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Research facility · Shenzhen · China

Shenzhen Academy of Robotics

In research, Shenzhen Academy of Robotics stands highest in Physical Sciences (#2,913 of 12,888 worldwide), Engineering (#2,327 of 6,636 worldwide) and Computer Science (#2,199 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering — Computer Vision and Pattern Recognition is 10.7× its share of world research.

szarobots.comROR OpenAlex
World rank, 2022–2025
#5,004
of 28,054 · #12,053 all time
Rank in China
#1,102
of 3,058
Research works
596
▲ 705% vs 2013–17
Citations
9.9k
16.7 per fractional work
Top-10% rate
24.9%
record average 16.5%
Open access
24%
world 28%

What is Shenzhen Academy of Robotics known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #2,913 of 12,888 25.7%273 #7121
EngineeringField #2,327 of 6,636 22.7%152 #5219
Computer ScienceField #2,199 of 4,667 28.5%92 #3619

Each strip is that field’s whole ranked pool, with the notch where Shenzhen Academy of Robotics sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Physical Sciences#7,121 #2,913
  2. Engineering#5,219 #2,327
  3. Computer Science#3,619 #2,199
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Shenzhen Academy of Robotics specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 10.7× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 42.5 works11×
  2. Control and Systems EngineeringSubfield · 26.6 works7.8×
  3. Biomedical EngineeringSubfield · 34.1 works5.2×
  4. Computer ScienceField · 91.9 works3.8×
← less than its size predicts1×more →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.07× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.29× its world share, 5 worksBiochemistry, Geneti…Immunology and Microbiology: 0.12× its world share, 0 worksImmunology and Micro…Neuroscience: 1.34× its world share, 7 worksNeuroscienceChemical Engineering: 0.86× its world share, 1 worksChemical EngineeringChemistry: 0.18× its world share, 1 worksChemistryComputer Science: 3.75× its world share, 92 worksComputer ScienceEarth and Planetary Sciences: 0.48× its world share, 2 worksEarth and Planetary …Energy: 1.08× its world share, 3 worksEnergyEngineering: 3.21× its world share, 152 worksEngineeringEnvironmental Science: 0.35× its world share, 6 worksEnvironmental ScienceMaterials Science: 0.45× its world share, 5 worksMaterials ScienceMathematics: 0.19× its world share, 1 worksMathematicsPhysics and Astronomy: 1.46× its world share, 10 worksPhysics and AstronomyDentistry: 0.31× its world share, 0 worksDentistryHealth Professions: 0.10× its world share, 1 worksHealth ProfessionsMedicine: 0.15× its world share, 9 worksMedicineNursing: 0.22× its world share, 0 worksNursingArts and Humanities: 0.11× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.43× its world share, 4 worksBusiness, Management…Decision Sciences: 0.99× its world share, 3 worksDecision SciencesEconomics, Econometrics and Finance: 0.45× its world share, 3 worksEconomics, Econometr…Psychology: 0.11× its world share, 1 worksPsychologySocial Sciences: 0.16× its world share, 6 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 3.8×. Every wedge is a field page.

Who are the top researchers at Shenzhen Academy of Robotics?

Ranked on the composite score, Yaonan Li lead among researchers whose main affiliation is Shenzhen Academy of Robotics.

  1. 1 Yaonan Li China · #1,352,827 worldwide 14 citations · 20 works
All ranked researchers at Shenzhen Academy of Robotics

