Kwang-Sung Jun

739 total citations
18 papers, 291 citations indexed

About

Kwang-Sung Jun is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Kwang-Sung Jun has authored 18 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Kwang-Sung Jun's work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (8 papers) and Topic Modeling (3 papers). Kwang-Sung Jun is often cited by papers focused on Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (8 papers) and Topic Modeling (3 papers). Kwang-Sung Jun collaborates with scholars based in United States, Germany and China. Kwang-Sung Jun's co-authors include Xiaojin Zhu, Junming Xu, Amy Bellmore, Robert D. Nowak, Timothy T. Rogers, Joseph G. Harrison, Charles W. Kalish, Bryan R. Gibson, Joseph L. Austerweil and Jeffrey C. Zemla and has published in prestigious journals such as IEEE Transactions on Information Theory, Cognitive Science and Natural hazards and earth system sciences.

In The Last Decade

Kwang-Sung Jun

18 papers receiving 259 citations

Peers

Kwang-Sung Jun
Comparison fields: 5 of 56
  • Artificial Intelligence 233
  • Social Psychology 104
  • Information Systems 54
  • Signal Processing 43
  • Communication 36
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Luísa Coheur Portugal
Manoj Kumar Chinnakotla India
Alyssa Lees United States
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David Martins de Matos Portugal
Ugur Kursuncu United States
Shoaib Jameel United Kingdom
Johannes Knopp Germany
Tommaso Fornaciari Italy
Mudasir Ahmad Wani Saudi Arabia
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Citations per field, relative to Kwang-Sung Jun
Kwang-Sung Jun · 1×
Citations per year, relative to Kwang-Sung Jun
Kwang-Sung Jun · 1×

Countries citing papers authored by Kwang-Sung Jun

Since Specialization
Citations

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

Fields of papers citing papers by Kwang-Sung Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang-Sung Jun. 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 Kwang-Sung Jun. The network helps show where Kwang-Sung Jun may publish in the future.

Co-authorship network of co-authors of Kwang-Sung Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang-Sung Jun. A scholar is included among the top collaborators of Kwang-Sung Jun 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 Kwang-Sung Jun. Kwang-Sung Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 4
3 1
4
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
2
5
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
1
6
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
1
7
Parameter-Free Online Convex Optimization with Sub-Exponential Noise
2
8 12
9
Scalable Generalized Linear Bandits: Online Computation and Hashing
5
10 5
11
U-INVITE: Estimating Individual Semantic Networks from Fluency Data.
12
12
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls
6
13 7
14
Anytime Exploration for Multi-armed Bandits using Confidence Information.
2
15
Human memory search as initial-visit emitting random walk
7
16
Learning from Human-Generated Lists
3
17
Learning from Bullying Traces in Social Media
196
18
Cognitive Models of Test-Item Effects in Human Category Learning
23

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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2026