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Researcher · The University of Sydney · Australia

Mao Shan

Mao Shan publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, on topics such as Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization and Advanced Neural Network Applications.

ORCID 0000-0002-5032-6581 OpenAlex
World rank
#1,035,450
of 7,710,434 ranked researchers
Rank in Australia
#33,614
of 140,210
Works
129
Citations
1.6k
Citations per work
12.4
h-index
24
i10-index 47Top 8.9% in Computer Vision and Pattern Recognition
Mao Shan

What does Mao Shan research?

Mao Shan's work is mostly in Computer Science (27%), Engineering (22%), Environmental Science (3%).

Physical Sciences: 66 works · 51.5% of their workComputer Science: 34 works · 26.6% of their workComputer Vision and Pattern Recognition: 26 works · 20.0% of their workArtificial Intelligence: 9 works · 6.6% of their workEngineering: 28 works · 21.6% of their workAerospace Engineering: 11 works · 8.5% of their workElectrical and Electronic Engineering: 9 works · 6.8% of their workAutomotive Engineering: 8 works · 6.3% of their workEnvironmental Science: 4 works · 3.3% of their workEnvironmental Engineering: 4 works · 3.3% of their workEverything else: 63 works · 48.5% of their workTHEIR WORKMao Shan129works
Physical Sciences52%

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 Science3426.6%
    2. Engineering2821.6%
    3. Environmental Science43.3%
  2. Everything else6348.5%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Aerospace Engineering8% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Automotive Engineering6% of their works
  6. 6Environmental Engineering3% of their works

Research topics

Which keywords describe Mao Shan's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Sensor Fusion, Autonomous Vehicles, Collision Avoidance, Driver Assistance Systems, Trajectory Prediction 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.

All 21 words, with their numbers
  1. Deep Learning593 topics
  2. Convolutional Neural Networks362 topics
  3. Sensor Fusion362 topics
  4. Autonomous Vehicles352 topics
  5. Collision Avoidance352 topics
  6. Driver Assistance Systems231 topic
  7. Trajectory Prediction231 topic
  8. 3D Mapping221 topic
  9. SLAM221 topic
  10. Image Recognition181 topic
  11. Object Detection181 topic
  12. Object Tracking181 topic
  13. Visual Tracking181 topic
  14. Nonlinear Estimation131 topic
  15. Particle Filters131 topic
  16. Forest Carbon Stocks121 topic
  17. Lidar Remote Sensing121 topic
  18. Optimal Motion Planning121 topic
  19. Sampling-Based Algorithms121 topic
  20. Depth Estimation101 topic
  21. Stereo Vision101 topic

Where does Mao Shan work?

Mao Shan's main affiliation in the publication record is The University of Sydney, Australia.

How many publications and citations does Mao Shan have?

OpenAlex counts 129 works and 1,602 citations for Mao Shan, an h-index of 24, ranking #1,035,450 of 7,710,434 researchers worldwide on the quality 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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