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Company · Hangzhou · China

Dahua Technology (China)

In research, Dahua Technology (China) stands highest in Physical Sciences (#7,827 of 12,888 worldwide) and Engineering (#5,413 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 9.8× its share of world research.

World rank, 2022–2025
#12,822
of 28,054 · #26,027 all time
Rank in China
#2,190
of 3,058
Research works
338
▲ 292% vs 2013–17
Citations
1.9k
5.5 per fractional work
Top-10% rate
11.9%
record average 16.5%
Open access
28%
world 28%

What is Dahua Technology (China) 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 #7,827 of 12,888 11.3%151 #15099
EngineeringField #5,413 of 6,636 10.6%69 #10463

Each strip is that field’s whole ranked pool, with the notch where Dahua Technology (China) 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).

What does Dahua Technology (China) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 9.8× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 22.1 works9.8×
← less than its size predictsmore →

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: 0.45× its world share, 4 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.46× its world share, 4 worksBiochemistry, Geneti…Immunology and Microbiology: 0.19× its world share, 0 worksImmunology and Micro…Neuroscience: 0.30× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.11× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 2.09× its world share, 1 worksChemical EngineeringChemistry: 2.21× its world share, 6 worksChemistryComputer Science: 3.21× its world share, 45 worksComputer ScienceEarth and Planetary Sciences: 0.56× its world share, 2 worksEarth and Planetary …Energy: 2.10× its world share, 4 worksEnergyEngineering: 2.58× its world share, 69 worksEngineeringEnvironmental Science: 0.91× its world share, 8 worksEnvironmental ScienceMaterials Science: 2.08× its world share, 13 worksMaterials ScienceMathematics: 0.26× its world share, 0 worksMathematicsPhysics and Astronomy: 0.82× its world share, 3 worksPhysics and AstronomyDentistry: 0.19× its world share, 0 worksDentistryHealth Professions: 0.27× its world share, 1 worksHealth ProfessionsMedicine: 0.22× its world share, 8 worksMedicineNursing: 0.20× its world share, 0 worksNursingBusiness, Management and Accounting: 0.42× its world share, 2 worksBusiness, Management…Decision Sciences: 1.01× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.43× its world share, 2 worksEconomics, Econometr…Psychology: 0.09× its world share, 0 worksPsychologySocial Sciences: 0.11× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 3.2×. Every wedge is a field page.

Who are the top researchers at Dahua Technology (China)?

Ranked on the composite score, Jun Yin and Miao Cheng lead among researchers whose main affiliation is Dahua Technology (China).

  1. 1 Jun Yin China · #329,174 worldwide 160 citations · 26 works
  2. 2 Miao Cheng China · #954,439 worldwide 69 citations · 18 works
All ranked researchers at Dahua Technology (China)

Which keywords describe research at Dahua Technology (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Neural Networks, Computer Vision, Image Classification, Image Recognition, Machine Learning and Object Detection.

▲ 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 Learning36▲ 5.9×57 topics
  2. Convolutional Neural Networks11▲ 8.6×12 topics
  3. Neural Networks11▲ 4.1×22 topics
  4. Machine Learning10▲ 1.63×38 topics
  5. Remote Sensing6▲ 2.7×17 topics
  6. Internet of Things5▲ 3.4×14 topics
  7. Computer Vision5▲ 9.7×3 topics
  8. Nanocomposites5▲ 3.2×14 topics
  9. Image Classification4▲ 14×2 topics
  10. Image Recognition4▲ 18×2 topics
  11. Object Detection4▲ 18×1 topic
  12. Semantic Segmentation4▲ 18×1 topic
  13. Graphene4▲ 3.3×8 topics
  14. Catalysis4▲ 3.3×10 topics
  15. Image Processing4▲ 4.9×9 topics
  16. Convolutional Networks4▲ 15×3 topics
  17. Wireless Communications4▲ 11×4 topics
  18. Unsupervised Learning3▲ 13×3 topics
  19. Wavelet Transform3▲ 7.9×6 topics
  20. Anomaly Detection3▲ 5.3×2 topics
  21. Polymer Composites3▲ 5.8×4 topics
  22. Carbon Nanotubes3▲ 4.5×5 topics
  23. Machine Vision3▲ 6.6×4 topics
  24. Visual Tracking3▲ 20×2 topics
  25. Real-time Tracking3▲ 14×2 topics
  26. Time Series3▲ 8.0×2 topics
  27. Sparse Representation2▲ 7.4×5 topics
  28. Object Tracking2▲ 19×1 topic
  29. Person Re-identification2▲ 19×1 topic
  30. Depth Estimation2▲ 15×2 topics
  31. MXenes2▲ 13×2 topics
  32. Outlier Detection2▲ 9.5×1 topic
  33. Pose Estimation2▲ 12×2 topics
  34. Unsupervised2▲ 11×1 topic
  35. Magnetic Nanoparticles2▲ 11×3 topics
  36. Dielectric Properties2▲ 11×2 topics
  37. Representation Learning2▲ 8.0×3 topics
  38. Electrical Conductivity2▲ 36×1 topic
  39. Feature Matching2▲ 18×1 topic
  40. Local Descriptors2▲ 18×1 topic

Which research topics does Dahua Technology (China) publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Video Surveillance and Tracking Methods, Anomaly Detection Techniques and Applications and Electromagnetic wave absorption materials.

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
  2. 2 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
  3. 3 Anomaly Detection Techniques and Applications Artificial Intelligence 2 works
  4. 4 Electromagnetic wave absorption materials Electronic, Optical and Magnetic Materials 2 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 works
  6. 6 Antenna Design and Analysis Aerospace Engineering 2 works
  7. 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
  8. 8 Advanced Antenna and Metasurface Technologies Aerospace Engineering 2 works
  9. 9 Robotics and Sensor-Based Localization Aerospace Engineering 2 works
  10. 10 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 1 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 available28.5%not open71.5%

World: 28% of research is openly available.

with international co-authors11.5%domestic only88.5%

World: 19% is written across borders.

How has Dahua Technology (China)'s research output changed?

Output in 2018–2022 was 292% 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 Hangzhou

All research institutions in Hangzhou

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.