Jangwon Kim

899 citations
48 papers · 652 · h-index 13

Impact in

Papers in

Jangwon Kim

46 papers receiving 582 citations

Peers

Jangwon Kim
Comparison fields: 5 of 94
  • Signal Processing 250
  • Experimental and Cognitive Psychology 258
  • Artificial Intelligence 319
  • Physiology 152
  • Linguistics and Language 25
Replace Miloš Cerňak with:
Miloš Cerňak Switzerland
Reima Karhila Finland
Tamás Gábor Csapó Hungary
Aitzol Ezeiza Spain
Olivier Deroo Belgium
Bruce Denby France
Michael McAuliffe United States
C. Ris Belgium
Hong-Kwang Jeff Kuo United States
Denis Jouvet France
Jangwon Kim relative to Miloš Cerňak Switzerland Miloš Cerňak's profile →
Citations per field
00.5×2×4×6×
Miloš Cerňak · 1×
Citations per year

Countries citing papers authored by Jangwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jangwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014126
2 201472
3 201443
4
Enhanced airway-tissue boundary segmentation for real-time magnetic resonance imaging data
201435
5 201632
6 201524
7 201323
8 201521
9 202019
10 202019
11 202416
12 201513
13 201513
14 201013
15 201113
16 201212
17 201712
18
Affective Feature Design and Predicting Continuous Affective Dimensions from Music
201412
19 201411
20 202410

About Jangwon Kim

Jangwon Kim is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language and Physiology, having authored 48 papers that have together received 652 indexed citations. Recurring topics across this work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (15 papers), Phonetics and Phonology Research (15 papers), Music and Audio Processing (8 papers), Emotion and Mood Recognition (7 papers), Voice and Speech Disorders (4 papers), Speech and dialogue systems (3 papers) and Multisensory perception and integration (3 papers). The work is most often cited by research in Signal Processing (250 citations), Experimental and Cognitive Psychology (258 citations), Artificial Intelligence (319 citations), Physiology (152 citations) and Linguistics and Language (25 citations). Jangwon Kim has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Shrikanth Shri Narayanan, Sungbok Lee, Naveen Kumar, Ming Li, Asterios Toutios, Andreas Tsiartas, Prasanta Ghosh, Adam C. Lammert, Vikram Ramanarayanan and Krishna S. Nayak. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Speech & Language, Nano Letters, Information Sciences and Nature Communications.

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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