Ha-Nam Nguyen
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Accounting top 10%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Co-authors
- Dong Seong KimJong Sou ParkTrung Nghia VuWeiming ShenTrung Thành NguyễnNir OhadDat NguyenYudi Pawitan
- Topics
- Circular RNAs in diseases (3 papers)Face and Expression Recognition (3 papers)Context-Aware Activity Recognition Systems (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- VietnamSouth KoreaSweden
In The Last Decade
Ha-Nam Nguyen
18 papers receiving 252 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 120
- Computer Networks and Communications 71
- Accounting 45
- Computer Vision and Pattern Recognition 42
- Molecular Biology 34
Countries citing papers authored by Ha-Nam Nguyen
This map shows the geographic impact of Ha-Nam Nguyen'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 Ha-Nam Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ha-Nam Nguyen more than expected).
Fields of papers citing papers by Ha-Nam Nguyen
This network shows the impact of papers produced by Ha-Nam Nguyen. 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 Ha-Nam Nguyen. The network helps show where Ha-Nam Nguyen may publish in the future.
Co-authorship network of co-authors of Ha-Nam Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Ha-Nam Nguyen. A scholar is included among the top collaborators of Ha-Nam Nguyen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ha-Nam Nguyen. Ha-Nam Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 30 | |
| 15 | 37 | |
| 16 | 2 | |
| 17 | 31 | |
| 18 | Feature Selection Algorithm using Random Forest to Diagnose Cancer | 2 |
| 19 | Weighted Kernel and it's Learning Method for Cancer Diagnosis System | 1 |
| 20 | 86 |
About Ha-Nam Nguyen
Ha-Nam Nguyen is a scholar working on Computer Vision and Pattern Recognition, Transportation and Health Information Management, having authored 21 papers that have together received 265 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Face and Expression Recognition (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Accounting (45 citations), Artificial Intelligence (120 citations) and Computer Networks and Communications (71 citations). Ha-Nam Nguyen has collaborated with scholars based in Vietnam, South Korea and Sweden. Frequent co-authors include Dong Seong Kim, Jong Sou Park, Trung Nghia Vu, Weiming Shen, Trung Thành Nguyễn, Nir Ohad, Dat Nguyen, Yudi Pawitan, Jong‐Jin Park and Thandar Thein. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.