Sanghyub Lee

1.1k total citations
28 papers, 786 citations indexed

About

Sanghyub Lee is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Sanghyub Lee has authored 28 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Materials Chemistry. Recurrent topics in Sanghyub Lee's work include Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (6 papers) and Graphene research and applications (5 papers). Sanghyub Lee is often cited by papers focused on Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (6 papers) and Graphene research and applications (5 papers). Sanghyub Lee collaborates with scholars based in South Korea, United States and United Kingdom. Sanghyub Lee's co-authors include Young Hee Lee, Mun Sang Kim, Deok-Won Lee, Manh‐Ha Doan, Subash Adhikari, Youngjo Jin, Seong Chu Lim, Jiong Zhao, Sidi Fan and Kyoobin Lee and has published in prestigious journals such as ACS Nano, Acta Materialia and Scientific Reports.

In The Last Decade

Sanghyub Lee

27 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanghyub Lee South Korea 13 372 257 250 132 107 28 786
Fábio Kurt Schneider Brazil 17 276 0.7× 447 1.7× 291 1.2× 34 0.3× 33 0.3× 73 1.0k
Akihiko Murai Japan 12 92 0.2× 86 0.3× 276 1.1× 26 0.2× 28 0.3× 86 581
Ye Chen China 21 70 0.2× 765 3.0× 340 1.4× 299 2.3× 79 0.7× 74 1.2k
Michito Matsumoto Japan 11 84 0.2× 247 1.0× 110 0.4× 63 0.5× 197 1.8× 57 544
Asir Intisar Khan United States 20 714 1.9× 617 2.4× 150 0.6× 79 0.6× 76 0.7× 53 1.1k
A. Vera Mexico 15 102 0.3× 141 0.5× 679 2.7× 48 0.4× 44 0.4× 191 1.0k
Andreas Brückner Germany 15 40 0.1× 245 1.0× 439 1.8× 69 0.5× 24 0.2× 41 758
Srihari Rajgopal United States 11 57 0.2× 307 1.2× 170 0.7× 83 0.6× 18 0.2× 29 414
Shih-Yao Lin Taiwan 16 72 0.2× 158 0.6× 195 0.8× 107 0.8× 56 0.5× 39 638
Luca Bergamini Italy 10 51 0.1× 110 0.4× 162 0.6× 71 0.5× 135 1.3× 24 363

Countries citing papers authored by Sanghyub Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sanghyub Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghyub Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sanghyub Lee. A scholar is included among the top collaborators of Sanghyub Lee 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 Sanghyub Lee. Sanghyub Lee 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.
Lee, Ki‐Suk, Sumin Kim, Sanghyub Lee, et al.. (2024). A novel two-step grain boundary diffusion process using TaF5 and Pr70Cu15Al10Ga5 for realizing high-coercivity in Nd-Fe-B-sintered magnets without use of heavy rare-earth. Acta Materialia. 285. 120660–120660. 11 indexed citations
2.
Lee, Sanghyub, et al.. (2024). AI-driven universal lower-limb exoskeleton system for community ambulation. Science Advances. 10(51). eadq0288–eadq0288. 5 indexed citations
3.
Lee, Sanghyub, et al.. (2024). Beyond the Screen With DanceSculpt: A 3D Dancer Reconstruction and Tracking System for Learning Dance. International Journal of Human-Computer Interaction. 41(9). 5406–5419.
4.
Heo, Chaejeong, et al.. (2023). Probing Interfacial Charge Transfer between Amyloid-β and Graphene during Amyloid Fibrillization Using Raman Spectroscopy. ACS Nano. 17(5). 4834–4842. 9 indexed citations
5.
6.
Lee, Sanghyub, Deok-Won Lee, & Mun Sang Kim. (2023). A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition. Sensors. 23(4). 2278–2278. 8 indexed citations
7.
Lee, Sanghyub, et al.. (2023). Hybrid Deep Neural Network Framework Combining Skeleton and Gait Features for Pathological Gait Recognition. Bioengineering. 10(10). 1133–1133. 3 indexed citations
8.
Kim, Tae‐Hoon, et al.. (2022). High-performance Ce-substituted (Nd0.7Ce0.3)-Fe-B hot-deformed magnets fabricated from amorphous melt-spun powders. Scripta Materialia. 214. 114676–114676. 12 indexed citations
10.
Lee, Deok-Won, et al.. (2022). Deep-Learning-Based ADHD Classification Using Children’s Skeleton Data Acquired through the ADHD Screening Game. Sensors. 23(1). 246–246. 10 indexed citations
11.
Lee, Sanghyub, et al.. (2021). Deep Learning-Based Multimodal Abnormal Gait Classification Using a 3D Skeleton and Plantar Foot Pressure. IEEE Access. 9. 161576–161589. 22 indexed citations
12.
Kim, Tae Soo, Sidi Fan, Sanghyub Lee, Min‐Kyu Joo, & Young Hee Lee. (2020). High-mobility junction field-effect transistor via graphene/MoS2 heterointerface. Scientific Reports. 10(1). 13101–13101. 59 indexed citations
13.
Lee, Deok-Won, et al.. (2020). Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition. IEEE Access. 8. 19196–19207. 98 indexed citations
14.
Fan, Sidi, Quoc An Vu, Sanghyub Lee, et al.. (2019). Tunable Negative Differential Resistance in van der Waals Heterostructures at Room Temperature by Tailoring the Interface. ACS Nano. 13(7). 8193–8201. 88 indexed citations
15.
Kim, Un Jeong, Jun Suk Kim, Noejung Park, et al.. (2018). Anomalous K-Point Phonons in Noble Metal/Graphene Heterostructure Activated by Localized Surface Plasmon Resonance. ACS Nano. 12(12). 12733–12740. 10 indexed citations
16.
Doan, Manh‐Ha, Youngjo Jin, Subash Adhikari, et al.. (2017). Charge Transport in MoS2/WSe2 van der Waals Heterostructure with Tunable Inversion Layer. ACS Nano. 11(4). 3832–3840. 191 indexed citations
17.
Lee, Sanghyub, et al.. (2016). Mannequin Evaluation Of 3D-Printed Intermittent Oro-Esophageal Tube Guide For Dysphagia. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
18.
Baek, Seung‐Wook, Sanghyub Lee, & Joongmyeon Bae. (2009). Electrochemical Property of Cr-containing Cathode Materials for Metal-supported Solid Oxide Fuel Cell. ECS Meeting Abstracts. MA2009-02(12). 1498–1498. 1 indexed citations
19.
Jeong, Jihoon, et al.. (2009). Electrochemical Property of Cr-containing Cathode Materials for Metal-supported Solid Oxide Fuel Cell. ECS Transactions. 25(2). 2909–2914. 4 indexed citations
20.
Lee, Sanghyub. (1998). Effect of Speed of Movement on Maximum Ground Reaction Force During the Sit-to-Stand Transfer. 5(4). 20–29. 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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