Which keywords describe research at Shenzhen Academy of Robotics?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Biomedical Applications, Robotic Manipulators, Soft Robotics, Convolutional Neural Networks, Smart Grid and Robotics.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning65▲ 6.0×65 topics
  2. Neural Networks28▲ 5.8×30 topics
  3. Biomedical Applications19▲ 5.1×14 topics
  4. Machine Learning19▲ 1.83×45 topics
  5. Convolutional Neural Networks14▲ 6.0×14 topics
  6. Robotic Manipulators13▲ 42×3 topics
  7. Soft Robotics13▲ 56×2 topics
  8. Smart Grid11▲ 9.2×7 topics
  9. Renewable Energy11▲ 2.4×17 topics
  10. Robotics11▲ 14×5 topics
  11. Bioinspired Robotics10▲ 93×1 topic
  12. Continuum Robots10▲ 93×1 topic
  13. Minimally Invasive Surgery10▲ 58×2 topics
  14. Multi-Agent Systems9▲ 16×4 topics
  15. Grasping9▲ 77×1 topic
  16. Robot Learning9▲ 77×1 topic
  17. Renewable Energy Integration9▲ 8.2×5 topics
  18. Distributed Control9▲ 24×3 topics
  19. Path Planning8▲ 20×3 topics
  20. Autonomous Vehicles8▲ 11×4 topics
  21. Actuators7▲ 15×5 topics
  22. Collective Behavior7▲ 35×2 topics
  23. Collision Avoidance7▲ 13×3 topics
  24. Self-Assembly7▲ 7.0×3 topics
  25. Mobile Robots7▲ 23×3 topics
  26. Electric Vehicles7▲ 7.5×4 topics
  27. Modular Robots7▲ 54×1 topic
  28. Self-Reconfiguration7▲ 54×1 topic
  29. Hydrodynamics7▲ 36×2 topics
  30. Sparse Representation7▲ 11×5 topics
  31. Fluid Dynamics6▲ 14×3 topics
  32. Optimal Motion Planning6▲ 25×1 topic
  33. Sampling-Based Algorithms6▲ 25×1 topic
  34. Colloidal Particles6▲ 34×2 topics
  35. Unsupervised Learning6▲ 13×3 topics
  36. Adaptive Control6▲ 14×6 topics
  37. Energy Harvesting6▲ 10×3 topics
  38. Feedback Control6▲ 11×7 topics
  39. Micro/Nanomotors6▲ 75×1 topic
  40. Self-Propulsion6▲ 75×1 topic

Which research topics does Shenzhen Academy of Robotics publish most on?

By volume in 2022–2025: Soft Robotics and Applications, Robot Manipulation and Learning, Modular Robots and Swarm Intelligence and Robotic Path Planning Algorithms.

Soft Robotics and Applications: 10 fractional worksRobot Manipulation and Learning: 9 fractional worksModular Robots and Swarm…7Modular Robots and Swarm Intelligence: 7 fractional worksRobotic Path Planning Al…6Robotic Path Planning Algorithms: 6 fractional worksMicro and Nano Robotics: 6 fractional worksRobotics and Sensor-Based Localization: 5 fractional worksRobotic Locomotion and C…5Robotic Locomotion and Control: 5 fractional worksElectric Vehicles and In…4Electric Vehicles and Infrastructure: 4 fractional worksSmart Grid Energy Manage…4Smart Grid Energy Management: 4 fractional worksAdvanced Neural Network …4Advanced Neural Network Applications: 4 fractional works
Biomedical EngineeringControl and Systems EngineeringMechanical EngineeringComputer Vision and Pattern Recognition3 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Soft Robotics and Applications Biomedical Engineering 10 works
  2. 2 Robot Manipulation and Learning Control and Systems Engineering 9 works
  3. 3 Modular Robots and Swarm Intelligence Mechanical Engineering 7 works
  4. 4 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 6 works
  5. 5 Micro and Nano Robotics Condensed Matter Physics 6 works
  6. 6 Robotics and Sensor-Based Localization Aerospace Engineering 5 works
  7. 7 Robotic Locomotion and Control Biomedical Engineering 5 works
  8. 8 Electric Vehicles and Infrastructure Electrical and Electronic Engineering 4 works
  9. 9 Smart Grid Energy Management Electrical and Electronic Engineering 4 works
  10. 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available24.1%not open75.9%

World: 28% of research is openly available.

with international co-authors29.5%domestic only70.5%

World: 19% is written across borders.

How has Shenzhen Academy of Robotics's research output changed?

Output in 2018–2022 was 705% higher than in 2013–2017.

2005201020152020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Shenzhen

All research institutions in Shenzhen

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.