X. Yun

1.7k citations
32 papers · 1.0k · h-index 16

Impact in

Papers in

X. Yun

32 papers receiving 984 citations

Peers

X. Yun
Comparison fields: 5 of 55
  • Control and Systems Engineering 794
  • Computer Vision and Pattern Recognition 264
  • Mechanical Engineering 305
  • Biomedical Engineering 330
  • Human-Computer Interaction 38
Replace Hanxu Sun with:
Hanxu Sun China
Matteo Fumagalli Denmark
Boubaker Daâchi France
Jeremy Ma United States
Naoji Shiroma Japan
T. Hori Japan
Alireza Mohammadi United States
B. Faverjon France
R. Piguet Switzerland
Kaiyu Hang United States
X. Yun relative to Hanxu Sun China Hanxu Sun's profile →
Citations per field
00.5×1.5×
Hanxu Sun · 1×
Citations per year

Countries citing papers authored by X. Yun

Since Specialization
Citations

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

Fields of papers citing papers by X. Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside X. Yun, 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 X. Yun Line = papers co-authored together X. Yun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991243
2 200296
3 198687
4 199979
5 200371
6 200571
7 199156
8 198846
9 200536
10 200236
11 200233
12 198622
13 198518
14 200218
15 200316
16 200215
17
An Experimental Study of an Integrated GPS/INS System for Shallow-Water AUV Navigation (SANS)
199513
18
Nonlinear feedback control of multiple robot arms
198712
19 200212
20 198511

About X. Yun

X. Yun is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (21 papers), Robotic Mechanisms and Dynamics (14 papers), Soft Robotics and Applications (12 papers), Teleoperation and Haptic Systems (10 papers), Robotic Path Planning Algorithms (6 papers), Inertial Sensor and Navigation (4 papers), Underwater Vehicles and Communication Systems (4 papers) and Dynamics and Control of Mechanical Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (794 citations), Computer Vision and Pattern Recognition (264 citations), Mechanical Engineering (305 citations), Biomedical Engineering (330 citations) and Human-Computer Interaction (38 citations). X. Yun has collaborated with scholars based in United States, China and Canada. Frequent co-authors include A.K. Bejczy, T.J. Tarn, Y. Yamamoto, Vinod Kumar, Robert B. McGhee, E.R. Bachmann, Michael Zyda, A. J. Healey, Nilanjan Sarkar and Vijay Kumar. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Journal of Oceanic Engineering, IEEE Transactions on Aerospace and Electronic Systems, X-Ray Spectrometry and Zenodo (CERN European Organization for Nuclear Research).

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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