Science Explorer Back to mapMap
Discussion
Researcher · Guizhou University · China

Pengju Qu

Pengju Qu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, on topics such as Robotic Path Planning Algorithms, Metaheuristic Optimization Algorithms Research and Vehicle Routing Optimization Methods.

ORCID 0000-0002-3180-1105 OpenAlex
World rank
#2,235,751
of 7,710,434 ranked researchers
Rank in China
#347,135
of 978,568
Works
19
Citations
90
Citations per work
4.7
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
Pengju Qu

What does Pengju Qu research?

Pengju Qu's work is mostly in Computer Science (49%), Engineering (28%).

Physical Sciences: 15 works · 77.3% of their workComputer Science: 9 works · 49.2% of their workComputer Vision and Pattern Recognition: 4 works · 22.8% of their workArtificial Intelligence: 4 works · 21.1% of their workComputational Theory and Mathematics: 1 works · 5.3% of their workEngineering: 5 works · 28.1% of their workIndustrial and Manufacturing Engineering: 2 works · 12.3% of their workControl and Systems Engineering: 2 works · 10.5% of their workMechanical Engineering: 1 works · 5.3% of their workEverything else: 4 works · 22.7% of their workTHEIR WORKPengju Qu19works
Physical Sciences77%

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 Science949.2%
    2. Engineering528.1%
  2. Everything else422.7%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Industrial and Manufacturing Engineering12% of their works
  4. 4Control and Systems Engineering10% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Mechanical Engineering5% of their works

Research topics

Which keywords describe Pengju Qu's research?

The keywords of their largest research topics: Metaheuristics, Path Planning, Evolutionary Algorithms, Multi-Agent Systems, Particle Swarm Optimization, Optimal Motion Planning, Sampling-Based Algorithms and Ant Colony Optimization.

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 23 words, with their numbers
  1. Metaheuristics122 topics
  2. Path Planning122 topics
  3. Evolutionary Algorithms112 topics
  4. Multi-Agent Systems112 topics
  5. Particle Swarm Optimization112 topics
  6. Optimal Motion Planning91 topic
  7. Sampling-Based Algorithms91 topic
  8. Ant Colony Optimization81 topic
  9. Differential Evolution81 topic
  10. Deep Learning73 topics
  11. Neural Networks52 topics
  12. Heuristic Algorithms41 topic
  13. Vehicle Routing Problem41 topic
  14. Adaptive Control31 topic
  15. Grasping31 topic
  16. Multiobjective Optimization31 topic
  17. Robot Learning31 topic
  18. Surrogate Modeling31 topic
  19. Trajectory Tracking31 topic
  20. Convolutional Neural Networks21 topic
  21. Image Recognition21 topic
  22. Reinforcement Learning21 topic
  23. Robotics21 topic

Where does Pengju Qu work?

Pengju Qu's main affiliation in the publication record is Guizhou University, China.

How many publications and citations does Pengju Qu have?

OpenAlex counts 19 works and 90 citations for Pengju Qu, an h-index of 6, ranking #2,235,751 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.

Discussion

Ask a question or share a note about Pengju Qu. Posts are plain text and can be reported.