Ahnryul Choi

1.1k total citations
51 papers, 782 citations indexed

About

Ahnryul Choi is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Orthopedics and Sports Medicine. According to data from OpenAlex, Ahnryul Choi has authored 51 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 13 papers in Physical Therapy, Sports Therapy and Rehabilitation and 13 papers in Orthopedics and Sports Medicine. Recurrent topics in Ahnryul Choi's work include Balance, Gait, and Falls Prevention (12 papers), Sports Performance and Training (11 papers) and Sports Dynamics and Biomechanics (9 papers). Ahnryul Choi is often cited by papers focused on Balance, Gait, and Falls Prevention (12 papers), Sports Performance and Training (11 papers) and Sports Dynamics and Biomechanics (9 papers). Ahnryul Choi collaborates with scholars based in South Korea and United States. Ahnryul Choi's co-authors include Joung Hwan Mun, Seung Eel Oh, Hyunggun Kim, Taeyong Sim, Tae Hyong Kim, David D. McPherson, Hyunwoo Jung, Frederick Mun, Kyung-Ran Kim and Euichaul Oh and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Journal of Biomechanics.

In The Last Decade

Ahnryul Choi

47 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahnryul Choi South Korea 16 490 199 192 156 117 51 782
Yi‐Ju Tsai Taiwan 16 244 0.5× 152 0.8× 169 0.9× 82 0.5× 59 0.5× 52 685
Steffi Colyer United Kingdom 14 494 1.0× 140 0.7× 482 2.5× 112 0.7× 163 1.4× 50 1.0k
Pietro Picerno Italy 15 626 1.3× 411 2.1× 364 1.9× 186 1.2× 89 0.8× 45 1.3k
Reginaldo Fukuchi Brazil 9 621 1.3× 286 1.4× 347 1.8× 201 1.3× 32 0.3× 19 1.0k
Dylan Kobsar Canada 18 611 1.2× 334 1.7× 291 1.5× 225 1.4× 58 0.5× 47 1.1k
Karol O’Donovan Ireland 11 471 1.0× 326 1.6× 67 0.3× 75 0.5× 216 1.8× 18 761
Joung Hwan Mun South Korea 19 628 1.3× 244 1.2× 241 1.3× 191 1.2× 147 1.3× 71 1.1k
Eni Halilaj United States 17 349 0.7× 103 0.5× 202 1.1× 440 2.8× 73 0.6× 32 1.0k
Christian A. Clermont Canada 17 614 1.3× 226 1.1× 361 1.9× 61 0.4× 56 0.5× 37 1.0k
Giorgio Gatta Italy 19 378 0.8× 125 0.6× 708 3.7× 81 0.5× 53 0.5× 68 1.0k

Countries citing papers authored by Ahnryul Choi

Since Specialization
Citations

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

Fields of papers citing papers by Ahnryul Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahnryul Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Ahnryul Choi. A scholar is included among the top collaborators of Ahnryul 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 Ahnryul Choi. Ahnryul 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, Ahnryul, et al.. (2024). Improved Transfer Learning for Detecting Upper-Limb Movement Intention Using Mechanical Sensors in an Exoskeletal Rehabilitation System. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3953–3965. 3 indexed citations
2.
Choi, Ahnryul, et al.. (2024). Deep Learning Model to Evaluate Sensorimotor System Ability in Patients With Dizziness for Postural Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1292–1301. 1 indexed citations
3.
Kim, Sung Jin, et al.. (2024). Microbiome and Prostate Cancer: Emerging Diagnostic and Therapeutic Opportunities. Pharmaceuticals. 17(1). 112–112. 11 indexed citations
4.
5.
Lee, Dongjun, Ahnryul Choi, & Joung Hwan Mun. (2024). Deep Learning-Based Fine-Tuning Approach of Coarse Registration for Ear–Nose–Throat (ENT) Surgical Navigation Systems. Bioengineering. 11(9). 941–941.
6.
Choi, Ahnryul, et al.. (2024). Deep-Learning-Based Recovery of Missing Optical Marker Trajectories in 3D Motion Capture Systems. Bioengineering. 11(6). 560–560. 3 indexed citations
7.
Choi, Ahnryul, Euyhyun Park, Tae Hyong Kim, Gi Jung Im, & Joung Hwan Mun. (2022). A Novel Optimization-Based Convolution Neural Network to Estimate the Contribution of Sensory Inputs to Postural Stability During Quiet Standing. IEEE Journal of Biomedical and Health Informatics. 26(9). 4414–4425. 5 indexed citations
8.
Choi, Ahnryul, et al.. (2022). Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2385–2394. 59 indexed citations
9.
Mun, Frederick & Ahnryul Choi. (2022). Deep learning approach to estimate foot pressure distribution in walking with application for a cost-effective insole system. Journal of NeuroEngineering and Rehabilitation. 19(1). 4–4. 23 indexed citations
10.
Choi, Ahnryul, et al.. (2019). Machine learning approach to predict center of pressure trajectories in a complete gait cycle: a feedforward neural network vs. LSTM network. Medical & Biological Engineering & Computing. 57(12). 2693–2703. 25 indexed citations
11.
Choi, Ahnryul, David D. McPherson, & Hyunggun Kim. (2017). Neochordoplasty versus leaflet resection for ruptured mitral chordae treatment: Virtual mitral valve repair. Computers in Biology and Medicine. 90. 50–58. 13 indexed citations
12.
Choi, Ahnryul, et al.. (2017). Endurance Capacity of the Biceps Brachii Muscle Using the High-to-Lo w Ratio between Two Signal Spectral Moments of Surface EMG Signals during Isotonic Contractions. Journal of Electrical Engineering and Technology. 12(4). 1641–1648. 1 indexed citations
13.
Choi, Ahnryul, et al.. (2016). Inter-joint coordination between hips and trunk during downswings: Effects on the clubhead speed. Journal of Sports Sciences. 34(20). 1991–1997. 11 indexed citations
14.
Mun, Frederick, et al.. (2015). Kinematic relationship between rotation of lumbar spine and hip joints during golf swing in professional golfers. BioMedical Engineering OnLine. 14(1). 41–41. 16 indexed citations
15.
Choi, Ahnryul, et al.. (2015). Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection. PLoS ONE. 10(6). e0130906–e0130906. 25 indexed citations
16.
17.
Choi, Ahnryul, Taeyong Sim, & Joung Hwan Mun. (2015). Quasi-stiffness of the knee joint in flexion and extension during the golf swing. Journal of Sports Sciences. 33(16). 1682–1691. 24 indexed citations
18.
Choi, Ahnryul, Taeyong Sim, & Joung Hwan Mun. (2015). Improved determination of dynamic balance using the centre of mass and centre of pressure inclination variables in a complete golf swing cycle. Journal of Sports Sciences. 34(10). 906–914. 18 indexed citations
19.
Choi, Ahnryul, et al.. (2014). Kinematic evaluation of movement smoothness in golf: relationship between the normalized jerk cost of body joints and the clubhead. BioMedical Engineering OnLine. 13(1). 20–20. 45 indexed citations
20.
Choi, Ahnryul, et al.. (2013). Upper torso and pelvis linear velocity during the downswing of elite golfers. BioMedical Engineering OnLine. 12(1). 13–13. 21 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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