Sungbin Im

948 citations
92 papers · 701 · h-index 14

Impact in

Papers in

Sungbin Im

81 papers receiving 666 citations

Peers

Sungbin Im
Comparison fields: 5 of 83
  • Signal Processing 89
  • Aerospace Engineering 121
  • Electrical and Electronic Engineering 254
  • Civil and Structural Engineering 87
  • Biomedical Engineering 163
Replace Jitong Ma with:
Jitong Ma China
Linas Svilainis Lithuania
Saeed Daneshmand Iran
Annalisa Liccardo Italy
Devesh K. Jha United States
Raimundo C. S. Freire Brazil
Antonio Iula Italy
Tingting Zhang China
Xiaojin Zhu China
Prabhu Rajagopal India
Sungbin Im relative to Jitong Ma China Jitong Ma's profile →
Citations per field
00.5×1.5×2.4×
Jitong Ma · 1×
Citations per year

Countries citing papers authored by Sungbin Im

Since Specialization
Citations

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

Fields of papers citing papers by Sungbin Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sungbin Im. 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 Sungbin Im. The network helps show where Sungbin Im may publish in the future.

Co-authors

The 25 scholars most cited alongside Sungbin Im, 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 Sungbin Im Line = papers co-authored together Sungbin Im links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199272
2 200269
3 200867
4 201852
5 198750
6 202141
7 202323
8 202019
9 200218
10 200217
11 202217
12 200516
13 199715
14 199613
15 200211
16 200311
17 201811
18 202210
19 20178
20 19968

About Sungbin Im

Sungbin Im is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Computer Networks and Communications and Control and Systems Engineering, having authored 92 papers that have together received 701 indexed citations. Recurring topics across this work include PAPR reduction in OFDM (14 papers), Speech and Audio Processing (12 papers), Underwater Acoustics Research (11 papers), Advanced Adaptive Filtering Techniques (10 papers), Advanced Power Amplifier Design (10 papers), Wireless Communication Networks Research (9 papers), Near-Field Optical Microscopy (9 papers) and Advanced Wireless Communication Techniques (8 papers). The work is most often cited by research in Signal Processing (89 citations), Aerospace Engineering (121 citations), Electrical and Electronic Engineering (254 citations), Civil and Structural Engineering (87 citations) and Biomedical Engineering (163 citations). Sungbin Im has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include E.J. Powers, Rong Huang, Yoan Shin, S. N. Atluri, Daniel Gianola, Jean Louis J. L. Foulley, Magali San Cristobal, Hojoon Lee, Geonwook Yoo and Taehyung Park. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Transactions on Magnetics, Applied Sciences, IEEE Access and Nano Energy.

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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