Jaemook Choi

680 total citations
27 papers, 486 citations indexed

About

Jaemook Choi is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jaemook Choi has authored 27 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Civil and Structural Engineering, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Jaemook Choi's work include Structural Health Monitoring Techniques (22 papers), Optical measurement and interference techniques (7 papers) and Infrastructure Maintenance and Monitoring (7 papers). Jaemook Choi is often cited by papers focused on Structural Health Monitoring Techniques (22 papers), Optical measurement and interference techniques (7 papers) and Infrastructure Maintenance and Monitoring (7 papers). Jaemook Choi collaborates with scholars based in South Korea, China and Hong Kong. Jaemook Choi's co-authors include Hoon Sohn, Zhanxiong Ma, Kiyoung Kim, Peipei Liu, Yang Liu, Inhwan Bae, Jun Young Chung, Yun‐Kyu An, Young G. Kim and Soonkyu Hwang and has published in prestigious journals such as Sensors, Mechanical Systems and Signal Processing and Automation in Construction.

In The Last Decade

Jaemook Choi

25 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaemook Choi South Korea 12 344 158 124 64 63 27 486
David A. Ehrhardt United States 13 303 0.9× 206 1.3× 106 0.9× 76 1.2× 130 2.1× 29 695
Tianyun Liu China 13 374 1.1× 55 0.3× 56 0.5× 81 1.3× 16 0.3× 46 591
Tae W. Lim United States 11 322 0.9× 72 0.5× 30 0.2× 66 1.0× 98 1.6× 28 459
Yuehua Li China 10 58 0.2× 155 1.0× 55 0.4× 55 0.9× 26 0.4× 49 324
Wenliang Zhou China 7 214 0.6× 148 0.9× 88 0.7× 123 1.9× 52 0.8× 16 454
Xiangcheng Chen China 19 71 0.2× 772 4.9× 184 1.5× 229 3.6× 34 0.5× 56 897
Y. F. Xu United States 17 567 1.6× 285 1.8× 65 0.5× 197 3.1× 22 0.3× 42 760
Mark A Rumsey United States 11 270 0.8× 43 0.3× 46 0.4× 110 1.7× 121 1.9× 24 415
Thierry Sentenac France 12 29 0.1× 101 0.6× 52 0.4× 64 1.0× 156 2.5× 39 376
Haibo Liu China 16 33 0.1× 404 2.6× 94 0.8× 69 1.1× 226 3.6× 51 669

Countries citing papers authored by Jaemook Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jaemook Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaemook Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jaemook Choi. A scholar is included among the top collaborators of Jaemook 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 Jaemook Choi. Jaemook 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.
Ma, Zhanxiong, et al.. (2025). Two-dimensional horizontal displacement estimation for building structures by fusing acceleration and sparse point clouds. Mechanical Systems and Signal Processing. 225. 112318–112318.
3.
Ma, Zhanxiong, et al.. (2024). Accelerometer-aided millimeter-wave radar interferometry for uninterrupted bridge displacement estimation considering intermittent radar target occlusion. Mechanical Systems and Signal Processing. 223. 111888–111888. 5 indexed citations
4.
Ma, Zhanxiong, Jaemook Choi, & Hoon Sohn. (2024). Multi-point structural displacement estimation and modal identification by combining a single-point camera and multi-point accelerometers. Measurement. 244. 116578–116578. 1 indexed citations
5.
Choi, Jaemook, Zhanxiong Ma, Kiyoung Kim, & Hoon Sohn. (2023). Continuous Structural Displacement Monitoring Using Accelerometer, Vision, and Infrared (IR) Cameras. Sensors. 23(11). 5241–5241. 6 indexed citations
6.
Ma, Zhanxiong, Jaemook Choi, & Hoon Sohn. (2023). Continuous bridge displacement estimation using millimeter-wave radar, strain gauge and accelerometer. Mechanical Systems and Signal Processing. 197. 110408–110408. 28 indexed citations
7.
Choi, Jaemook, et al.. (2023). Seismic-induced permanent displacement estimation combining acceleration and computer vision measurements. Mechanical Systems and Signal Processing. 200. 110504–110504. 7 indexed citations
8.
Liu, Peipei, et al.. (2023). Reference-free fatigue crack detection using deep long short-term memory network (DLSTM) and nonlinear ultrasonic modulation. NDT & E International. 137. 102828–102828. 10 indexed citations
9.
Sohn, Hoon, et al.. (2023). Baseline-free absolute strain estimation for cylindrical structures. Engineering Structures. 291. 116439–116439. 2 indexed citations
10.
Ma, Zhanxiong, et al.. (2023). Simultaneous Estimation of Submerged Floating Tunnel Displacement and Mooring Cable Tension through FIR Filter-Based Strain and Acceleration Fusion. Structural Control and Health Monitoring. 2023. 1–21. 11 indexed citations
11.
Ma, Zhanxiong, Peipei Liu, Jaemook Choi, & Hoon Sohn. (2023). High-sampled structural displacement estimation through the FIR filter-based two-stage fusion of high-sampled acceleration and temporally aliased low-sampled displacement measurements. Mechanical Systems and Signal Processing. 208. 111056–111056. 6 indexed citations
12.
Ma, Zhanxiong, Jaemook Choi, & Hoon Sohn. (2023). Three-dimensional structural displacement estimation by fusing monocular camera and accelerometer using adaptive multi-rate Kalman filter. Engineering Structures. 292. 116535–116535. 14 indexed citations
13.
Ma, Zhanxiong, Jaemook Choi, & Hoon Sohn. (2022). Noncontact cable tension force estimation using an integrated vision and inertial measurement system. Measurement. 199. 111532–111532. 40 indexed citations
14.
Ma, Zhanxiong, Jaemook Choi, Peipei Liu, & Hoon Sohn. (2022). Structural displacement estimation by fusing vision camera and accelerometer using hybrid computer vision algorithm and adaptive multi-rate Kalman filter. Automation in Construction. 140. 104338–104338. 62 indexed citations
15.
Ma, Zhanxiong, Jaemook Choi, Yang Liu, & Hoon Sohn. (2022). Structural displacement estimation using accelerometer and FMCW millimeter wave radar. Mechanical Systems and Signal Processing. 182. 109582–109582. 48 indexed citations
17.
Hwang, Insol, Minho Seong, Jaemook Choi, et al.. (2020). Multifunctional Smart Ball Sensor for Wireless Structural Health Monitoring in a Fire Situation. Sensors. 20(15). 4328–4328. 1 indexed citations
18.
20.
Choi, Jaemook, et al.. (2016). A reference-free micro defect visualization using pulse laser scanning thermography and image processing. Measurement Science and Technology. 27(8). 85601–85601. 19 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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