Xingye Da

801 citations
15 papers · 481 · h-index 9

Impact in

Papers in

Xingye Da

15 papers receiving 474 citations

Peers

Xingye Da
Comparison fields: 5 of 45
  • Biomedical Engineering 423
  • Control and Systems Engineering 150
  • Genetics 40
  • Computer Vision and Pattern Recognition 70
  • Artificial Intelligence 90
Replace Garth Zeglin with:
Garth Zeglin United States
X Xinjilefu United States
Seung‐Joon Yi South Korea
Young-Dae Hong South Korea
Patrick Clary United States
Majid Khadiv Iran
Ryan W. Sinnet United States
Wen-Loong Ma United States
Sylvain Bertrand United States
Pranav A. Bhounsule United States
Xingye Da relative to Garth Zeglin United States Garth Zeglin's profile →
Citations per field
00.5×5.6×
Garth Zeglin · 1×
Citations per year

Countries citing papers authored by Xingye Da

Since Specialization
Citations

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

Fields of papers citing papers by Xingye Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Xingye Da, 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 Xingye Da Line = papers co-authored together Xingye Da links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019136
2 201675
3 202151
4 201942
5 201742
6 202232
7 201732
8 202029
9 201712
10 20167
11
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
20206
12 20135
13 20124
14 20124
15 20204

About Xingye Da

Xingye Da is a scholar working on Biomedical Engineering, Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 15 papers that have together received 481 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (15 papers), Prosthetics and Rehabilitation Robotics (7 papers), Reinforcement Learning in Robotics (4 papers), Soil Mechanics and Vehicle Dynamics (3 papers), Biomimetic flight and propulsion mechanisms (3 papers), Hydraulic and Pneumatic Systems (2 papers), Control and Dynamics of Mobile Robots (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Biomedical Engineering (423 citations), Control and Systems Engineering (150 citations), Genetics (40 citations), Computer Vision and Pattern Recognition (70 citations) and Artificial Intelligence (90 citations). Xingye Da has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Jessy W. Grizzle, Ross Hartley, Omar Harib, Ayonga Hereid, Jiunn-Kai Huang, Yukai Gong, Zhaoming Xie, Animesh Garg, B. N. Babich and Michiel van de Panne. Their work appears in journals such as IEEE Access, The International Journal of Robotics Research, Journal of Computational and Nonlinear Dynamics, 2017 IEEE Conference on Control Technology and Applications (CCTA) and WORLD SCIENTIFIC eBooks.

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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