Sangjin Hong
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Co-authors
- Petar M. DjurićMiodrag BolićYunyoung NamW.E. StarkJinseok LeeAkshay AthalyeWe‐Duke ChoKyung‐Tae Kim
- Topics
- Target Tracking and Data Fusion in Sensor Networks (19 papers)Video Surveillance and Tracking Methods (10 papers)Indoor and Outdoor Localization Technologies (9 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sangjin Hong
87 papers receiving 871 citations
Peers
Comparison fields: 5 of 81
- Electrical and Electronic Engineering 352
- Artificial Intelligence 346
- Computer Networks and Communications 286
- Computer Vision and Pattern Recognition 173
- Aerospace Engineering 153
Countries citing papers authored by Sangjin Hong
This map shows the geographic impact of Sangjin Hong'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 Sangjin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangjin Hong more than expected).
Fields of papers citing papers by Sangjin Hong
This network shows the impact of papers produced by Sangjin Hong. 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 Sangjin Hong. The network helps show where Sangjin Hong may publish in the future.
Co-authorship network of co-authors of Sangjin Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Sangjin Hong. A scholar is included among the top collaborators of Sangjin Hong 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 Sangjin Hong. Sangjin Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 9 | |
| 17 | 179 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 16 |
About Sangjin Hong
Sangjin Hong is a scholar working on Computational Mathematics, Computer Networks and Communications and Signal Processing, having authored 92 papers that have together received 932 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Video Surveillance and Tracking Methods (10 papers) and Indoor and Outdoor Localization Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (286 citations), Artificial Intelligence (346 citations) and Computer Vision and Pattern Recognition (173 citations). Sangjin Hong has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Petar M. Djurić, Miodrag Bolić, Yunyoung Nam, W.E. Stark, Jinseok Lee, Akshay Athalye, We‐Duke Cho, Kyung‐Tae Kim, Suhwan Kim and Marios C. Papaefthymiou. Their work appears in journals such as Scientific Reports, 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.