Song Min Kim
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Tian HeShuai WangZhimeng YinWenchao JiangZhijun LiShuo GuoYu GuYunhuai Liu
- Topics
- Wireless Networks and Protocols (20 papers)Cooperative Communication and Network Coding (15 papers)Energy Harvesting in Wireless Networks (11 papers)
- Journals
- IEEE Transactions on CommunicationsIEEE Transactions on Wireless CommunicationsIEEE/ACM Transactions on Networking
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Song Min Kim
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 832
- Electrical and Electronic Engineering 697
- Biomedical Engineering 119
- Artificial Intelligence 54
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Song Min Kim
This map shows the geographic impact of Song Min Kim'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 Song Min Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Min Kim more than expected).
Fields of papers citing papers by Song Min Kim
This network shows the impact of papers produced by Song Min Kim. 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 Song Min Kim. The network helps show where Song Min Kim may publish in the future.
Co-authorship network of co-authors of Song Min Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Song Min Kim. A scholar is included among the top collaborators of Song Min Kim 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 Song Min Kim. Song Min Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 17 | |
| 6 | 3 | |
| 7 | Hiding in Plain Signal: Physical Signal Overshadowing Attack on LTE | 30 |
| 8 | 70 | |
| 9 | 70 | |
| 10 | 92 | |
| 11 | 20 | |
| 12 | 17 | |
| 13 | IoT Networking: From Coexistence to Collaboration | 3 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 185 | |
| 17 | 19 | |
| 18 | 19 | |
| 19 | 25 | |
| 20 | 78 |
About Song Min Kim
Song Min Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Human-Computer Interaction, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (20 papers), Cooperative Communication and Network Coding (15 papers) and Energy Harvesting in Wireless Networks (11 papers). The work is most often cited by research in Computer Networks and Communications (832 citations), Electrical and Electronic Engineering (697 citations) and Signal Processing (36 citations). Song Min Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Tian He, Shuai Wang, Zhimeng Yin, Wenchao Jiang, Zhijun Li, Shuo Guo, Yu Gu, Yunhuai Liu, Guang Tan and Ruofeng Liu. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications and IEEE/ACM Transactions on Networking.
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.