Science Explorer Back to mapMap
Discussion
Researcher · Guangdong Polytechnic Normal University · China

Mingjun Ouyang

Mingjun Ouyang publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, on topics such as Advanced Data Compression Techniques, Image and Object Detection Techniques and Robotics and Sensor-Based Localization.

ORCID 0000-0002-5132-0595 OpenAlex
World rank
#4,167,899
of 7,710,434 ranked researchers
Rank in China
#644,624
of 978,568
Works
15
Citations
58
Citations per work
3.9
h-index
3
i10-index 2Top 97% in Computer Vision and Pattern Recognition
Mingjun Ouyang

What does Mingjun Ouyang research?

Mingjun Ouyang's work is mostly in Computer Science (45%), Engineering (30%).

Physical Sciences: 11 works · 75.0% of their workComputer Science: 7 works · 45.0% of their workComputer Vision and Pattern Recognition: 3 works · 20.0% of their workComputer Networks and Communications: 2 works · 10.0% of their workSignal Processing: 2 works · 10.0% of their workInformation Systems: 1 works · 5.0% of their workEngineering: 4 works · 30.0% of their workAerospace Engineering: 3 works · 20.0% of their workElectrical and Electronic Engineering: 2 works · 10.0% of their workEverything else: 4 works · 25.0% of their workTHEIR WORKMingjun Ouyang15works
Physical Sciences75%

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. Computer Science745.0%
    2. Engineering430.0%
  2. Everything else425.0%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Aerospace Engineering20% of their works
  3. 3Electrical and Electronic Engineering10% of their works
  4. 4Signal Processing10% of their works
  5. 5Computer Networks and Communications10% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Mingjun Ouyang's research?

The keywords of their largest research topics: Deep Learning, JPEG2000, Wavelet Compression, 3D Mapping, Global Navigation Satellite Systems, GNSS, Hough Transform and Indoor Localization.

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 17 words, with their numbers
  1. Deep Learning52 topics
  2. JPEG200041 topic
  3. Wavelet Compression41 topic
  4. 3D Mapping21 topic
  5. GNSS21 topic
  6. Global Navigation Satellite Systems21 topic
  7. Hough Transform21 topic
  8. Indoor Localization21 topic
  9. Line Detection21 topic
  10. MIMO-OFDM21 topic
  11. Remote Sensing21 topic
  12. SLAM21 topic
  13. Soil Moisture21 topic
  14. Space-Time Coding21 topic
  15. Wireless Sensor Networks21 topic
  16. Edge Computing11 topic
  17. Internet of Things11 topic

Where does Mingjun Ouyang work?

Mingjun Ouyang's main affiliation in the publication record is Guangdong Polytechnic Normal University, China.

How many publications and citations does Mingjun Ouyang have?

OpenAlex counts 15 works and 58 citations for Mingjun Ouyang, an h-index of 3, ranking #4,167,899 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.

Other researchers named Mingjun Ouyang

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

Ask a question or share a note about Mingjun Ouyang. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.