Deokjai Choi
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Thang HoangThuc D. NguyenLam TranWontaek LimGuangjie HanGuee-Sang LeeTam NguyenMohd Fikri Azli Abdullah
- Topics
- Energy Efficient Wireless Sensor Networks (17 papers)Context-Aware Activity Recognition Systems (15 papers)Software-Defined Networks and 5G (10 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Communications Magazine
- Partner nations
- South KoreaVietnamIndonesia
In The Last Decade
Deokjai Choi
88 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 410
- Computer Networks and Communications 404
- Electrical and Electronic Engineering 323
- Biomedical Engineering 272
- Artificial Intelligence 237
Countries citing papers authored by Deokjai Choi
This map shows the geographic impact of Deokjai Choi'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 Deokjai Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deokjai Choi more than expected).
Fields of papers citing papers by Deokjai Choi
This network shows the impact of papers produced by Deokjai Choi. 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 Deokjai Choi. The network helps show where Deokjai Choi may publish in the future.
Co-authorship network of co-authors of Deokjai Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Deokjai Choi. A scholar is included among the top collaborators of Deokjai Choi 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 Deokjai Choi. Deokjai Choi 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 | 14 | |
| 4 | 59 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Biometrics-based Key Generation Research: Accomplishments and Challenges | 1 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 6LoWPAN-based Wireless Home Automation | 3 |
| 14 | 86 | |
| 15 | 23 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 15 |
About Deokjai Choi
Deokjai Choi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (17 papers), Context-Aware Activity Recognition Systems (15 papers) and Software-Defined Networks and 5G (10 papers). The work is most often cited by research in Signal Processing (235 citations), Computer Vision and Pattern Recognition (410 citations) and Computer Networks and Communications (404 citations). Deokjai Choi has collaborated with scholars based in South Korea, Vietnam and Indonesia. Frequent co-authors include Thang Hoang, Thuc D. Nguyen, Lam Tran, Wontaek Lim, Guangjie Han, Guee-Sang Lee, Tam Nguyen, Mohd Fikri Azli Abdullah, Md Shohel Sayeed and Hyunil Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.
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.