Duc-Vu Nguyen
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Building and Construction top 10%
- Information Systems
- Co-authors
- Kap Hwan KimKiet Van NguyenNgan Luu-Thuy NguyenWeiguo GongKelvin C. P. WangYang-Wai ChowRavi GargChunhua Shen
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (7 papers)Advanced Manufacturing and Logistics Optimization (6 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsComputers & Industrial EngineeringACS Sensors
- Partner nations
- VietnamSouth KoreaAustralia
In The Last Decade
Duc-Vu Nguyen
25 papers receiving 313 citations
Peers
Comparison fields: 5 of 55
- Industrial and Manufacturing Engineering 130
- Artificial Intelligence 125
- Computer Vision and Pattern Recognition 51
- Building and Construction 47
- Information Systems 34
Countries citing papers authored by Duc-Vu Nguyen
This map shows the geographic impact of Duc-Vu 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 Duc-Vu Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc-Vu Nguyen more than expected).
Fields of papers citing papers by Duc-Vu Nguyen
This network shows the impact of papers produced by Duc-Vu 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 Duc-Vu Nguyen. The network helps show where Duc-Vu Nguyen may publish in the future.
Co-authorship network of co-authors of Duc-Vu Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Duc-Vu Nguyen. A scholar is included among the top collaborators of Duc-Vu 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 Duc-Vu Nguyen. Duc-Vu 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 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 42 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 15 | |
| 16 | 17 | |
| 17 | Automated Survey of Pavement Distress Based on 2D and 3D Laser Images | 26 |
| 18 | A Simulation Study for Evaluating Multi-lifting Operations by Quay Cranes | 1 |
| 19 | Dispatching Vehicles Considering Uncertain Handling Times at Port Container Terminals | 7 |
| 20 | 91 |
About Duc-Vu Nguyen
Duc-Vu Nguyen is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 330 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (130 citations), Artificial Intelligence (125 citations) and Building and Construction (47 citations). Duc-Vu Nguyen has collaborated with scholars based in Vietnam, South Korea and Australia. Frequent co-authors include Kap Hwan Kim, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Weiguo Gong, Kelvin C. P. Wang, Yang-Wai Chow, Ravi Garg, Chunhua Shen, Willy Susilo and Pulak Purkait. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Computers & Industrial Engineering and ACS 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.