Junhyoung Ha

576 citations
29 papers · 427 indexed · h-index 12

Impact in

Papers in

Junhyoung Ha

25 papers receiving 416 citations

Peers

Junhyoung Ha
Comparison fields: 5 of 63
  • Control and Systems Engineering 214
  • Condensed Matter Physics 74
  • Biomedical Engineering 277
  • Mechanical Engineering 178
  • Computer Vision and Pattern Recognition 71
Replace Mohsen Khadem with:
Mohsen Khadem United Kingdom
Jiewen Lai Hong Kong
Daniel Glozman Israel
Jérémie Dequidt France
Wuzhou Hong China
Konrad Leibrandt United Kingdom
Shaoya Guan China
Eulalie Coevoet France
Pierre Berthet-Rayne United Kingdom
Zhongkai Zhang China
Junhyoung Ha relative to Mohsen Khadem United Kingdom Mohsen Khadem's profile →
Citations per field
00.5×1.5×1.9×
Mohsen Khadem · 1×
Citations per year

Countries citing papers authored by Junhyoung Ha

Since Specialization
Citations

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

Fields of papers citing papers by Junhyoung Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Junhyoung Ha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junhyoung Ha Line = papers co-authored together Junhyoung Ha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20240
5 20240
6 202115
7 20212
8 20206
9 20201
10 202028
11 201914
12 201911
13 201848
14 20177
15 20165
16 201626
17 201616
18 201531
19 201432
20 201353

About Junhyoung Ha

Junhyoung Ha is a scholar working on Control and Systems Engineering, Human-Computer Interaction, Anesthesiology and Pain Medicine, Biophysics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 427 indexed citations. Recurring topics across this work include Soft Robotics and Applications (15 papers), Robot Manipulation and Learning (13 papers), Modular Robots and Swarm Intelligence (6 papers), Robotic Mechanisms and Dynamics (5 papers), Robotic Path Planning Algorithms (5 papers), Micro and Nano Robotics (4 papers), Tracheal and airway disorders (3 papers) and Advanced Surface Polishing Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (214 citations), Condensed Matter Physics (74 citations), Biomedical Engineering (277 citations), Mechanical Engineering (178 citations) and Computer Vision and Pattern Recognition (71 citations). Junhyoung Ha has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Pierre E. Dupont, Frank C. Park, Donghoon Kang, F.C. Park, Young Bum Kim, Woosub Lee, Sungchul Kang, Jiaole Wang, Soonkyum Kim and Aditya K. Kaza. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, IEEE Transactions on Biomedical Engineering, Soft Robotics and Journal of Thoracic and Cardiovascular Surgery.

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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