Long Nguyen
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Software top 10%
- Co-authors
- Nguyễn Thu HươngBing XiangTaghi M. KhoshgoftaarDenis SidorovMichael J. PazzaniTim NgAliona DregleaHải Thanh Nguyễn
- Topics
- Speech Recognition and Synthesis (6 papers)Speech and Audio Processing (5 papers)Infrastructure Maintenance and Monitoring (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAlgorithmsAlgebra Universalis
- Partner nations
- United StatesRussiaVietnam
In The Last Decade
Long Nguyen
27 papers receiving 261 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 146
- Signal Processing 86
- Information Systems 76
- Computer Vision and Pattern Recognition 60
- Software 47
Countries citing papers authored by Long Nguyen
This map shows the geographic impact of Long 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 Long Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Nguyen more than expected).
Fields of papers citing papers by Long Nguyen
This network shows the impact of papers produced by Long 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 Long Nguyen. The network helps show where Long Nguyen may publish in the future.
Co-authorship network of co-authors of Long Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Long Nguyen. A scholar is included among the top collaborators of Long 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 Long Nguyen. Long 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 | 6 | |
| 2 | 1 | |
| 3 | Segmentation of Forest Fire Images Based on Convolutional Neural Networks | 1 |
| 4 | 2 | |
| 5 | Deep Learning Methods for Classification of Road Defects | 1 |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 17 | |
| 9 | Automatic Anthropometric System Development Using Machine Learning | 2 |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | Parallel Feature Selection Inspired by Group Testing | 21 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 38 | |
| 19 | 10 | |
| 20 | 33 |
About Long Nguyen
Long Nguyen is a scholar working on Signal Processing, Software and Artificial Intelligence, having authored 27 papers that have together received 285 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Infrastructure Maintenance and Monitoring (5 papers). The work is most often cited by research in Software (47 citations), Signal Processing (86 citations) and Artificial Intelligence (146 citations). Long Nguyen has collaborated with scholars based in United States, Russia and Vietnam. Frequent co-authors include Nguyễn Thu Hương, Bing Xiang, Taghi M. Khoshgoftaar, Denis Sidorov, Michael J. Pazzani, Tim Ng, Aliona Dreglea, Hải Thanh Nguyễn, A. D. Afanasiev and Hung Q. Ngo. Their work appears in journals such as SHILAP Revista de lepidopterología, Algorithms and Algebra Universalis.
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.