L. Han

544 citations
14 papers · 394 · h-index 7

Impact in

Papers in

L. Han

14 papers receiving 383 citations

Peers

L. Han
Comparison fields: 5 of 38
  • Control and Systems Engineering 349
  • Biomedical Engineering 217
  • Human-Computer Interaction 17
  • Mechanical Engineering 106
  • Computer Vision and Pattern Recognition 58
Replace Jeffrey C. Trinkle with:
Jeffrey C. Trinkle United States
Wen‐Han Qian China
Robert Paolini United States
Tokuji Okada Japan
Arne Wahrburg Germany
Dan Reznik United States
Salvador Cobos-Guzmán United Kingdom
Matthew S. Moses United States
Hyun Seok Oh South Korea
Akio Noda Japan
L. Han relative to Jeffrey C. Trinkle United States Jeffrey C. Trinkle's profile →
Citations per field
00.5×6.7×
Jeffrey C. Trinkle · 1×
Citations per year

Countries citing papers authored by L. Han

Since Specialization
Citations

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

Fields of papers citing papers by L. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside L. Han, 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 L. Han Line = papers co-authored together L. Han links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003172
2 2002109
3 201637
4 200222
5 200218
6 201711
7 20118
8 20025
9 20234
10 20232
11 20142
12 20212
13 20211
14 20231

About L. Han

L. Han is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 14 papers that have together received 394 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Soft Robotics and Applications (5 papers), Robotic Mechanisms and Dynamics (4 papers), Advanced DC-DC Converters (2 papers), Distributed Control Multi-Agent Systems (2 papers), Multilevel Inverters and Converters (2 papers), Teleoperation and Haptic Systems (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (349 citations), Biomedical Engineering (217 citations), Human-Computer Interaction (17 citations), Mechanical Engineering (106 citations) and Computer Vision and Pattern Recognition (58 citations). L. Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jeff Trinkle, Zexiang Li, Kai Xu, Xiangyang Zhu, Shengming Jiang, Shuntao Liu, Yang Gao, Xin Wei, Deyou Li and Ruzhi Gong. Their work appears in journals such as Laser Physics, IEEE Transactions on Power Electronics, Industrial Robot the international journal of robotics research and application, Journal of Mechanical Engineering and Journal of Mechanical Science and Technology.

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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