Eunmi Oh

1.0k citations
44 papers · 569 indexed · h-index 9

Eunmi Oh

41 papers receiving 542 citations

Peers

Eunmi Oh
Comparison fields: 5 of 77
  • Cognitive Neuroscience 298
  • Signal Processing 157
  • Experimental and Cognitive Psychology 155
  • Computer Vision and Pattern Recognition 145
  • Speech and Hearing 46
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Robert S. Bolia United States
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Citations per field
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Citations per year

Countries citing papers authored by Eunmi Oh

Since Specialization
Citations

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

Fields of papers citing papers by Eunmi Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202213
2 201933
3 20180
4
Music Enhancement by a Novel CNN Architecture
20185
5 201814
6 20183
7 20176
8
Objective Measures of Voice Quality for Mobile Handsets
20161
9
Blind Bandwidth Extension System Utilizing Advanced Spectral Envelope Predictor
20152
10 20152
11
Robust Artificial Bandwidth Extension Technique Using Enhanced Parameter Estimation
20142
12
뇌파 기반 Mental Workload 지표와 N-back 과제 수행 능력 간의 상관관계 연구
20132
13 2013213
14
Perceptual Evaluation of Spatial Audio Quality
20103
15
Stereo Audio Coding Improved by Phase Parameters
20103
16
Enhanced Stereo Coding with Phase Parameters for MPEG Unified Speech and Audio Coding
20094
17
Enhanced Performance in the Functionality of Fine Grain Scalability
20051
18 200514
19
A Real-time Audio Streaming Method for Time-varying Network Loads
20021
20 19968

About Eunmi Oh

Eunmi Oh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Speech and Hearing and Computational Mechanics, having authored 44 papers that have together received 569 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Advanced Data Compression Techniques (11 papers), Music and Audio Processing (8 papers), Advanced Adaptive Filtering Techniques (6 papers), Hearing Loss and Rehabilitation (6 papers), EEG and Brain-Computer Interfaces (5 papers), Air Traffic Management and Optimization (4 papers) and Digital Filter Design and Implementation (4 papers). The work is most often cited by research in Cognitive Neuroscience (298 citations), Signal Processing (157 citations), Experimental and Cognitive Psychology (155 citations), Computer Vision and Pattern Recognition (145 citations) and Speech and Hearing (46 citations). Eunmi Oh has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Mi‐Young Kim, Sung-Phil Kim, Min‐Ki Kim, David Hyunchul Shim, Sangwoo Moon, Robert A. Lutfi, Doris J. Kistler, Michael R. Callahan, Frederic L. Wightman and Zixing Zhang. Their work appears in journals such as Journal of the Audio Engineering Society, The Journal of the Acoustical Society of America, IEEE Signal Processing Letters, Journal of Intelligent & Robotic Systems and IEEE Access.

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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