Khang Nguyen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Molecular Biology
- Industrial and Manufacturing Engineering top 10%
- Media Technology top 10%
- Co-authors
- Tam NguyenBinh P. NguyenDuy-Dinh LeFaruck MorcosSamuel Coulbourn FloresJay PainterE.A. MerrittMark Gerstein
- Topics
- Advanced Neural Network Applications (24 papers)Advanced Image and Video Retrieval Techniques (17 papers)Video Surveillance and Tracking Methods (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaIEEE Access
- Partner nations
- VietnamUnited StatesPoland
In The Last Decade
Khang Nguyen
51 papers receiving 350 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 66
- Molecular Biology 59
- Industrial and Manufacturing Engineering 28
- Media Technology 27
Countries citing papers authored by Khang Nguyen
This map shows the geographic impact of Khang 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 Khang Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khang Nguyen more than expected).
Fields of papers citing papers by Khang Nguyen
This network shows the impact of papers produced by Khang 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 Khang Nguyen. The network helps show where Khang Nguyen may publish in the future.
Co-authorship network of co-authors of Khang Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Khang Nguyen. A scholar is included among the top collaborators of Khang 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 Khang Nguyen. Khang 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 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 29 | |
| 18 | 1 | |
| 19 | 35 | |
| 20 | 10 |
About Khang Nguyen
Khang Nguyen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 58 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Video Surveillance and Tracking Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Media Technology (27 citations) and Industrial and Manufacturing Engineering (28 citations). Khang Nguyen has collaborated with scholars based in Vietnam, United States and Poland. Frequent co-authors include Tam Nguyen, Binh P. Nguyen, Duy-Dinh Le, Faruck Morcos, Samuel Coulbourn Flores, Jay Painter, E.A. Merritt, Mark Gerstein, Kevin S. Keating and Leslie A. Kuhn. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and IEEE Access.
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.