Jangwon Kim

858 total citations
48 papers, 591 citations indexed

About

Jangwon Kim is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Jangwon Kim has authored 48 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Signal Processing and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Jangwon Kim's work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers) and Phonetics and Phonology Research (17 papers). Jangwon Kim is often cited by papers focused on Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers) and Phonetics and Phonology Research (17 papers). Jangwon Kim collaborates with scholars based in United States, South Korea and India. Jangwon Kim's co-authors include Shrikanth Narayanan, Sungbok Lee, Naveen Kumar, Asterios Toutios, Ming Li, Prasanta Ghosh, Adam C. Lammert, Andreas Tsiartas, Vikram Ramanarayanan and Yoon‐Chul Kim and has published in prestigious journals such as Nature Communications, Nano Letters and The Journal of the Acoustical Society of America.

In The Last Decade

Jangwon Kim

46 papers receiving 531 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jangwon Kim United States 13 320 250 245 161 48 48 591
Mireia Farrús Spain 14 459 1.4× 214 0.9× 150 0.6× 87 0.5× 30 0.6× 70 654
Xixin Wu Hong Kong 17 705 2.2× 499 2.0× 209 0.9× 98 0.6× 27 0.6× 106 916
Alberto Abad Portugal 15 423 1.3× 384 1.5× 94 0.4× 44 0.3× 71 1.5× 101 736
Suman Deb India 14 160 0.5× 277 1.1× 279 1.1× 85 0.5× 44 0.9× 38 559
Reima Karhila Finland 11 380 1.2× 213 0.9× 112 0.5× 27 0.2× 52 1.1× 30 570
Yassine Ben Ayed Tunisia 10 142 0.4× 135 0.5× 90 0.4× 47 0.3× 53 1.1× 33 350
Abhinav Sethy United States 23 1.2k 3.9× 637 2.5× 186 0.8× 59 0.4× 26 0.5× 73 1.4k
Mehmet Bilal Er Türkiye 9 94 0.3× 149 0.6× 86 0.4× 43 0.3× 51 1.1× 27 377
Sanyuan Chen China 13 1.1k 3.4× 763 3.1× 136 0.6× 31 0.2× 33 0.7× 26 1.4k
Yousef Ajami Alotaibi Saudi Arabia 18 606 1.9× 520 2.1× 243 1.0× 12 0.1× 51 1.1× 124 988

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-authorship network of co-authors of Jangwon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jangwon Kim. A scholar is included among the top collaborators of Jangwon Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jangwon Kim. Jangwon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Lee, Jongsoo, et al.. (2025). A local patch regression-based generative model for urban flood prediction in data-poor areas. Expert Systems with Applications. 280. 127489–127489. 1 indexed citations
3.
Lee, Jongsoo, et al.. (2025). Overcoming intermittent instability in reinforcement learning via gradient norm preservation. Information Sciences. 709. 122081–122081. 1 indexed citations
4.
Lee, Jaewon, Jangwon Kim, Gregor Posnjak, et al.. (2024). DNA Origami Colloidal Crystals: Opportunities and Challenges. Nano Letters. 25(1). 16–27. 8 indexed citations
5.
Aali, Asad, Dave Van Veen, Jason Hom, et al.. (2024). A dataset and benchmark for hospital course summarization with adapted large language models. Journal of the American Medical Informatics Association. 32(3). 470–479. 8 indexed citations
6.
Liu, Xiaofeng, Fangxu Xing, Maureen Stone, et al.. (2022). Tagged-MRI to audio synthesis with a pairwise heterogeneous deep translator. The Journal of the Acoustical Society of America. 151(4_Supplement). A133–A133. 3 indexed citations
7.
Kim, Jangwon, Jin H. Bae, Michael Baym, & David Y. Zhang. (2020). Metastable hybridization-based DNA information storage to allow rapid and permanent erasure. Nature Communications. 11(1). 5008–5008. 17 indexed citations
8.
Kim, Jangwon, Asterios Toutios, Sungbok Lee, & Shrikanth Narayanan. (2020). Vocal tract shaping of emotional speech. Computer Speech & Language. 64. 101100–101100. 19 indexed citations
9.
Kim, Jangwon, et al.. (2016). Relations between prominence and articulatory-prosodic cues in emotional speech. 893–896. 1 indexed citations
10.
Toutios, Asterios, Sajan Goud Lingala, Jangwon Kim, et al.. (2016). Illustrating the Production of the International Phonetic Alphabet Sounds Using Fast Real-Time Magnetic Resonance Imaging. 2428–2432. 8 indexed citations
11.
Li, Ming, Jangwon Kim, Adam C. Lammert, et al.. (2015). Speaker verification based on the fusion of speech acoustics and inverted articulatory signals. Computer Speech & Language. 36. 196–211. 22 indexed citations
12.
Kumar, Naveen, Rahul Gupta, Tanaya Guha, et al.. (2014). Affective Feature Design and Predicting Continuous Affective Dimensions from Music. MediaEval. 12 indexed citations
13.
Kim, Jangwon, Naveen Kumar, Andreas Tsiartas, Ming Li, & Shrikanth Narayanan. (2014). Automatic intelligibility classification of sentence-level pathological speech. Computer Speech & Language. 29(1). 132–144. 67 indexed citations
14.
Segbroeck, Maarten Van, et al.. (2014). Classification of cognitive load from speech using an i-vector framework. 751–755. 39 indexed citations
15.
Narayanan, Shrikanth, Asterios Toutios, Vikram Ramanarayanan, et al.. (2014). Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC). The Journal of the Acoustical Society of America. 136(3). 1307–1311. 112 indexed citations
16.
Kim, Jangwon, Adam C. Lammert, Prasanta Ghosh, & Shrikanth Narayanan. (2013). Spatial and temporal alignment of multimodal human speech production data: Real time imaging, flesh point tracking and audio. 17. 3637–3641. 4 indexed citations
17.
Song, Sa-Kwang, Myunggwon Hwang, Jangwon Kim, et al.. (2013). Prescriptive Analytics System for Improving Research Power. 1144–1145. 16 indexed citations
18.
Kim, Jangwon, Sungbok Lee, & Shrikanth Narayanan. (2011). An exploratory study of the relations between perceived emotion strength and articulatory kinematics. 12 indexed citations
19.
Kim, Jangwon, Sungbok Lee, & Shrikanth Narayanan. (2009). A detailed study of word-position effects on emotion expression in speech. 1987–1990. 2 indexed citations
20.

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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