Vung Pham
Impact in
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- Data Visualization and Analytics
- Advanced Neural Network Applications
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 19
- Advanced Neural Network Applications 3
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- Anomaly Detection Techniques and Applications 6
- Advanced Text Analysis Techniques 4
- Co-authors
- Tommy Dang (29 shared papers)Chau Pham (3 shared papers)David C. Weindorf (5 shared papers)Huyen N. Nguyen (5 shared papers)Noura Bakr (1 shared paper)Fujun Sun (1 shared paper)Vinh T. Nguyen (4 shared papers)Rattikorn Hewett (1 shared paper)
- Journals
- Environmental Earth Sciences (1 paper)IEEE Access (1 paper)Geoderma (1 paper)Computers and Electronics in Agriculture (1 paper)Precision Agriculture (1 paper)
- Partner nations
- United StatesVietnamSouth Korea
In The Last Decade
Vung Pham
30 papers receiving 340 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 151
- Signal Processing 53
- Civil and Structural Engineering 96
- Environmental Engineering 51
- Artificial Intelligence 89
Countries citing papers authored by Vung Pham
This map shows the geographic impact of Vung 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 Vung Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vung Pham more than expected).
Fields of papers citing papers by Vung Pham
This network shows the impact of papers produced by Vung 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 Vung Pham. The network helps show where Vung Pham may publish in the future.
Co-authors
The 17 scholars most cited alongside Vung 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2022 | 37 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 30 | |
| 5 | 2018 | 26 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2020 | 4 |
About Vung Pham
Vung Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Environmental Engineering, having authored 34 papers that have together received 356 indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Complex Network Analysis Techniques (7 papers), Anomaly Detection Techniques and Applications (6 papers), Time Series Analysis and Forecasting (6 papers), Soil Geostatistics and Mapping (5 papers), Advanced Text Analysis Techniques (4 papers), Infrastructure Maintenance and Monitoring (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Signal Processing (53 citations), Civil and Structural Engineering (96 citations), Environmental Engineering (51 citations) and Artificial Intelligence (89 citations). Vung Pham has collaborated with scholars based in United States, Vietnam and South Korea. Frequent co-authors include Tommy Dang, Chau Pham, David C. Weindorf, Huyen N. Nguyen, Noura Bakr, Fujun Sun, Vinh T. Nguyen, Rattikorn Hewett, Jie Li and Yong Chen. Their work appears in journals such as Environmental Earth Sciences, IEEE Access, Geoderma, Computers and Electronics in Agriculture and Precision Agriculture.
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.