Cam-Tu Nguyen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Xiaoliang WangXuan-Hieu PhanQuang-Thuy HaZhi‐Hua ZhouLe-Minh NguyenSusumu HoriguchiDe‐Chuan ZhanSanglu Lu
- Topics
- Topic Modeling (7 papers)Text and Document Classification Technologies (6 papers)Natural Language Processing Techniques (6 papers)
In The Last Decade
Cam-Tu Nguyen
29 papers receiving 410 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 247
- Computer Vision and Pattern Recognition 126
- Signal Processing 97
- Information Systems 95
- Computer Networks and Communications 54
Countries citing papers authored by Cam-Tu Nguyen
This map shows the geographic impact of Cam-Tu 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 Cam-Tu Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cam-Tu Nguyen more than expected).
Fields of papers citing papers by Cam-Tu Nguyen
This network shows the impact of papers produced by Cam-Tu 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 Cam-Tu Nguyen. The network helps show where Cam-Tu Nguyen may publish in the future.
Co-authorship network of co-authors of Cam-Tu Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Cam-Tu Nguyen. A scholar is included among the top collaborators of Cam-Tu 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 Cam-Tu Nguyen. Cam-Tu 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 26 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | Fast connection recovery against region failures with landmark-based source routing | 4 |
| 16 | Multi-modal image annotation with multi-instance multi-label LDA | 47 |
| 17 | 10 | |
| 18 | 7 | |
| 19 | 77 | |
| 20 | Vietnamese word segmentation with crfs and svms: An investigation | 32 |
About Cam-Tu Nguyen
Cam-Tu Nguyen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Text and Document Classification Technologies (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (97 citations), Artificial Intelligence (247 citations) and Human-Computer Interaction (35 citations). Cam-Tu Nguyen has collaborated with scholars based in China, Japan and Vietnam. Frequent co-authors include Xiaoliang Wang, Xuan-Hieu Phan, Quang-Thuy Ha, Zhi‐Hua Zhou, Le-Minh Nguyen, Susumu Horiguchi, De‐Chuan Zhan, Sanglu Lu, Kim-Anh Nguyen and Trung‐Kien Nguyen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Networking and Computer Networks.
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.