Kyomin Jung

3.6k total citations · 2 hit papers
114 papers, 2.1k citations indexed

About

Kyomin Jung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Kyomin Jung has authored 114 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 20 papers in Computer Networks and Communications. Recurrent topics in Kyomin Jung's work include Topic Modeling (32 papers), Natural Language Processing Techniques (18 papers) and Multimodal Machine Learning Applications (13 papers). Kyomin Jung is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (18 papers) and Multimodal Machine Learning Applications (13 papers). Kyomin Jung collaborates with scholars based in South Korea, United States and Hong Kong. Kyomin Jung's co-authors include Wei Chen, Sejeong Kwon, Meeyoung Cha, Yajun Wang, Hwanhee Lee, Yanghoon Kim, Seunghyun Yoon, Devavrat Shah, Sungsu Lim and Subhadeep Dey and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kyomin Jung

104 papers receiving 2.0k citations

Hit Papers

Prominent Features of Rumor Propagation in Online Social ... 2013 2026 2017 2021 2013 2017 100 200 300 400 500

Peers

Kyomin Jung
Comparison fields: 5 of 114
  • Artificial Intelligence 925
  • Sociology and Political Science 765
  • Statistical and Nonlinear Physics 747
  • Information Systems 556
  • Computer Networks and Communications 294
Replace Pasquale De Meo with:
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Bimal Viswanath United States
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Cheng–Te Li Taiwan
Anwitaman Datta Singapore
Pasquale De Meo Italy View profile →
Citations per field, relative to Kyomin Jung
Kyomin Jung · 1×
Citations per year, relative to Kyomin Jung
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Countries citing papers authored by Kyomin Jung

Since Specialization
Citations

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

Fields of papers citing papers by Kyomin Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyomin Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Kyomin Jung. A scholar is included among the top collaborators of Kyomin Jung 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 Kyomin Jung. Kyomin Jung 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
# Work Indexed citations
1 1
2 3
3 3
4 3
5 3
6 9
7 2
8 0
9 2
10 0
11 19
12
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
10
13 1
14 23
15 1
16
RESERVOIR INFLOW SIMULATION USING MIKE NAM RAINFALL-RUNOFF MODEL: CASE STUDY OF CAMERON HIGHLANDS
3
17
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
9
18
Prominent Features of Rumor Propagation in Online Social Media breakdown →
544
19
Scalable Kernel k-Means via Centroid Approximation
3
20
IRIE: A Scalable Influence Maximization Algorithm for Independent Cascade Model and Its Extensions
17

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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