Jun-Seok Lim

498 citations
58 papers · 349 · h-index 8

Impact in

Papers in

Jun-Seok Lim

51 papers receiving 321 citations

Peers

Jun-Seok Lim
Comparison fields: 5 of 56
  • Signal Processing 116
  • Computational Mechanics 109
  • Computer Networks and Communications 65
  • Artificial Intelligence 91
  • Oceanography 30
Replace Mohammad Reza Taban with:
Mohammad Reza Taban Iran
Weidong Zhou China
Upendra Kumar Sahoo India
Abbas Sheikhi Iran
Yong Fang China
Wenxin Xiong Germany
Pengcheng Yue China
Wenqiang Pu China
Jiacheng He China
Jianxin Yi China
Jun-Seok Lim relative to Mohammad Reza Taban Iran Mohammad Reza Taban's profile →
Citations per field
00.5×1.5×1.8×
Mohammad Reza Taban · 1×
Citations per year

Countries citing papers authored by Jun-Seok Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Seok Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Seok Lim. 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 Jun-Seok Lim. The network helps show where Jun-Seok Lim may publish in the future.

Co-authors

The 19 scholars most cited alongside Jun-Seok Lim, 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 Jun-Seok Lim Line = papers co-authored together Jun-Seok Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200067
2 201246
3 200446
4 200229
5 201915
6 199914
7 20139
8
Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise
20018
9
Optimal Acoustic Search Path Planning For Sonar System Based On Genetic Algorithm
20077
10 20126
11 20076
12 20165
13 20185
14 20155
15 20155
16 20074
17 20024
18 20094
19 20083
20 20183

About Jun-Seok Lim

Jun-Seok Lim is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 58 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (27 papers), Speech and Audio Processing (25 papers), Blind Source Separation Techniques (22 papers), Underwater Acoustics Research (6 papers), Maritime Navigation and Safety (5 papers), Image and Signal Denoising Methods (5 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Wireless Communication Techniques (4 papers). The work is most often cited by research in Signal Processing (116 citations), Computational Mechanics (109 citations), Computer Networks and Communications (65 citations), Artificial Intelligence (91 citations) and Oceanography (30 citations). Jun-Seok Lim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Koeng-Mo Sung, Seokjin Lee, Sangwook Lee, Seung Joon Baek, Keunhwa Lee, Seong‐Il Kim, Bonhwa Ku, Hanseok Ko, Soonil Kwon and Mark Hasegawa‐Johnson. Their work appears in journals such as Neurocomputing, The Journal of the Acoustical Society of America, Applied Sciences, Electronics Letters and Signal Processing.

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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