Sungho Jo

4.2k total citations · 2 hit papers
138 papers, 3.1k citations indexed

About

Sungho Jo is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sungho Jo has authored 138 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 36 papers in Biomedical Engineering and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sungho Jo's work include EEG and Brain-Computer Interfaces (53 papers), Gaze Tracking and Assistive Technology (24 papers) and Neuroscience and Neural Engineering (23 papers). Sungho Jo is often cited by papers focused on EEG and Brain-Computer Interfaces (53 papers), Gaze Tracking and Assistive Technology (24 papers) and Neuroscience and Neural Engineering (23 papers). Sungho Jo collaborates with scholars based in South Korea, United States and Singapore. Sungho Jo's co-authors include Byung Hyung Kim, Soohwan Song, Jaeseung Jeong, Yong‐Lae Park, Jin Woo Choi, Daekyum Kim, Min Kim, A. P. Balachandran, Seunghyun Han and Seung Hwan Ko and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Sungho Jo

131 papers receiving 3.0k citations

Hit Papers

A deep-learned skin sensor decoding the epicentral human ... 2020 2026 2022 2024 2020 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A deep-learned skin sensor decoding the epicentral human motions
    2020 243 citations Kyun Kyu Kim, Min Kim et al. profile →
  2. A substrate-less nanomesh receptor with meta-learning for rapid hand task recognition
    2022 131 citations Kyun Kyu Kim, Min Kim et al. Nature Electronics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungho Jo South Korea 29 1.3k 1.2k 500 450 328 138 3.1k
Pasquale Arpaïa Italy 27 682 0.5× 896 0.8× 223 0.4× 216 0.5× 168 0.5× 340 3.1k
Nathan F. Lepora United Kingdom 29 1.8k 1.4× 1.8k 1.5× 275 0.6× 218 0.5× 165 0.5× 137 3.1k
Michael A. Peshkin United States 44 2.1k 1.6× 2.5k 2.1× 964 1.9× 163 0.4× 381 1.2× 195 5.9k
Takao Satô Japan 24 682 0.5× 507 0.4× 68 0.1× 213 0.5× 176 0.5× 349 2.6k
Jinhua Zhang China 31 294 0.2× 768 0.7× 95 0.2× 209 0.5× 73 0.2× 212 3.2k
Jun Morimoto Japan 40 954 0.7× 2.9k 2.4× 182 0.4× 285 0.6× 563 1.7× 322 6.3k
Andreas G. Andreou United States 38 885 0.7× 1.4k 1.2× 73 0.1× 875 1.9× 392 1.2× 311 5.0k
Patrick van der Smagt Germany 27 2.5k 1.9× 2.3k 1.9× 531 1.1× 1.7k 3.7× 2.4k 7.4× 106 7.3k
C. Posch Austria 23 1.1k 0.9× 269 0.2× 79 0.2× 1.1k 2.5× 716 2.2× 75 4.3k
Javier Escudero United Kingdom 36 2.7k 2.0× 985 0.8× 162 0.3× 473 1.1× 184 0.6× 165 4.8k

Countries citing papers authored by Sungho Jo

Since Specialization
Citations

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

Fields of papers citing papers by Sungho Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungho Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Sungho Jo. A scholar is included among the top collaborators of Sungho Jo 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 Sungho Jo. Sungho Jo 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.
Kim, Min, et al.. (2024). Multiple Hand Posture Rehabilitation System Using Vision-Based Intention Detection and Soft-Robotic Glove. IEEE Transactions on Industrial Informatics. 20(4). 6499–6509. 16 indexed citations
2.
Kim, Woongbae, et al.. (2024). Impact of Physical Parameters and Vision Data on Deep Learning-Based Grip Force Estimation for Fluidic Origami Soft Grippers. IEEE Robotics and Automation Letters. 9(3). 2487–2494. 1 indexed citations
3.
Song, Soohwan, et al.. (2024). TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching. IEEE Transactions on Image Processing. 33. 6016–6028. 2 indexed citations
4.
Kim, Byung Hyung, et al.. (2023). A discriminative SPD feature learning approach on Riemannian manifolds for EEG classification. Pattern Recognition. 143. 109751–109751. 14 indexed citations
5.
Choi, Jin Woo, et al.. (2023). Asynchronous Motor Imagery BCI and LiDAR-Based Shared Control System for Intuitive Wheelchair Navigation. IEEE Sensors Journal. 23(14). 16252–16263. 11 indexed citations
6.
Kim, Min, et al.. (2023). HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping. IEEE Robotics and Automation Letters. 8(12). 8390–8397.
7.
Choi, Jae-Hoon, et al.. (2023). Decoding auditory-evoked response in affective states using wearable around-ear EEG system. Biomedical Physics & Engineering Express. 9(5). 55029–55029. 3 indexed citations
8.
Choi, Jin Woo, et al.. (2023). Selective Multi-Source Domain Adaptation Network for Cross-Subject Motor Imagery Discrimination. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 923–934. 6 indexed citations
9.
Kim, Daekyum, et al.. (2022). Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction. Pattern Recognition. 129. 108764–108764. 23 indexed citations
10.
Lee, Jaejun, et al.. (2022). Semantic Grasping Via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach. IEEE Robotics and Automation Letters. 7(4). 9397–9404. 12 indexed citations
11.
Kim, Minjoon, et al.. (2022). Separation-free bacterial identification in arbitrary media via deep neural network-based SERS analysis. Biosensors and Bioelectronics. 202. 113991–113991. 54 indexed citations
12.
Kim, Kyun Kyu, Min Kim, Jin Kim, et al.. (2022). A substrate-less nanomesh receptor with meta-learning for rapid hand task recognition. Nature Electronics. 131 indexed citations breakdown →
13.
Kim, Byung Hyung, Sungho Jo, & Sunghee Choi. (2021). ALIS: Learning Affective Causality Behind Daily Activities From a Wearable Life-Log System. IEEE Transactions on Cybernetics. 52(12). 13212–13224. 11 indexed citations
14.
Kim, Daekyum, Sang-Hun Kim, Taekyoung Kim, et al.. (2021). Review of machine learning methods in soft robotics. PLoS ONE. 16(2). e0246102–e0246102. 175 indexed citations
15.
Kang, Brian Byunghyun, Daekyum Kim, Hyungmin Choi, et al.. (2020). Learning-Based Fingertip Force Estimation for Soft Wearable Hand Robot With Tendon-Sheath Mechanism. IEEE Robotics and Automation Letters. 5(2). 946–953. 21 indexed citations
16.
Choi, Jae-Hoon, et al.. (2020). Speech-imagery-based brain–computer interface system using ear-EEG. Journal of Neural Engineering. 18(1). 16023–16023. 30 indexed citations
17.
Choi, Jin Woo, et al.. (2020). Observing Actions Through Immersive Virtual Reality Enhances Motor Imagery Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(7). 1614–1622. 71 indexed citations
18.
Kim, Daekyum, et al.. (2019). Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view. Science Robotics. 4(26). 74 indexed citations
19.
Han, Seunghyun, et al.. (2018). Use of Deep Learning for Characterization of Microfluidic Soft Sensors. IEEE Robotics and Automation Letters. 3(2). 873–880. 119 indexed citations
20.
Jo, Sungho, et al.. (2017). Two-Factor Authentication System Using P300 Response to a Sequence of Human Photographs. IEEE Transactions on Systems Man and Cybernetics Systems. 50(3). 1178–1185. 22 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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