 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 5 | |
| 18 | {Robust sketching for multiple square-root LASSO problems} | 2015 | 5 |
| 19 | 2020 | 3 | |
| 20 | 2022 | 2 |
About Vu Pham
Vu Pham is a scholar working on Molecular Biology, Artificial Intelligence, Sociology and Political Science, Information Systems and Statistics and Probability, having authored 25 papers that have together received 231 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Privacy, Security, and Data Protection (2 papers), Privacy-Preserving Technologies in Data (2 papers), MicroRNA in disease regulation (2 papers) and Digital Games and Media (1 paper). The work is most often cited by research in Cancer Research (37 citations), Software (10 citations), Radiological and Ultrasound Technology (9 citations), Statistics, Probability and Uncertainty (11 citations) and Information Systems (31 citations). Vu Pham has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include Thuc Duy Le, Lin Liu, Jiuyong Li, Laurent El Ghaoui, Shui Yu, Keshav Sood, Lei Cui, Buu Truong, Gregory J. Goodall and Kanishka Bhaduri. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Briefings in Functional Genomics, Briefings in Bioinformatics and ACS Omega.
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.