Hai‐Jun Su

5.0k citations
174 papers · 3.9k · h-index 33

Impact in

Papers in

    • Robotic Mechanisms and Dynamics 63
    • Piezoelectric Actuators and Control 54
    • Robot Manipulation and Learning 23
    • Iterative Learning Control Systems 20
    • Soft Robotics and Applications 32
    • Prosthetics and Rehabilitation Robotics 20

Hai‐Jun Su

169 papers receiving 3.9k citations

Peers

Hai‐Jun Su
Comparison fields: 5 of 110
  • Control and Systems Engineering 2.0k
  • Biomedical Engineering 1.5k
  • Industrial and Manufacturing Engineering 228
  • Mechanical Engineering 821
  • Automotive Engineering 247
Replace George T.‐C. Chiu with:
George T.‐C. Chiu United States
Shaorong Xie China
Jun Luo China
Lining Sun China
James K. Mills Canada
Yuechao Wang China
Sergej Fatikow Germany
Dong‐il Cho South Korea
Kensuke Harada Japan
Gholamreza Vossoughi Iran
Hai‐Jun Su relative to George T.‐C. Chiu United States George T.‐C. Chiu's profile →
Citations per field
00.5×1.7×
George T.‐C. Chiu · 1×
Citations per year

Countries citing papers authored by Hai‐Jun Su

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Jun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Jun Su. 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 Hai‐Jun Su. The network helps show where Hai‐Jun Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015321
2 2009201
3 2015167
4 2015109
5 2013106
6 201197
7 200996
8 201691
9 201280
10 201678
11 201677
12 200970
13 202167
14 201561
15 201860
16 202059
17 201657
18 201554
19 200954
20 201854

About Hai‐Jun Su

Hai‐Jun Su is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computational Mechanics and Molecular Biology, having authored 174 papers that have together received 3.9k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (63 papers), Piezoelectric Actuators and Control (54 papers), Soft Robotics and Applications (32 papers), Robot Manipulation and Learning (23 papers), Iterative Learning Control Systems (20 papers), Prosthetics and Rehabilitation Robotics (20 papers), Advanced Numerical Analysis Techniques (20 papers) and Advanced biosensing and bioanalysis techniques (19 papers). The work is most often cited by research in Control and Systems Engineering (2.0k citations), Biomedical Engineering (1.5k citations), Industrial and Manufacturing Engineering (228 citations), Mechanical Engineering (821 citations) and Automotive Engineering (247 citations). Hai‐Jun Su has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Carlos E. Castro, Lifeng Zhou, Alexander E. Marras, Yu She, Venkatasubramanian Kalpathy Venkiteswaran, J. Michael McCarthy, Hongliang Shi, Junmin Wang, Judy M. Vance and Richard J. Jagacinski. Their work appears in journals such as Mechanism and Machine Theory, Journal of Mechanisms and Robotics, Journal of Mechanical Design, Nanoscale and Journal of Computing and Information Science in Engineering.

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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