Jaewoong Choi

1.1k total citations
40 papers, 739 citations indexed

About

Jaewoong Choi is a scholar working on Automotive Engineering, Management of Technology and Innovation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaewoong Choi has authored 40 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 7 papers in Management of Technology and Innovation and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaewoong Choi's work include Vehicle Dynamics and Control Systems (8 papers), Intellectual Property and Patents (7 papers) and Electric and Hybrid Vehicle Technologies (6 papers). Jaewoong Choi is often cited by papers focused on Vehicle Dynamics and Control Systems (8 papers), Intellectual Property and Patents (7 papers) and Electric and Hybrid Vehicle Technologies (6 papers). Jaewoong Choi collaborates with scholars based in South Korea, United States and United Kingdom. Jaewoong Choi's co-authors include Kyongsu Yi, Janghyeok Yoon, Jae-Min Lee, Byoung‐Youl Coh, Byeongki Jeong, Seongjin Yim, Wanki Cho, Seibum B. Choi, Seunghyun Oh and In‐Cheol Park and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Materials Chemistry A and IEEE Access.

In The Last Decade

Jaewoong Choi

33 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaewoong Choi South Korea 16 312 184 117 111 81 40 739
Konstantinos Georgoulias Greece 16 64 0.2× 183 1.0× 138 1.2× 123 1.1× 35 0.4× 24 1.3k
Zhenghui Sha United States 17 129 0.4× 71 0.4× 234 2.0× 139 1.3× 38 0.5× 97 710
Zhiqian Sang China 9 67 0.2× 137 0.7× 137 1.2× 82 0.7× 29 0.4× 18 938
Santosh Bhosle India 9 57 0.2× 101 0.5× 186 1.6× 66 0.6× 42 0.5× 23 1.0k
Olaf Sauer Germany 7 62 0.2× 93 0.5× 84 0.7× 116 1.0× 53 0.7× 20 1.3k
Peter Burggräf Germany 15 62 0.2× 60 0.3× 88 0.8× 129 1.2× 67 0.8× 137 813
Andreja Rojko Slovenia 9 62 0.2× 156 0.8× 149 1.3× 65 0.6× 41 0.5× 37 1.1k
Farouk Belkadi France 18 66 0.2× 43 0.2× 109 0.9× 188 1.7× 88 1.1× 57 852
Natalia Kliewer Germany 17 569 1.8× 104 0.6× 31 0.3× 26 0.2× 32 0.4× 52 1.2k
Jürgen Gausemeier Germany 13 43 0.1× 100 0.5× 124 1.1× 172 1.5× 48 0.6× 110 792

Countries citing papers authored by Jaewoong Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jaewoong Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewoong Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewoong Choi. A scholar is included among the top collaborators of Jaewoong 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 Jaewoong Choi. Jaewoong 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
1.
Choi, Jiwoo, Jaewoong Choi, Kihoon Bang, et al.. (2025). MaTableGPT: GPT‐Based Table Data Extractor from Materials Science Literature. Advanced Science. 12(16). e2408221–e2408221. 4 indexed citations
2.
Choi, Jaewoong, et al.. (2024). Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation. Pattern Recognition. 157. 110914–110914.
3.
Choi, Jiwoo, Kihoon Bang, Jaewoong Choi, et al.. (2023). Deep learning of electrochemical CO2 conversion literature reveals research trends and directions. Journal of Materials Chemistry A. 11(33). 17628–17643. 9 indexed citations
4.
Choi, Jaewoong, et al.. (2023). Quantitative Topic Analysis of Materials Science Literature Using Natural Language Processing. ACS Applied Materials & Interfaces. 16(2). 1957–1968. 13 indexed citations
5.
Lee, Seung‐Hyun, et al.. (2023). Towards firm-specific technology opportunities: A rule-based machine learning approach to technology portfolio analysis. Journal of Informetrics. 17(4). 101464–101464. 4 indexed citations
6.
Chung, Jaehoon, Jaewoong Choi, Sujin Park, et al.. (2023). Chiplet Heterogeneous-Integration AI Processor. 1–2. 6 indexed citations
7.
Choi, Jaewoong, et al.. (2022). A two-stage deep learning-based system for patent citation recommendation. Scientometrics. 127(11). 6615–6636. 16 indexed citations
8.
Jeong, Byeongki, Janghyeok Yoon, & Jaewoong Choi. (2022). Time-Aware Topic Identification in Social Media with Pre-Trained Language Models: A Case Study of Electric Vehicles. SSRN Electronic Journal. 2 indexed citations
9.
Choi, Jaewoong, Dae Ha Kim, Sanghyuk Lee, Sang-Hyuk Lee, & Byung Cheol Song. (2022). Synthesized rain images for deraining algorithms. Neurocomputing. 492. 421–439. 7 indexed citations
10.
Choi, Jaewoong, et al.. (2021). Real-Time SSDLite Object Detection on FPGA. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29(6). 1192–1205. 27 indexed citations
11.
Kim, Dongchan, et al.. (2021). DSA-GAN: Driving Style Attention Generative Adversarial Network for Vehicle Trajectory Prediction. 1515–1520. 8 indexed citations
12.
Choi, Jaewoong, Seunghyun Oh, Janghyeok Yoon, Jae-Min Lee, & Byoung‐Youl Coh. (2020). Identification of time-evolving product opportunities via social media mining. Technological Forecasting and Social Change. 156. 120045–120045. 39 indexed citations
13.
Oh, Seunghyun, et al.. (2020). Predicting product development directions for new product planning using patent classification-based link prediction. Scientometrics. 125(3). 1833–1876. 24 indexed citations
14.
Choi, Jaewoong, Jae‐Hyuk Jang, Dae Hwan Kim, & Janghyeok Yoon. (2019). Identifying Interdisciplinary Trends of Humanities, Sociology, Science and Technology Research in Korea Using Topic Modeling and Network Analysis. Journal of Society of Korea Industrial and Systems Engineering. 42(1). 74–86. 1 indexed citations
15.
Choi, Jaewoong, et al.. (2013). Lane-keeping assistance control algorithm using differential braking to prevent unintended lane departures. Control Engineering Practice. 23. 1–13. 61 indexed citations
16.
Kim, Kyuwon, et al.. (2012). Integrated Risk Index Plane Development for Advanced Driver Assistant System. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 1 indexed citations
17.
Cho, Wanki, et al.. (2012). Unified Chassis Control for the Improvement of Agility, Maneuverability, and Lateral Stability. IEEE Transactions on Vehicular Technology. 61(3). 1008–1020. 93 indexed citations
18.
Choi, Jaewoong, et al.. (2012). Development of supervisory control strategy for optimized fuel consumption of the compound hybrid excavator. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 226(12). 1652–1666. 30 indexed citations
19.
Choi, Jaewoong, et al.. (2011). Development of Power Management Strategies for a Compound Hybrid Excavator. Transactions of the Korean Society of Mechanical Engineers A. 35(12). 1537–1542. 5 indexed citations
20.
Choi, Jaewoong, Kyu‐Won Kim, & Kyongsu Yi. (2011). Emergency driving support algorithm with steering torque overlay and differential braking. 1433–1439. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026