Kirak Hong
- Computer Networks and Communications top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Umakishore RamachandranBeate OttenwälderBoris KoldehofeDavid LillethunKurt RothermelLiviu IftodePosu YanAllen Y. Yang
- Topics
- Video Surveillance and Tracking Methods (5 papers)Energy Efficient Wireless Sensor Networks (4 papers)IoT and Edge/Fog Computing (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Kirak Hong
16 papers receiving 612 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 561
- Information Systems 225
- Computer Vision and Pattern Recognition 208
- Electrical and Electronic Engineering 171
- Artificial Intelligence 66
Countries citing papers authored by Kirak Hong
This map shows the geographic impact of Kirak 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 Kirak Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirak Hong more than expected).
Fields of papers citing papers by Kirak Hong
This network shows the impact of papers produced by Kirak 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 Kirak Hong. The network helps show where Kirak Hong may publish in the future.
Co-authorship network of co-authors of Kirak Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Kirak Hong. A scholar is included among the top collaborators of Kirak 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 Kirak Hong. Kirak 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 | 127 | |
| 2 | 14 | |
| 3 | 41 | |
| 4 | Mobile fogbreakdown → | 343 |
| 5 | 23 | |
| 6 | 37 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | A Distributed System for Supporting Spatio-temporal Analysis on Large-scale Camera Networks | 1 |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition | 7 |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 1 |
About Kirak Hong
Kirak Hong is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 16 papers that have together received 641 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Energy Efficient Wireless Sensor Networks (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (561 citations), Computer Vision and Pattern Recognition (208 citations) and Information Systems (225 citations). Kirak Hong has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Umakishore Ramachandran, Beate Ottenwälder, Boris Koldehofe, David Lillethun, Kurt Rothermel, Liviu Iftode, Posu Yan, Allen Y. Yang, S. Shankar Sastry and Songhwai Oh. Their work appears in journals such as Proceedings of the IEEE, Software Practice and Experience and ACM Transactions on Sensor Networks.
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.