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Company · Beijing · China

Kingsoft (China)

Research works
64
▲ 601% vs 2013–17
Citations
1.3k
19.9 per fractional work
Top-10% rate
8.9%
record average 16.5%
Open access
32%
world 28%

Not ranked overall: Kingsoft (China) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

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: 0.18× its world share, 0 worksAgricultural and Bio…Pharmacology, Toxicology and Pharmaceutics: 0.95× its world share, 0 worksPharmacology, Toxico…Computer Science: 7.67× its world share, 12 worksComputer ScienceEarth and Planetary Sciences: 1.06× its world share, 0 worksEarth and Planetary …Engineering: 1.63× its world share, 5 worksEngineeringEnvironmental Science: 0.25× its world share, 0 worksEnvironmental ScienceMathematics: 1.42× its world share, 0 worksMathematicsPhysics and Astronomy: 2.25× its world share, 1 worksPhysics and AstronomyMedicine: 0.07× its world share, 0 worksMedicineBusiness, Management and Accounting: 0.26× its world share, 0 worksBusiness, Management…Decision Sciences: 0.25× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.16× its world share, 0 worksEconomics, Econometr…Social Sciences: 0.19× its world share, 0 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 7.7×. Every wedge is a field page.

Who are the top researchers at Kingsoft (China)?

Ranked on the composite score, Chi Su lead among researchers whose main affiliation is Kingsoft (China).

  1. 1 Chi Su China · #98,378 worldwide 431 citations · 23 works
All ranked researchers at Kingsoft (China)

Which keywords describe research at Kingsoft (China)?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Information Retrieval, Text Classification, Machine Translation and Word Representation.

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

Size is fractional works in all years 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 Learning20▲ 15×42 topics
  2. Neural Networks12▲ 18×18 topics
  3. Machine Learning9▲ 6.2×21 topics
  4. Convolutional Neural Networks6▲ 23×11 topics
  5. Information Retrieval6▲ 68×3 topics
  6. Text Classification6▲ 98×2 topics
  7. Machine Translation4▲ 61×1 topic
  8. Word Representation4▲ 103×1 topic
  9. Neural Machine Translation3▲ 52×1 topic
  10. Social Media3▲ 5.4×7 topics
  11. Statistical Machine Translation3▲ 52×1 topic
  12. Anomaly Detection3▲ 25×3 topics
  13. Data Mining2▲ 8.4×4 topics
  14. IoT Security2▲ 23×2 topics
  15. Security2▲ 8.7×7 topics
  16. Intrusion Detection2▲ 35×2 topics
  17. Cybersecurity2▲ 23×2 topics
  18. Convolutional Networks2▲ 24×3 topics
  19. DDoS Attacks2▲ 43×1 topic
  20. Feature Selection2▲ 16×2 topics
  21. Network Security2▲ 39×1 topic
  22. Representation Learning2▲ 49×3 topics
  23. Image Processing2▲ 8.1×6 topics
  24. Unsupervised Learning2▲ 27×3 topics
  25. Emotion Recognition2▲ 20×2 topics
  26. Handwriting Recognition2▲ 149×1 topic
  27. Opinion Mining2▲ 105×1 topic
  28. Semi-Supervised Learning2▲ 44×3 topics
  29. Sentiment Analysis2▲ 48×1 topic
  30. Sparse Representation2▲ 13×4 topics
  31. Text Detection2▲ 149×1 topic
  32. Fault Diagnosis2▲ 10×2 topics
  33. Feature Matching2▲ 39×1 topic
  34. Local Descriptors2▲ 39×1 topic
  35. Multi-label Learning2▲ 111×1 topic
  36. Naive Bayes Classifier2▲ 53×1 topic
  37. Pose Estimation2▲ 32×2 topics
  38. Cloud Computing1▲ 7.9×4 topics
  39. Meta-Learning1▲ 57×2 topics
  40. Modeling1▲ 8.7×3 topics

Which research topics does Kingsoft (China) publish most on?

By volume in 2022–2025: Handwritten Text Recognition Techniques, Lattice Boltzmann Simulation Studies, Model Reduction and Neural Networks and Computational Fluid Dynamics and Aerodynamics.

  1. 1 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
  2. 2 Lattice Boltzmann Simulation Studies Computational Mechanics 1 works
  3. 3 Model Reduction and Neural Networks Statistical and Nonlinear Physics 1 works
  4. 4 Computational Fluid Dynamics and Aerodynamics Computational Mechanics 1 works
  5. 5 Natural Language Processing Techniques Artificial Intelligence 1 works
  6. 6 Advanced Data Storage Technologies Computer Networks and Communications 0 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  8. 8 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 0 works
  9. 9 Smart Grid and Power Systems Electrical and Electronic Engineering 0 works
  10. 10 Text and Document Classification Technologies Artificial Intelligence 0 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 available31.7%not open68.3%

World: 28% of research is openly available.

with international co-authors23.3%domestic only76.7%

World: 19% is written across borders.

How has Kingsoft (China)'s research output changed?

Output in 2018–2022 was 601% higher than in 2013–2017.

201020152020
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 Beijing

All research institutions in Beijing

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.