Jun-young Kwak

34 papers receiving 295 citations

Peers

Jun-young Kwak
Comparison fields: 5 of 69
  • Building and Construction 75
  • Management Science and Operations Research 38
  • Transportation 18
  • Control and Systems Engineering 53
  • Civil and Structural Engineering 48
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Jihua Ye China
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Seungwon Jung South Korea
Hatem A. Fayed Egypt
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Citations per year

Countries citing papers authored by Jun-young Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Jun-young Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200942
2
Urban security: game-theoretic resource allocation in networked physical domains
201032
3 201226
4 201225
5 201021
6 201119
7 201614
8 201313
9 201312
10 200711
11 201311
12 202211
13 20139
14
Towards Optimal Planning for Distributed Coordination Under Uncertainty in Energy Domains
20117
15 20147
16 20066
17
Combining Cost and Reliability for Rough Terrain Navigation
20075
18 20115
19 20104
20 20113

About Jun-young Kwak

Jun-young Kwak is a scholar working on Aerospace Engineering, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Building and Construction, having authored 35 papers that have together received 310 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (5 papers), Robotics and Sensor-Based Localization (4 papers), AI-based Problem Solving and Planning (4 papers), Reinforcement Learning in Robotics (4 papers), Smart Grid Energy Management (4 papers), Evacuation and Crowd Dynamics (4 papers), Transportation and Mobility Innovations (4 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). The work is most often cited by research in Building and Construction (75 citations), Management Science and Operations Research (38 citations), Transportation (18 citations), Control and Systems Engineering (53 citations) and Civil and Structural Engineering (48 citations). Jun-young Kwak has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Milind Tambe, Pradeep Varakantham, Burçin Becerik-Gerber, Zhengyu Yin, Geoffrey Kavulya, Wendy Wood, David Kempe, Christopher Kiekintveld, Jason Tsai and Matthew E. Taylor. Their work appears in journals such as Computational Mechanics, Journal of Aerospace Engineering, Journal of Computational Science, Autonomous Agents and Multi-Agent Systems and International Journal of Precision Engineering and Manufacturing.

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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