Jongwon Choi

3.3k total citations · 1 hit paper
38 papers, 990 citations indexed

About

Jongwon Choi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jongwon Choi has authored 38 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Jongwon Choi's work include Video Surveillance and Tracking Methods (14 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jongwon Choi is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jongwon Choi collaborates with scholars based in South Korea, United Kingdom and United States. Jongwon Choi's co-authors include Jin Young Choi, Sangdoo Yun, Kimin Yun, Youngjoon Yoo, Hyung Jin Chang, Yiannis Demiris, Tobias Fischer, Jiyeoup Jeong, In So Kweon and Byung Tae Ahn and has published in prestigious journals such as Food Chemistry, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jongwon Choi

33 papers receiving 967 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

2017 364 citations Sangdoo Yun, Jongwon Choi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jongwon Choi South Korea	9	871	223	200	143	112	38	990
Jiaolong Xu Spain	13	681 0.8×	131 0.6×	172 0.9×	210 1.5×	74 0.7×	26	887
Kimin Yun South Korea	12	698 0.8×	156 0.7×	94 0.5×	150 1.0×	41 0.4×	30	783
Volker Eiselein Germany	10	719 0.8×	158 0.7×	104 0.5×	242 1.7×	35 0.3×	25	816
Seung‐Hwan Bae South Korea	10	647 0.7×	139 0.6×	92 0.5×	211 1.5×	35 0.3×	28	788
Roman Pflugfelder Austria	9	663 0.8×	198 0.9×	92 0.5×	73 0.5×	43 0.4×	22	758
Horst Possegger Austria	12	600 0.7×	127 0.6×	64 0.3×	190 1.3×	36 0.3×	38	714
David Duggins United States	6	874 1.0×	161 0.7×	119 0.6×	187 1.3×	13 0.1×	9	1.0k
Stefan Munder Germany	5	888 1.0×	106 0.5×	119 0.6×	254 1.8×	18 0.2×	5	1000
Dongdong Li China	13	354 0.4×	130 0.6×	55 0.3×	67 0.5×	34 0.3×	58	562

Countries citing papers authored by Jongwon Choi

Since Specialization

Citations

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

Fields of papers citing papers by Jongwon Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongwon Choi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ahn, Sangdoo, et al.. (2025). RICH: Coin data restoration using inpainting for cultural heritage analysis. ETRI Journal.

2.

Jin, Shiyu, Jongwon Choi, & Haneul Lee. (2025). Effect of Myofascial Release on Pain and Uterine Artery Hemodynamic Indices in Women with Primary Dysmenorrhea: A Randomized Controlled Trial. Medicina. 61(10). 1736–1736.

3.

Choi, Jongwon, et al.. (2024). Ultrasound Imaging Comparison of Crural Fascia Thickness and Muscle Stiffness in Stroke Patients with Spasticity. Diagnostics. 14(22). 2606–2606. 1 indexed citations

4.

Choi, Jongwon, et al.. (2024). Active Learning System for Autonomous Vehicle Object Detection. 11(1). 55–58. 1 indexed citations

5.

Cha, Sungmin, et al.. (2023). Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access. 11. 16631–16643. 1 indexed citations

6.

Kim, Hyeongmin, et al.. (2023). Geographical discrimination of Asian red pepper powders using 1H NMR spectroscopy and deep learning-based convolution neural networks. Food Chemistry. 439. 138082–138082. 4 indexed citations

7.

Choi, Jongwon, et al.. (2022). Data Augmentation for Wildlife Animal Recognition Using Style Transfer. 1–3. 2 indexed citations

8.

Choi, Jongwon, et al.. (2020). Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10655–10662. 5 indexed citations

9.

Nguyen, Diep, et al.. (2018). Opting In, Opting Out: A Decade Later. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 5 indexed citations

10.

Hong, Seok‐Jun, et al.. (2018). Classification of Radar Signals Using Machine Learning Techniques. Journal of IKEEE. 22(1). 162–167. 1 indexed citations

11.

Yun, Sangdoo, Jongwon Choi, Youngjoon Yoo, Kimin Yun, & Jin Young Choi. (2018). Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 29(6). 2239–2252. 50 indexed citations

12.

Jeong, Jiyeoup, et al.. (2018). Selective Ensemble Network for Accurate Crowd Density Estimation. 320–325. 3 indexed citations

13.

Choi, Jongwon, Hyung Jin Chang, Sangdoo Yun, et al.. (2017). Attentional Correlation Filter Network for Adaptive Visual Tracking. University of Birmingham Research Portal (University of Birmingham). 4828–4837. 244 indexed citations

14.

Yun, Sangdoo, Jongwon Choi, Youngjoon Yoo, Kimin Yun, & Jin Young Choi. (2017). Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. 1349–1358. 364 indexed citations breakdown →

15.

Choi, Jongwon, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, & Jin Young Choi. (2016). Visual Tracking Using Attention-Modulated Disintegration and Integration. University of Birmingham Research Portal (University of Birmingham). 4321–4330. 138 indexed citations

16.

Shim, Inwook, Jongwon Choi, Seunghak Shin, et al.. (2015). An Autonomous Driving System for Unknown Environments Using a Unified Map. IEEE Transactions on Intelligent Transportation Systems. 16(4). 1999–2013. 36 indexed citations

17.

Kim, Jeongseob, et al.. (2015). Opting in, Opting Out a Decade Later. SSRN Electronic Journal. 6 indexed citations

18.

Lee, Byeong‐Ju, Jongwon Choi, Kimin Yun, & Jin Young Choi. (2015). Gradient preserving RGB-to-gray conversion using random forest. 3170–3174. 4 indexed citations

19.

Choi, Jongwon, Hyeongwoo Kim, Tae-Hyun Oh, & In So Kweon. (2014). Balanced optical flow refinement by bidirectional constraint. 5477–5481.

20.

Choi, Jongwon, Byung Tae Ahn, & In So Kweon. (2013). Crosswalk and traffic light detection via integral framework. 309–312. 18 indexed citations

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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