Koeng-Mo Sung

735 citations
74 papers · 513 · h-index 12

Impact in

Papers in

Koeng-Mo Sung

61 papers receiving 465 citations

Peers

Koeng-Mo Sung
Comparison fields: 5 of 64
  • Signal Processing 203
  • Computer Vision and Pattern Recognition 150
  • Computational Mechanics 128
  • Computer Networks and Communications 79
  • Control and Systems Engineering 74
Replace Dae Hee Youn with:
Dae Hee Youn South Korea
Udo Zölzer Germany
M. Turki-Hadj Alouane Tunisia
Christian Lauterbach United States
Junghsi Lee Taiwan
Aziza I. Hussein Egypt
Shing‐Tai Pan Taiwan
Karsten Fyhn Denmark
B. Baykal Türkiye
Yong Fang China
Koeng-Mo Sung relative to Dae Hee Youn South Korea Dae Hee Youn's profile →
Citations per field
00.5×1.5×2.3×
Dae Hee Youn · 1×
Citations per year

Countries citing papers authored by Koeng-Mo Sung

Since Specialization
Citations

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

Fields of papers citing papers by Koeng-Mo Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koeng-Mo Sung. 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 Koeng-Mo Sung. The network helps show where Koeng-Mo Sung may publish in the future.

Co-authors

The 23 scholars most cited alongside Koeng-Mo Sung, 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 Koeng-Mo Sung Line = papers co-authored together Koeng-Mo Sung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199777
2 200067
3 199758
4 200446
5 200229
6 199722
7
Objective Measurement of Perceived Auditory Quality in Multichannel Audio Compression Coding Systems
200817
8 199614
9 200614
10 199914
11 201112
12 200011
13 200211
14
Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise
20018
15 19998
16
Filtering of a dissonant frequency based on improved fundamental frequency estimation for speech enhancement
20036
17 20076
18 20055
19 20065
20 20024

About Koeng-Mo Sung

Koeng-Mo Sung is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 74 papers that have together received 513 indexed citations. Recurring topics across this work include Speech and Audio Processing (32 papers), Advanced Adaptive Filtering Techniques (20 papers), Blind Source Separation Techniques (13 papers), Advanced Wireless Communication Techniques (9 papers), Music Technology and Sound Studies (8 papers), Hearing Loss and Rehabilitation (8 papers), Image and Signal Denoising Methods (8 papers) and Advanced Data Compression Techniques (8 papers). The work is most often cited by research in Signal Processing (203 citations), Computer Vision and Pattern Recognition (150 citations), Computational Mechanics (128 citations), Computer Networks and Communications (79 citations) and Control and Systems Engineering (74 citations). Koeng-Mo Sung has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jun-Seok Lim, Sangwook Lee, Seung Joon Baek, Seokjin Lee, Ki Yong Lee, Inyong Choi, Jeffrey G. Andrews, Jin Young Kim, Barbara Shinn‐Cunningham and Jae-Jin Jeon. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Journal of the Audio Engineering Society, Electronics Letters, IEEE Signal Processing 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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