Jaeheung Park

3.1k total citations
160 papers, 2.0k citations indexed

About

Jaeheung Park is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaeheung Park has authored 160 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Biomedical Engineering, 92 papers in Control and Systems Engineering and 43 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaeheung Park's work include Robot Manipulation and Learning (62 papers), Robotic Locomotion and Control (57 papers) and Prosthetics and Rehabilitation Robotics (50 papers). Jaeheung Park is often cited by papers focused on Robot Manipulation and Learning (62 papers), Robotic Locomotion and Control (57 papers) and Prosthetics and Rehabilitation Robotics (50 papers). Jaeheung Park collaborates with scholars based in South Korea, United States and Germany. Jaeheung Park's co-authors include Oussama Khatib, Luis Sentis, Ji‐Hun Bae, Jae‐Han Park, Hyeonjun Park, Moon-Hong Baeg, Sang-Hyun Kim, Minsung Kim, Dong‐Hyuk Lee and Nicolas Mansard and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jaeheung Park

143 papers receiving 2.0k citations

Peers

Jaeheung Park
Comparison fields: 5 of 93
  • Control and Systems Engineering 1.3k
  • Biomedical Engineering 1.1k
  • Mechanical Engineering 492
  • Computer Vision and Pattern Recognition 413
  • Industrial and Manufacturing Engineering 153
Replace Venkat Krovi with:
Venkat Krovi United States
Jae-Bok Song South Korea
Yasuhisa Hirata Japan
Nicola Pedrocchi Italy
Nikos Aspragathos Greece
Karim Abdel‐Malek United States
Bernhard Thomaszewski Switzerland
Dongming Gan United Arab Emirates
Ken Chen China
Weiwei Wan Japan
Venkat Krovi United States View profile →
Citations per field, relative to Jaeheung Park
Jaeheung Park · 1×
Citations per year, relative to Jaeheung Park
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Countries citing papers authored by Jaeheung Park

Since Specialization
Citations

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

Fields of papers citing papers by Jaeheung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeheung Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jaeheung Park. A scholar is included among the top collaborators of Jaeheung Park 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 Jaeheung Park. Jaeheung Park 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
# Work Indexed citations
1 2
2 0
3 0
4 2
5 3
6 5
7 0
8 2
9 4
10 8
11 4
12 40
13 4
14 1
15 4
16 0
17 3
18 1
19 3
20
Development of actuation system for wearable robots using spiral spring
5

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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