Yohan Noh

2.5k total citations
89 papers, 1.9k citations indexed

About

Yohan Noh is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Yohan Noh has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Biomedical Engineering, 24 papers in Control and Systems Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Yohan Noh's work include Soft Robotics and Applications (47 papers), Robot Manipulation and Learning (21 papers) and Advanced Sensor and Energy Harvesting Materials (12 papers). Yohan Noh is often cited by papers focused on Soft Robotics and Applications (47 papers), Robot Manipulation and Learning (21 papers) and Advanced Sensor and Energy Harvesting Materials (12 papers). Yohan Noh collaborates with scholars based in United Kingdom, Japan and United States. Yohan Noh's co-authors include Kaspar Althoefer, Helge Würdemann, Sina Sareh, Hongbin Liu, Thrishantha Nanayakkara, Angela Faragasso, Agostino Stilli, Damith Suresh Chathuranga, Jan Fraś and Kawal Rhode and has published in prestigious journals such as Nature Communications, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Yohan Noh

85 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yohan Noh United Kingdom	25	1.3k	468	422	286	232	89	1.9k
Thanh Nho Australia	32	2.0k 1.5×	797 1.7×	706 1.7×	228 0.8×	281 1.2×	103	2.9k
Stefan Seelecke Germany	37	2.2k 1.6×	561 1.2×	791 1.9×	196 0.7×	64 0.3×	267	4.5k
Toshiharu Mukai Japan	23	1.2k 0.9×	314 0.7×	391 0.9×	322 1.1×	43 0.2×	140	2.0k
Zhidong Wang Japan	20	807 0.6×	293 0.6×	264 0.6×	250 0.9×	207 0.9×	109	1.4k
Veronica J. Santos United States	17	1.1k 0.8×	375 0.8×	187 0.4×	135 0.5×	40 0.2×	39	1.7k
Tommaso Ranzani United States	24	2.3k 1.8×	697 1.5×	936 2.2×	109 0.4×	685 3.0×	57	2.6k
Javad Dargahi Canada	31	2.7k 2.0×	360 0.8×	500 1.2×	573 2.0×	67 0.3×	183	3.5k
Uikyum Kim South Korea	22	1.5k 1.1×	580 1.2×	501 1.2×	234 0.8×	55 0.2×	63	1.9k
Lin Cao China	24	687 0.5×	269 0.6×	254 0.6×	324 1.1×	102 0.4×	69	1.6k
Alan T. Asbeck United States	24	2.7k 2.1×	424 0.9×	480 1.1×	39 0.1×	90 0.4×	43	3.2k

Countries citing papers authored by Yohan Noh

Since Specialization

Citations

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

Fields of papers citing papers by Yohan Noh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohan Noh

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

All Works

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20 of 20 papers shown

Noh, Yohan, et al.. (2025). Fabrication of insulation spacers for ultra‐high voltage gas‐insulated switchgear using eco‐friendly bio‐based epoxy composite material characterisation evaluation. High Voltage. 10(2). 451–457.

Kim, Jong Geun, et al.. (2025). Effects of a wellness spa intervention on muscle tension and electroencephalographic activity in community-dwelling adults. Physical therapy rehabilitation science. 14(2). 275–281.

Lee, Hochan, Yohan Noh, H. X. Yang, & Seungjun Kim. (2025). Artificial Intelligence-Based Surrogate Model for the Analysis and Prediction of Blast-Induced Behavior of RC Wall Structures in Small Modular Reactors. Korean Society of Hazard Mitigation. 25(1). 99–110.

Minton, Timothy, et al.. (2024). Shape Sensing for Continuum Robotics Using Optoelectronic Sensors with Convex Reflectors. Electronics. 13(7). 1253–1253. 2 indexed citations

He, Bo, Min Li, Wei Yao, et al.. (2022). Optoelectronic-Based Pose Sensing for a Hand Rehabilitation Exoskeleton Continuous Structure. IEEE Sensors Journal. 22(6). 5606–5615. 8 indexed citations

Housden, R. James, Shuangyi Wang, Xianqiang Bao, et al.. (2021). Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging. IEEE Robotics and Automation Letters. 6(2). 1059–1065. 24 indexed citations

Wang, Shu, Yohan Noh, Jemma Brown, et al.. (2020). Development and Testing of an Ultrasound-Compatible Cardiac Phantom for Interventional Procedure Simulation Using Direct Three-Dimensional Printing. 3D Printing and Additive Manufacturing. 7(6). 269–278. 8 indexed citations

Shiva, Ali, S. M. Hadi Sadati, Yohan Noh, et al.. (2019). Elasticity Versus Hyperelasticity Considerations in Quasistatic Modeling of a Soft Finger-Like Robotic Appendage for Real-Time Position and Force Estimation. Soft Robotics. 6(2). 228–249. 35 indexed citations

Wang, Shuangyi, R. James Housden, Yohan Noh, et al.. (2019). Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound. Journal of Visualized Experiments. 10 indexed citations

10.

Han, Sangjin, et al.. (2019). Optoelectronic Sensor-based Shape Sensing Approach for Flexible Manipulators. PubMed. 2. 3199–3203. 8 indexed citations

11.

Fraś, Jan, et al.. (2018). Fluidical bending actuator designed for soft octopus robot tentacle. Research Portal (King's College London). 253–257. 24 indexed citations

12.

Lee, Kyung‐Koo, Kwanghee Park, Hochan Lee, et al.. (2017). Ultrafast fluxional exchange dynamics in electrolyte solvation sheath of lithium ion battery. Nature Communications. 8(1). 14658–14658. 98 indexed citations

13.

Würdemann, Helge, Sina Sareh, Ali Shafti, et al.. (2015). Embedded electro-conductive yarn for shape sensing of soft robotic manipulators. PubMed. 2015. 8026–8029. 35 indexed citations

14.

Sareh, Sina, Yohan Noh, Tommaso Ranzani, et al.. (2015). A 7.5mm Steiner chain fibre-optic system for multi-segment flex sensing. Research Portal (King's College London). 2336–2341. 10 indexed citations

15.

Noh, Yohan, Sina Sareh, Helge Würdemann, et al.. (2014). A three-axial body force sensor for flexible manipulators. 6388–6393. 45 indexed citations

16.

Sareh, Sina, Allen Jiang, Angela Faragasso, et al.. (2014). Bio-inspired tactile sensor sleeve for surgical soft manipulators. Royal College of Art Research Repository (Royal College of Art). 1454–1459. 62 indexed citations

17.

Wang, Chunbao, et al.. (2012). Development of a face robot for cranial nerves examination training. 14–19. 4 indexed citations

18.

Noh, Yohan, et al.. (2011). Development of the Airway Management Training System WKA-4 : for Improving Reproduction of High Fidelity of Real Patient and Improving Tongue Mechanism and Mandible Mechanism. International Conference on Robotics and Automation. 1726–1731. 1 indexed citations

19.

Solı́s, Jorge, et al.. (2009). Development of the Airway Management Training System WKA-2 that can reproduce the Cases of Difficult Airway. International Conference on Robotics and Automation. 1 indexed citations

20.

Noh, Yohan, et al.. (2006). Development of an Airway Management Training System. 3 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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