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Researcher · Autodesk (United States) · United States

Jieliang Luo

Jieliang Luo publishes mostly in Artificial Intelligence, Industrial and Manufacturing Engineering and Control and Systems Engineering, on topics such as Manufacturing Process and Optimization, Reinforcement Learning in Robotics and 3D Shape Modeling and Analysis.

ORCID 0000-0002-3298-9111 OpenAlex
World rank
#2,012,415
of 7,710,434 ranked researchers
Rank in United States
#610,645
of 1,627,098
Works
39
Citations
493
Citations per work
12.6
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Jieliang Luo

What does Jieliang Luo research?

Jieliang Luo's work is mostly in Engineering (33%), Computer Science (27%), Earth and Planetary Sciences (6%).

Physical Sciences: 26 works · 66.0% of their workEngineering: 13 works · 33.0% of their workIndustrial and Manufacturing Engineering: 5 works · 12.0% of their workControl and Systems Engineering: 4 works · 11.0% of their workComputational Mechanics: 4 works · 10.0% of their workComputer Science: 11 works · 27.0% of their workArtificial Intelligence: 7 works · 18.0% of their workComputer Vision and Pattern Recognition: 4 works · 9.0% of their workEarth and Planetary Sciences: 2 works · 6.0% of their workGeology: 2 works · 6.0% of their workEverything else: 13 works · 34.0% of their workTHEIR WORKJieliang Luo39works
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. Engineering1333.0%
    2. Computer Science1127.0%
    3. Earth and Planetary Sciences26.0%
  2. Everything else1334.0%
  1. 1Artificial Intelligence18% of their works
  2. 2Industrial and Manufacturing Engineering12% of their works
  3. 3Control and Systems Engineering11% of their works
  4. 4Computational Mechanics10% of their works
  5. 5Computer Vision and Pattern Recognition9% of their works
  6. 6Geology6% of their works

Research topics

Which keywords describe Jieliang Luo's research?

The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Neural Networks, Assembly Planning, Design for Manufacture, Reinforcement Learning and Robotics.

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 20 words, with their numbers
  1. Deep Learning314 topics
  2. 3D Reconstruction152 topics
  3. Point Clouds152 topics
  4. Neural Networks132 topics
  5. Assembly Planning111 topic
  6. Design for Manufacture111 topic
  7. Reinforcement Learning101 topic
  8. Robotics101 topic
  9. Grasping91 topic
  10. Mesh Segmentation91 topic
  11. Robot Learning91 topic
  12. Shape Representation91 topic
  13. Photogrammetry61 topic
  14. UAV61 topic
  15. Computer Graphics41 topic
  16. Visualization41 topic
  17. Adversarial Examples31 topic
  18. Interpretable Models31 topic
  19. Machine Learning Interpretability31 topic
  20. Robustness31 topic

Where does Jieliang Luo work?

Jieliang Luo's main affiliation in the publication record is Autodesk (United States), United States.

How many publications and citations does Jieliang Luo have?

OpenAlex counts 39 works and 493 citations for Jieliang Luo, an h-index of 9, ranking #2,012,415 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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