Jongeun Choi

3.7k total citations · 1 hit paper
178 papers, 2.6k citations indexed

About

Jongeun Choi is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jongeun Choi has authored 178 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Control and Systems Engineering, 42 papers in Artificial Intelligence and 31 papers in Computer Networks and Communications. Recurrent topics in Jongeun Choi's work include Target Tracking and Data Fusion in Sensor Networks (26 papers), Gaussian Processes and Bayesian Inference (18 papers) and Distributed Sensor Networks and Detection Algorithms (17 papers). Jongeun Choi is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (26 papers), Gaussian Processes and Bayesian Inference (18 papers) and Distributed Sensor Networks and Detection Algorithms (17 papers). Jongeun Choi collaborates with scholars based in United States, South Korea and Canada. Jongeun Choi's co-authors include Yunfei Xu, Songhwai Oh, Roberto Horowitz, Seungik Baek, Jin‐Woo Kim, Guoming Zhu, Clark J. Radcliffe, Andrew White, John M. Popovich and Tapabrata Maiti and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Jongeun Choi

173 papers receiving 2.5k citations

Hit Papers

Automated Skeletal Classification with Lateral Cephalomet... 2020 2026 2022 2024 2020 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongeun Choi United States 27 588 506 499 423 299 178 2.6k
Gui‐Bin Bian China 26 153 0.3× 356 0.7× 765 1.5× 167 0.4× 212 0.7× 140 2.9k
Heinz Wörn Germany 25 791 1.3× 178 0.4× 1.0k 2.0× 219 0.5× 96 0.3× 244 2.3k
Ka‐Wai Kwok Hong Kong 32 777 1.3× 94 0.2× 1.5k 3.1× 242 0.6× 292 1.0× 141 3.0k
Khaled Assaleh United Arab Emirates 29 217 0.4× 762 1.5× 469 0.9× 129 0.3× 441 1.5× 143 2.7k
Shuang Song China 35 650 1.1× 235 0.5× 1.9k 3.7× 167 0.4× 924 3.1× 237 4.3k
Pau‐Choo Chung Taiwan 27 127 0.2× 803 1.6× 329 0.7× 100 0.2× 139 0.5× 157 2.8k
Atsushi Yamashita Japan 27 482 0.8× 218 0.4× 380 0.8× 178 0.4× 219 0.7× 404 3.6k
Farrokh Janabi‐Sharifi Canada 35 1.9k 3.2× 359 0.7× 1.1k 2.1× 221 0.5× 964 3.2× 204 5.5k
Pedro P. Rebouças Filho Brazil 34 208 0.4× 1.0k 2.0× 399 0.8× 240 0.6× 317 1.1× 152 3.7k
Yang Zhao China 25 107 0.2× 966 1.9× 446 0.9× 187 0.4× 442 1.5× 142 4.7k

Countries citing papers authored by Jongeun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jongeun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongeun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jongeun Choi. A scholar is included among the top collaborators of Jongeun 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 Jongeun Choi. Jongeun 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.
Popovich, John M., Jacek Cholewicki, N. Peter Reeves, et al.. (2024). The effects of osteopathic manipulative treatment on pain and disability in patients with chronic low back pain: a single-blinded randomized controlled trial. Journal of Osteopathic Medicine. 124(5). 219–230. 1 indexed citations
2.
Jeong, Han‐Seong, et al.. (2024). AI-based dental caries and tooth number detection. International Dental Journal. 74. S213–S214. 1 indexed citations
3.
Lim, Chae Young, et al.. (2024). Spatial regression with multiplicative errors, and its application with LiDAR measurements. Journal of the Korean Statistical Society. 53(4). 1177–1204. 2 indexed citations
4.
Kim, Young‐Min, Beom‐Jun Kim, Jongeun Choi, et al.. (2024). Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions]. IEEE Robotics & Automation Magazine. 31(1). 123–132. 3 indexed citations
6.
Kim, Jin‐Woo, et al.. (2023). AI-based dental caries and tooth number detection in intraoral photos: Model development and performance evaluation. Journal of Dentistry. 141. 104821–104821. 17 indexed citations
7.
Park, Jehyun, et al.. (2023). Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations. Engineering Applications of Artificial Intelligence. 123. 106465–106465. 6 indexed citations
8.
Choi, Jongeun, et al.. (2023). Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives. IFAC-PapersOnLine. 56(3). 529–534. 1 indexed citations
9.
Lim, Chae Young, Jongeun Choi, Ahmed Ramadan, et al.. (2022). Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking. Engineering Applications of Artificial Intelligence. 113. 104974–104974. 4 indexed citations
10.
Kim, Jung‐Hoon, et al.. (2022). Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human–Robot Interaction via Deep Reinforcement Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2186–2197. 18 indexed citations
12.
Choi, Jongeun, et al.. (2022). A warning system for urolithiasis via retrograde intrarenal surgery using machine learning: an experimental study. BMC Urology. 22(1). 80–80. 4 indexed citations
13.
Choi, Jongeun, et al.. (2021). Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. Computers in Biology and Medicine. 133. 104394–104394. 15 indexed citations
15.
Zhang, Liangliang, Byron A. Zambrano, Jongeun Choi, et al.. (2020). Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model. Journal of International Medical Research. 48(11). 1220768001–1220768001. 4 indexed citations
16.
Zambrano, Byron A., Hamidreza Gharahi, Farhad Jaberi, et al.. (2015). Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion Using Longitudinal CT Images. Annals of Biomedical Engineering. 44(5). 1502–1514. 89 indexed citations
17.
Choi, Jongeun, Mun Seok Jo, Eun Lee, & DooSeok Choi. (2014). ERK1/2 is involved in luteal cell autophagy regulation during corpus luteum regression via an mTOR-independent pathway. Molecular Human Reproduction. 20(10). 972–980. 27 indexed citations
18.
Choi, Jongeun, Soo Jeon, Nicholas S. Johnson, Cory O. Brant, & Weiming Li. (2013). Odor-conditioned rheotaxis of the sea lamprey: modeling, analysis and validation. Bioinspiration & Biomimetics. 8(4). 46011–46011. 5 indexed citations
19.
Choi, Jongeun, et al.. (2010). Robust optimal design of diffusion-weighted magnetic resonance experiments for skin microcirculation. Journal of Magnetic Resonance. 206(2). 246–254. 4 indexed citations
20.
Park, Eun‐Sook, et al.. (2005). The Changes of Foot Pressure Distribution in Spastic Cerebral Palsy with Equinus Deformity following Corrective Surgery. Annals of Rehabilitation Medicine. 29(5). 507–512. 1 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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