Song Joo Lee

1.1k total citations
44 papers, 856 citations indexed

About

Song Joo Lee is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Song Joo Lee has authored 44 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 17 papers in Cognitive Neuroscience and 14 papers in Surgery. Recurrent topics in Song Joo Lee's work include Muscle activation and electromyography studies (18 papers), EEG and Brain-Computer Interfaces (15 papers) and Neuroscience and Neural Engineering (13 papers). Song Joo Lee is often cited by papers focused on Muscle activation and electromyography studies (18 papers), EEG and Brain-Computer Interfaces (15 papers) and Neuroscience and Neural Engineering (13 papers). Song Joo Lee collaborates with scholars based in South Korea, United States and Japan. Song Joo Lee's co-authors include Joseph Hidler, Li‐Qun Zhang, Yupeng Ren, Keun-Tae Kim, Sang Hoon Kang, Hyungmin Kim, Alison H. Chang, Laehyun Kim, Dali Xu and Jie Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Song Joo Lee

40 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Joo Lee South Korea 11 494 235 206 171 149 44 856
Noël Keijsers Netherlands 21 493 1.0× 297 1.3× 167 0.8× 257 1.5× 259 1.7× 88 1.4k
N. Martinet France 17 626 1.3× 83 0.4× 176 0.9× 207 1.2× 77 0.5× 65 976
Alberto Ferrari Italy 16 640 1.3× 592 2.5× 90 0.4× 267 1.6× 303 2.0× 47 1.4k
Benjamin L. Patritti United States 13 489 1.0× 275 1.2× 174 0.8× 66 0.4× 247 1.7× 32 1.1k
Thorsten Stein Germany 18 499 1.0× 249 1.1× 212 1.0× 146 0.9× 97 0.7× 96 1.1k
Bradley S. Davidson United States 21 519 1.1× 300 1.3× 90 0.4× 346 2.0× 117 0.8× 66 1.4k
Andrzej Wit Poland 13 592 1.2× 257 1.1× 53 0.3× 135 0.8× 155 1.0× 46 906
Anderson Souza Oliveira Denmark 24 834 1.7× 367 1.6× 548 2.7× 85 0.5× 168 1.1× 100 1.6k
Brian A. Knarr United States 19 486 1.0× 382 1.6× 90 0.4× 150 0.9× 363 2.4× 65 981
Marco Bravi Italy 19 442 0.9× 46 0.2× 180 0.9× 194 1.1× 81 0.5× 74 1.1k

Countries citing papers authored by Song Joo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Song Joo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Joo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Song Joo Lee. A scholar is included among the top collaborators of Song Joo 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 Song Joo Lee. Song Joo 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, J. H., et al.. (2026). Few-shot channel selection with wavelet scattering and squeeze-and-excitation for EEG motor imagery classification. Biomedical Signal Processing and Control. 120. 110046–110046.
2.
Lee, Song Joo, et al.. (2025). Developing a Multi-Directional Lower-Limb Training System Toward Aging in Place Rehabilitation: A Preliminary Feasibility Study on Healthy Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 975–983.
4.
Choi, Minseok, Hyun‐Chul Kim, Inchan Youn, Song Joo Lee, & Jong‐Hwan Lee. (2024). Use of functional magnetic resonance imaging to identify cortical loci for lower limb movements and their efficacy for individuals after stroke. Journal of NeuroEngineering and Rehabilitation. 21(1). 2 indexed citations
7.
Xu, Dali, et al.. (2023). Multi-joint Assessment of Proprioception Impairments Poststroke. Archives of Physical Medicine and Rehabilitation. 105(3). 480–486. 5 indexed citations
8.
Park, Sangsoo, et al.. (2022). Improvements in hand functions and changes in proximal muscle activities in myoelectric prosthetic hand users at home: a case series. Prosthetics and Orthotics International. 46(6). 582–590. 1 indexed citations
11.
Lee, Deukhee, et al.. (2021). Quantification of the Elastic Moduli of Lumbar Erector Spinae and Multifidus Muscles Using Shear-Wave Ultrasound Elastography. Applied Sciences. 11(4). 1782–1782. 2 indexed citations
12.
Lee, Song Joo, Yong Eun Cho, Kyung Hyun Kim, & Deukhee Lee. (2021). Developing a Quantifying Device for Soft Tissue Material Properties around Lumbar Spines. Biosensors. 11(3). 67–67. 2 indexed citations
13.
Kim, Keun-Tae, et al.. (2021). Upper-Limb Electromyogram Classification of Reaching-to-Grasping Tasks Based on Convolutional Neural Networks for Control of a Prosthetic Hand. Frontiers in Neuroscience. 15. 733359–733359. 16 indexed citations
14.
Lee, Song Joo, et al.. (2020). Stability of a robust interaction control for single-degree-of-freedom robots with unstructured environments. Intelligent Service Robotics. 13(3). 393–401. 2 indexed citations
15.
Tsai, Liang‐Ching, Song Joo Lee, Aaron Yang, et al.. (2015). Effects of Off-Axis Elliptical Training on Reducing Pain and Improving Knee Function in Individuals With Patellofemoral Pain. Clinical Journal of Sport Medicine. 25(6). 487–493. 8 indexed citations
16.
Lee, Song Joo, et al.. (2014). Effects of Pivoting Neuromuscular Training on Pivoting Control and Proprioception. Medicine & Science in Sports & Exercise. 46(7). 1400–1409. 20 indexed citations
17.
Lee, Song Joo, et al.. (2013). Gender differences in offaxis neuromuscular control during stepping under a slippery condition. European Journal of Applied Physiology. 113(11). 2857–2866. 11 indexed citations
18.
Kang, Sang Hoon, Song Joo Lee, Yupeng Ren, & Li‐Qun Zhang. (2013). Estimating knee adduction moment in real-time on an elliptical trainer. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1 indexed citations
19.
Kang, Sang Hoon, Song Joo Lee, & Li‐Qun Zhang. (2013). Real-time tracking of knee adduction moment in patients with knee osteoarthritis. Journal of Neuroscience Methods. 231. 9–17. 9 indexed citations
20.

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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