Viet Dac Lai
- Artificial Intelligence top 5%
- Health Informatics top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Thien Huu NguyenFranck DernoncourtAmir Pouran Ben VeysehTrung BuiHiroyuki IzumiYoshiyuki HiguchiMasaharu KumashiroAnh Chien Nguyen
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (6 papers)Domain Adaptation and Few-Shot Learning (2 papers)
- Journals
- International Journal of Industrial ErgonomicsJournal of Occupational HealthJournal of UOEH
- Partner nations
- United StatesVietnamJapan
In The Last Decade
Viet Dac Lai
17 papers receiving 283 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 216
- Health Informatics 38
- Information Systems 23
- Computer Vision and Pattern Recognition 21
- Radiology, Nuclear Medicine and Imaging 17
Countries citing papers authored by Viet Dac Lai
This map shows the geographic impact of Viet Dac Lai'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 Viet Dac Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viet Dac Lai more than expected).
Fields of papers citing papers by Viet Dac Lai
This network shows the impact of papers produced by Viet Dac Lai. 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 Viet Dac Lai. The network helps show where Viet Dac Lai may publish in the future.
Co-authorship network of co-authors of Viet Dac Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Viet Dac Lai. A scholar is included among the top collaborators of Viet Dac Lai 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 Viet Dac Lai. Viet Dac Lai 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 109 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 32 | |
| 14 | 15 | |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 58 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 1 |
About Viet Dac Lai
Viet Dac Lai is a scholar working on Health Informatics, Artificial Intelligence and Behavioral Neuroscience, having authored 21 papers that have together received 293 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Health Informatics (38 citations), Artificial Intelligence (216 citations) and Family Practice (5 citations). Viet Dac Lai has collaborated with scholars based in United States, Vietnam and Japan. Frequent co-authors include Thien Huu Nguyen, Franck Dernoncourt, Amir Pouran Ben Veyseh, Trung Bui, Hiroyuki Izumi, Yoshiyuki Higuchi, Masaharu Kumashiro, Anh Chien Nguyen, Thuat Nguyen-Tran and Rik Koncel-Kedziorski. Their work appears in journals such as International Journal of Industrial Ergonomics, Journal of Occupational Health and Journal of UOEH.
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.