Jaewon Shin
- Computer Networks and Communications top 1%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Surgery
- Oncology
- Co-authors
- Feng ZhaoJ. ReichSeon Hahn KimMasayasu HaraKyung‐Sook YangJin KimLeonidas GuibasSe Young Kim
- Topics
- Energy Efficient Wireless Sensor Networks (6 papers)Distributed Sensor Networks and Detection Algorithms (4 papers)Target Tracking and Data Fusion in Sensor Networks (4 papers)
- Journals
- NeurologyScientific ReportsSensors
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jaewon Shin
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Networks and Communications 880
- Artificial Intelligence 425
- Electrical and Electronic Engineering 339
- Surgery 209
- Oncology 175
Countries citing papers authored by Jaewon Shin
This map shows the geographic impact of Jaewon Shin'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 Jaewon Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaewon Shin more than expected).
Fields of papers citing papers by Jaewon Shin
This network shows the impact of papers produced by Jaewon Shin. 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 Jaewon Shin. The network helps show where Jaewon Shin may publish in the future.
Co-authorship network of co-authors of Jaewon Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Jaewon Shin. A scholar is included among the top collaborators of Jaewon Shin 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 Jaewon Shin. Jaewon Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 29 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 46 | |
| 10 | 114 | |
| 11 | 46 | |
| 12 | 32 | |
| 13 | 14 | |
| 14 | 16 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | Sensor Tasking for Occupancy Reasoning in a Network of Cameras | 15 |
| 19 | Information-driven dynamic sensor collaborationbreakdown → | 623 |
| 20 | Information-Driven Dynamic Sensor Collaboration for Tracking Applications | 329 |
About Jaewon Shin
Jaewon Shin is a scholar working on Internal Medicine, Computer Networks and Communications and Critical Care and Intensive Care Medicine, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (880 citations), Artificial Intelligence (425 citations) and Oncology (175 citations). Jaewon Shin has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Feng Zhao, J. Reich, Feng Zhao, Seon Hahn Kim, Masayasu Hara, Kyung‐Sook Yang, Jin Kim, Leonidas Guibas, Se Young Kim and Oh Young Bang. Their work appears in journals such as Neurology, Scientific Reports and Sensors.
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.