Cuong Nguyen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Atmospheric Science
- Global and Planetary Change
- Signal Processing
- Co-authors
- Thanh Thi NguyenSaeid NahavandiDung T. NguyenDuc Thanh NguyenThien Huynh‐TheThành Tâm NguyênQuoc Viet Hung NguyenQuoc‐Viet Pham
- Topics
- Meteorological Phenomena and Simulations (8 papers)Soil Moisture and Remote Sensing (6 papers)Precipitation Measurement and Analysis (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Atmospheric SciencesAtmospheric chemistry and physics
- Partner nations
- United StatesVietnamAustralia
In The Last Decade
Cuong Nguyen
24 papers receiving 411 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 238
- Artificial Intelligence 105
- Atmospheric Science 75
- Global and Planetary Change 42
- Signal Processing 39
Countries citing papers authored by Cuong Nguyen
This map shows the geographic impact of Cuong 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 Cuong Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuong Nguyen more than expected).
Fields of papers citing papers by Cuong Nguyen
This network shows the impact of papers produced by Cuong 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 Cuong Nguyen. The network helps show where Cuong Nguyen may publish in the future.
Co-authorship network of co-authors of Cuong Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Cuong Nguyen. A scholar is included among the top collaborators of Cuong 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 Cuong Nguyen. Cuong 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 | 1 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | Deep learning for deepfakes creation and detection: A surveybreakdown → | 216 |
| 6 | 51 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | Deep Learning for Deepfakes Creation and Detection. | 57 |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 3 |
About Cuong Nguyen
Cuong Nguyen is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture and Software, having authored 26 papers that have together received 436 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Soil Moisture and Remote Sensing (6 papers) and Precipitation Measurement and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (238 citations), Atmospheric Science (75 citations) and Signal Processing (39 citations). Cuong Nguyen has collaborated with scholars based in United States, Vietnam and Australia. Frequent co-authors include Thanh Thi Nguyen, Saeid Nahavandi, Dung T. Nguyen, Duc Thanh Nguyen, Thien Huynh‐The, Thành Tâm Nguyên, Quoc Viet Hung Nguyen, Quoc‐Viet Pham, V. Chandrasekar and Kevin J. Tory. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Atmospheric Sciences and Atmospheric chemistry and physics.
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.