Beiping Hou
Beiping Hou publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering, on topics such as Optical measurement and interference techniques, Image and Object Detection Techniques and Soft Robotics and Applications.
- World rank
- #792,894 of 1,633,909 ranked researchers
- Rank in China
- #64,586 of 187,979
- Works
- 15
- Citations
- 11
- Citations per work
- 0.7
What does Beiping Hou research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition40% of their works
- 2Biomedical Engineering20% of their works
- 3Control and Systems Engineering20% of their works
- 4Industrial and Manufacturing Engineering20% of their works
Research topics
Which keywords describe Beiping Hou's research?
The keywords of their largest research topics: Deep Learning, Bioinspired Robotics, Camera Calibration, Fabric Defect Detection, Grasping, Hough Transform, Line Detection and Machine Vision.
- Soft Robotics
- Machine Vision
- Hough Transform
- Fabric Defect Detection
- Bioinspired Robotics
- Deep Learning
- Camera Calibration
- Grasping
- Line Detection
- Robot Learning
- Structured Light
Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.
All 11 words, with their numbers
- Deep Learning22 topics
- Bioinspired Robotics11 topic
- Camera Calibration11 topic
- Fabric Defect Detection11 topic
- Grasping11 topic
- Hough Transform11 topic
- Line Detection11 topic
- Machine Vision11 topic
- Robot Learning11 topic
- Soft Robotics11 topic
- Structured Light11 topic
Where does Beiping Hou work?
Beiping Hou's main affiliation in the publication record is Zhejiang University of Science and Technology, China.
How many publications and citations does Beiping Hou have?
Science Explorer counts 15 works and 11 citations for Beiping Hou, ranking #792,894 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.