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Researcher · Beijing Academy of Artificial Intelligence · China

Hangxin Liu

Hangxin Liu publishes mostly in Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Robot Manipulation and Learning, Robotic Path Planning Algorithms and Robotics and Sensor-Based Localization.

ORCID 0000-0002-3003-8611 OpenAlex
World rank
#1,007,829
of 7,710,434 ranked researchers
Rank in China
#141,876
of 978,568
Works
121
Citations
1.3k
Citations per work
10.8
h-index
19
i10-index 38Top 14% in Control and Systems Engineering
Hangxin Liu

What does Hangxin Liu research?

Hangxin Liu's work is mostly in Engineering (43%), Computer Science (23%).

Physical Sciences: 80 works · 66.2% of their workEngineering: 53 works · 43.4% of their workControl and Systems Engineering: 19 works · 15.3% of their workElectrical and Electronic Engineering: 12 works · 10.0% of their workBiomedical Engineering: 11 works · 9.2% of their workAerospace Engineering: 11 works · 8.9% of their workComputer Science: 28 works · 22.8% of their workComputer Vision and Pattern Recognition: 15 works · 12.5% of their workArtificial Intelligence: 12 works · 10.3% of their workEverything else: 41 works · 33.8% of their workTHEIR WORKHangxin Liu121works
Physical Sciences66%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering5343.4%
    2. Computer Science2822.8%
  2. Everything else4133.8%
  1. 1Control and Systems Engineering15% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Electrical and Electronic Engineering10% of their works
  5. 5Biomedical Engineering9% of their works
  6. 6Aerospace Engineering9% of their works

Research topics

Which keywords describe Hangxin Liu's research?

The keywords of their largest research topics: Deep Learning, Multi-Agent Systems, Grasping, Robot Learning, Robotics, Optimal Motion Planning, Sampling-Based Algorithms and 3D Mapping.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Deep Learning573 topics
  2. Multi-Agent Systems332 topics
  3. Grasping321 topic
  4. Robot Learning321 topic
  5. Robotics312 topics
  6. Optimal Motion Planning201 topic
  7. Sampling-Based Algorithms201 topic
  8. 3D Mapping181 topic
  9. SLAM181 topic
  10. Electromagnetics151 topic
  11. Finite-Difference Time-Domain151 topic
  12. Neural Networks131 topic
  13. Reinforcement Learning131 topic
  14. Bipedal Locomotion121 topic
  15. Character Animation121 topic
  16. Dynamic Walking121 topic
  17. Motion Synthesis121 topic
  18. Cross-modal Plasticity111 topic
  19. Tactile Perception111 topic

Where does Hangxin Liu work?

Hangxin Liu's main affiliation in the publication record is Beijing Academy of Artificial Intelligence, China.

How many publications and citations does Hangxin Liu have?

OpenAlex counts 121 works and 1,312 citations for Hangxin Liu, an h-index of 19, ranking #1,007,829 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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