Gyoo‐Soo Chae

414 citations
39 papers · 219 · h-index 7

Impact in

Papers in

Gyoo‐Soo Chae

32 papers receiving 187 citations

Peers

Gyoo‐Soo Chae
Comparison fields: 5 of 81
  • Health Information Management 24
  • Artificial Intelligence 64
  • Computer Vision and Pattern Recognition 37
  • Aerospace Engineering 42
  • Signal Processing 17
Replace V. Vaithiyanathan with:
V. Vaithiyanathan India
S. Natarajan India
Kaleem Arshid China
Muhammad Shahbaz Khan United Kingdom
Xiaoliang Zhang China
Sushanta Biswas India
Xiangguo Zhang China
Swarnendu Ghosh India
Mallika De India
Gyoo‐Soo Chae relative to V. Vaithiyanathan India V. Vaithiyanathan's profile →
Citations per field
00.5×3.2×
V. Vaithiyanathan · 1×
Citations per year

Countries citing papers authored by Gyoo‐Soo Chae

Since Specialization
Citations

This map shows the geographic impact of Gyoo‐Soo Chae'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 Gyoo‐Soo Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyoo‐Soo Chae more than expected).

Fields of papers citing papers by Gyoo‐Soo Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyoo‐Soo Chae. 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 Gyoo‐Soo Chae. The network helps show where Gyoo‐Soo Chae may publish in the future.

Co-authors

The 25 scholars most cited alongside Gyoo‐Soo Chae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gyoo‐Soo Chae Line = papers co-authored together Gyoo‐Soo Chae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 202130
3 202028
4 202022
5 202120
6 202111
7 200010
8 19936
9 20216
10 20165
11 20154
12 20094
13
Printed Folded Antenna for Dual-Band WLAN Operations
20043
14 20013
15 20173
16 20192
17 20192
18 20062
19 20182
20 20222

About Gyoo‐Soo Chae

Gyoo‐Soo Chae is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 39 papers that have together received 219 indexed citations. Recurring topics across this work include Antenna Design and Analysis (12 papers), Microwave Engineering and Waveguides (6 papers), Bluetooth and Wireless Communication Technologies (5 papers), Advanced Antenna and Metasurface Technologies (4 papers), Antenna Design and Optimization (4 papers), Energy Harvesting in Wireless Networks (3 papers), Dust and Plasma Wave Phenomena (3 papers) and Internet of Things and Social Network Interactions (3 papers). The work is most often cited by research in Health Information Management (24 citations), Artificial Intelligence (64 citations), Computer Vision and Pattern Recognition (37 citations), Aerospace Engineering (42 citations) and Signal Processing (17 citations). Gyoo‐Soo Chae has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Pradeep Kumar Mallick, Sushruta Mishra, Lambodar Jena, Akash Kumar Bhoi, Mihir Narayan Mohanty, Valentina Emilia Bălaş, Hrudaya Kumar Tripathy, Debahuti Mishra, Sandeep Kumar Satapathy and Kanak Kalita. Their work appears in journals such as Personal and Ubiquitous Computing, IEEE Transactions on Plasma Science, Microwave and Optical Technology Letters, Frontiers in Public Health and Journal of Central South University.

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.

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