Byunggook Na
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Sungroh YoonSeongsik ParkJongwan KimDongyoon HanJi‐Hoon KimJangho LeeYeon Jeong KimSeung‐Ho Shin
- Topics
- Advanced Neural Network Applications (4 papers)Neural dynamics and brain function (3 papers)Advanced Memory and Neural Computing (3 papers)
- Partner nations
- South KoreaPuerto Rico
In The Last Decade
Byunggook Na
10 papers receiving 361 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 252
- Cognitive Neuroscience 159
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 75
- Cellular and Molecular Neuroscience 46
Countries citing papers authored by Byunggook Na
This map shows the geographic impact of Byunggook Na'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 Byunggook Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byunggook Na more than expected).
Fields of papers citing papers by Byunggook Na
This network shows the impact of papers produced by Byunggook Na. 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 Byunggook Na. The network helps show where Byunggook Na may publish in the future.
Co-authorship network of co-authors of Byunggook Na
This figure shows the co-authorship network connecting the top 25 collaborators of Byunggook Na. A scholar is included among the top collaborators of Byunggook Na 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 Byunggook Na. Byunggook Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 32 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detectionbreakdown → | 272 |
| 10 | Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. | 16 |
About Byunggook Na
Byunggook Na is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Neural dynamics and brain function (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Cognitive Neuroscience (159 citations), Artificial Intelligence (141 citations) and Electrical and Electronic Engineering (252 citations). Byunggook Na has collaborated with scholars based in South Korea and Puerto Rico. Frequent co-authors include Sungroh Yoon, Seongsik Park, Jongwan Kim, Dongyoon Han, Ji‐Hoon Kim, Jangho Lee, Yeon Jeong Kim, Seung‐Ho Shin, Youngil Koh and Sung‐Soo Yoon. Their work appears in journals such as IEEE Access, Nature Biomedical Engineering and Experimental & Molecular Medicine.
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.