Sang-Hoon Yeo

418 total citations
17 papers, 278 citations indexed

About

Sang-Hoon Yeo is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Sang-Hoon Yeo has authored 17 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 5 papers in Control and Systems Engineering and 5 papers in Cognitive Neuroscience. Recurrent topics in Sang-Hoon Yeo's work include Muscle activation and electromyography studies (6 papers), Motor Control and Adaptation (5 papers) and Robot Manipulation and Learning (4 papers). Sang-Hoon Yeo is often cited by papers focused on Muscle activation and electromyography studies (6 papers), Motor Control and Adaptation (5 papers) and Robot Manipulation and Learning (4 papers). Sang-Hoon Yeo collaborates with scholars based in United Kingdom, Canada and United States. Sang-Hoon Yeo's co-authors include Duc Truong Pham, Jolande Fooken, Miriam Spering, Dinesh K. Pai, Jasper Verheul, Mohamed Maâroufi, Peter Holland, R. Chris Miall, Massimiliano Di Luca and Shinjiro Sueda and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Journal of Biomechanics.

In The Last Decade

Sang-Hoon Yeo

16 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang-Hoon Yeo United Kingdom	8	99	77	66	55	45	17	278
José Victorio Salazar Luces Japan	9	89 0.9×	63 0.8×	42 0.6×	67 1.2×	52 1.2×	45	229
Ali Shafti United Kingdom	13	86 0.9×	208 2.7×	70 1.1×	69 1.3×	36 0.8×	25	369
Celal Savur United States	8	55 0.6×	109 1.4×	91 1.4×	121 2.2×	23 0.5×	15	333
Joel C. Huegel Mexico	12	128 1.3×	162 2.1×	32 0.5×	51 0.9×	94 2.1×	38	417
Keiichi WATANUKI Japan	8	30 0.3×	69 0.9×	31 0.5×	44 0.8×	41 0.9×	83	239
Damien Petit Japan	9	107 1.1×	71 0.9×	156 2.4×	112 2.0×	48 1.1×	26	328
Valters Abolins Latvia	8	61 0.6×	80 1.0×	36 0.5×	52 0.9×	10 0.2×	24	275
Rachel Holladay United States	10	70 0.7×	86 1.1×	196 3.0×	56 1.0×	78 1.7×	13	322
Ruta Desai United States	11	64 0.6×	141 1.8×	69 1.0×	83 1.5×	45 1.0×	17	317
Brian T. Gleeson United States	8	271 2.7×	73 0.9×	97 1.5×	194 3.5×	99 2.2×	18	433

Countries citing papers authored by Sang-Hoon Yeo

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Hoon Yeo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Hoon Yeo. 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 Sang-Hoon Yeo. The network helps show where Sang-Hoon Yeo may publish in the future.

Co-authorship network of co-authors of Sang-Hoon Yeo

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

All Works

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17 of 17 papers shown

Yeo, Sang-Hoon, Jasper Verheul, Walter Herzog, & Shinjiro Sueda. (2023). Numerical instability of Hill-type muscle models. Journal of The Royal Society Interface. 20(199). 20220430–20220430. 20 indexed citations

Luca, Massimiliano Di, Mohamed Maâroufi, Sang-Hoon Yeo, et al.. (2023). A methodological framework to assess the accuracy of virtual reality hand-tracking systems: A case study with the Meta Quest 2. Behavior Research Methods. 56(2). 1052–1063. 52 indexed citations

Yeo, Sang-Hoon, et al.. (2023). Implicit Motor Sequence Learning in Adults with and Without Developmental Coordination Disorder (DCD). Advances in Neurodevelopmental Disorders. 8(2). 242–252. 4 indexed citations

Verheul, Jasper, Shinjiro Sueda, & Sang-Hoon Yeo. (2023). Muscle inertial contributions to ankle kinetics during the swing phase of running. Journal of Biomechanics. 147. 111455–111455.

Tóth, Eszter, et al.. (2022). Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data. Behavior Research Methods. 55(3). 1372–1391. 21 indexed citations

Wang, Ying, Jasper Verheul, Sang-Hoon Yeo, Nima Khademi Kalantari, & Shinjiro Sueda. (2022). Differentiable Simulation of Inertial Musculotendons. ACM Transactions on Graphics. 41(6). 1–11. 9 indexed citations

Verheul, Jasper & Sang-Hoon Yeo. (2022). A Hybrid Method for Ultrasound-Based Tracking of Skeletal Muscle Architecture. IEEE Transactions on Biomedical Engineering. 70(4). 1114–1124. 5 indexed citations

Kim, Seungyeon, et al.. (2021). On the encoding capacity of human motor adaptation. Journal of Neurophysiology. 126(1). 123–139. 1 indexed citations

Fooken, Jolande, Sang-Hoon Yeo, Dinesh K. Pai, & Miriam Spering. (2016). Eye movement accuracy determines natural interception strategies. Journal of Vision. 16(14). 1–1. 71 indexed citations

10.

Yeo, Sang-Hoon, Daniel M. Wolpert, & David W. Franklin. (2015). Coordinate Representations for Interference Reduction in Motor Learning. PLoS ONE. 10(6). e0129388–e0129388. 7 indexed citations

11.

Yeo, Sang-Hoon, Matthew C. Tresch, & Dinesh K. Pai. (2008). Optimal design of musculoskeletal models using force field data. PubMed. 2008. 3710–3714. 2 indexed citations

12.

Yeo, Sang-Hoon, et al.. (2004). A modular object-oriented framework for hierarchical multi-resolution robot simulation. Robotica. 22(2). 141–154. 2 indexed citations

13.

Pham, Duc Truong & Sang-Hoon Yeo. (1991). Strategies for gripper design and selection in robotic assembly. International Journal of Production Research. 29(2). 303–316. 49 indexed citations

14.

Yeo, Sang-Hoon, et al.. (1990). Dynamics of an Object Discharging off a Belt Conveyor. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 204(4). 223–230. 3 indexed citations

15.

Pham, Duc Truong & Sang-Hoon Yeo. (1988). A knowledge-based system for robot gripper selection: criteria for choosing grippers and surfaces for gripping. International Journal of Machine Tools and Manufacture. 28(4). 301–313. 26 indexed citations

16.

Pham, Duc Truong & Sang-Hoon Yeo. (1988). A knowledge-based system for robot gripper selection: Implementation details. International Journal of Machine Tools and Manufacture. 28(4). 315–324. 2 indexed citations

17.

Pham, Duc Truong & Sang-Hoon Yeo. (1985). Quasi-parallel grippers for the concentric handling of cylindrical workpieces. The International Journal of Advanced Manufacturing Technology. 1(1). 95–120. 4 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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