Jangwon Kim

46 papers receiving 550 citations

Peers

Jangwon Kim
Comparison fields: 5 of 89
  • Signal Processing 246
  • Experimental and Cognitive Psychology 241
  • Artificial Intelligence 314
  • Physiology 153
  • Linguistics and Language 17
Replace Miloš Cerňak with:
Miloš Cerňak Switzerland
Reima Karhila Finland
Jeffrey Berry United States
Olivier Deroo Belgium
Bruce Denby France
Denis Jouvet France
C. Ris Belgium
Bela Usabaev Germany
Carmén García Mateo Spain
Bundit Thipakorn Thailand
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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 2014114
2 201468
3 201439
4
Enhanced airway-tissue boundary segmentation for real-time magnetic resonance imaging data
201435
5 201632
6 201522
7 202021
8 201520
9 202018
10 201317
11 201715
12 202414
13
Affective Feature Design and Predicting Continuous Affective Dimensions from Music
201412
14 201412
15 201512
16 201112
17 201511
18 201211
19 201010
20
Toward automatic vocal tract area function estimation from accelerated three-dimensional magnetic resonance imaging
201310

About Jangwon Kim

Jangwon Kim is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Sociology and Political Science and Physiology, having authored 48 papers that have together received 610 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (17 papers), Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (17 papers), Music and Audio Processing (9 papers), Emotion and Mood Recognition (6 papers), Voice and Speech Disorders (4 papers), Multisensory perception and integration (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Signal Processing (246 citations), Experimental and Cognitive Psychology (241 citations), Artificial Intelligence (314 citations), Physiology (153 citations) and Linguistics and Language (17 citations). Jangwon Kim has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Shrikanth Narayanan, Sungbok Lee, Naveen Kumar, Asterios Toutios, Ming Li, Prasanta Ghosh, Andreas Tsiartas, Adam C. Lammert, Vikram Ramanarayanan and Yoon‐Chul Kim. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Speech & Language, Nature Communications, Journal of the American Medical Informatics Association and Nano Letters.

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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