Phuoc Pham
Impact in
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- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
Papers in
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- Advanced Neural Network Applications 2
- Face and Expression Recognition 1
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- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and ELM 1
- Co-authors
- Jaeyong Chung (3 shared papers)Jacob A. Abraham (1 shared paper)Ahmad Hajjar (1 shared paper)Tien N. Nguyen (1 shared paper)Vu Nguyen (1 shared paper)Aziz Nasridinov (1 shared paper)Shamim Ripon (1 shared paper)Md. Golam Rabiul Alam (1 shared paper)
- Journals
- Case Studies in Thermal Engineering (1 paper)Information Fusion (1 paper)IEEE Access (1 paper)Electronics (1 paper)Jeongbo gwahaghoe nonmunji. keompyuting ui silje (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Phuoc Pham
7 papers receiving 38 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 7
- Software 3
- Computer Vision and Pattern Recognition 13
- Artificial Intelligence 12
- Neurology 3
Countries citing papers authored by Phuoc Pham
This map shows the geographic impact of Phuoc 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 Phuoc Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phuoc Pham more than expected).
Fields of papers citing papers by Phuoc Pham
This network shows the impact of papers produced by Phuoc 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 Phuoc Pham. The network helps show where Phuoc Pham may publish in the future.
Co-authors
The 9 scholars most cited alongside Phuoc 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 14 | |
| 2 | 2023 | 9 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 4 | |
| 6 | A Solution for Injection and Rewriting Attacks on SOAP Messages in Web Services Security | 2012 | 3 |
| 7 | 2024 | 1 |
About Phuoc Pham
Phuoc Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Mechanical Engineering, having authored 7 papers that have together received 41 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers), Machine Learning and ELM (1 paper), Face and Expression Recognition (1 paper), Software Testing and Debugging Techniques (1 paper), Software Reliability and Analysis Research (1 paper), VLSI and FPGA Design Techniques (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Hardware and Architecture (7 citations), Software (3 citations), Computer Vision and Pattern Recognition (13 citations), Artificial Intelligence (12 citations) and Neurology (3 citations). Phuoc Pham has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Jaeyong Chung, Jacob A. Abraham, Ahmad Hajjar, Tien N. Nguyen, Vu Nguyen, Aziz Nasridinov, Shamim Ripon, Md. Golam Rabiul Alam and Mohammad Mehedi Hassan. Their work appears in journals such as Case Studies in Thermal Engineering, Information Fusion, IEEE Access, Electronics and Jeongbo gwahaghoe nonmunji. keompyuting ui silje.
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.