Jongwook Choi

20 papers receiving 233 citations

Peers

Jongwook Choi
Comparison fields: 5 of 29
  • Computer Vision and Pattern Recognition 198
  • Artificial Intelligence 102
  • Computational Mechanics 11
  • Hardware and Architecture 9
  • Aerospace Engineering 9
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Citations per year

Countries citing papers authored by Jongwook Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jongwook Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongwook Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jongwook Choi. A scholar is included among the top collaborators of Jongwook Choi 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 Jongwook Choi. Jongwook Choi 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
#WorkIndexed citations
1 0
2 0
3 20
4 4
5
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
2
6 2
7 1
8 1
9 2
10
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy.
2
11
Exception and Interrupt Handling of Flight Software with VxWorks RTOS for PCI-based LEO On-Board Computer
0
12
Contingency-Aware Exploration in Reinforcement Learning
10
13 148
14
Video Captioning and Retrieval Models with Semantic Attention.
20
15 2
16
Development of high performance space processor emulator based on QEMU — Open source dynamic translator
2
17
Development and Validation of Personality Self Assessment Scale for Preschool Teachers
0
18
Virtualized System Development Based on ERC32 Processor for Satellite Simulator
2
19
SketchBrain: An Interactive Information Seeking Interface for Exploratory Search
1
20
Effect of Accession to OPRC-HNS Protocol on Korean Industry
1

About Jongwook Choi

Jongwook Choi is a scholar working on Leadership and Management, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 242 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Spacecraft Design and Technology (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (102 citations) and Hardware and Architecture (9 citations). Jongwook Choi has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hyungjin Ko, Youngjae Yu, Gunhee Kim, R. S. Amano, Yonghyun Jeong, Jongwon Choi, Honglak Lee, Taehoon Kim, Seungryul Baek and Mohammad Norouzi. Their work appears in journals such as Numerical Heat Transfer Part A Applications, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES and arXiv (Cornell University).

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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