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Company · Beijing · China

NetEase (China)

In research, NetEase (China) stands highest in Computer Science (#2,148 of 4,667 worldwide) and Physical Sciences (#9,716 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 18.5× its share of world research.

World rank, 2022–2025
#16,388
of 28,054 · #26,074 all time
Rank in China
#2,566
of 3,058
Research works
303
▲ 415% vs 2013–17
Citations
4.5k
14.8 per fractional work
Top-10% rate
24.3%
record average 16.5%
Open access
34%
world 28%

What is NetEase (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
Computer ScienceField #2,148 of 4,667 22.7%116 #2635
Physical SciencesDomain #9,716 of 12,888 22.6%136 #14834

Each strip is that field’s whole ranked pool, with the notch where NetEase (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 NetEase (China) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 18.5× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 37.0 works18×
  2. Artificial IntelligenceSubfield · 46.9 works12×
  3. Computer ScienceField · 115.9 works9.4×
← 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: 0.04× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.09× its world share, 1 worksBiochemistry, Geneti…Immunology and Microbiology: 0.03× its world share, 0 worksImmunology and Micro…Neuroscience: 0.99× its world share, 3 worksNeuroscienceChemistry: 0.10× its world share, 0 worksChemistryComputer Science: 9.40× its world share, 116 worksComputer ScienceEarth and Planetary Sciences: 0.23× its world share, 1 worksEarth and Planetary …Engineering: 0.72× its world share, 17 worksEngineeringEnvironmental Science: 0.05× its world share, 0 worksEnvironmental ScienceMaterials Science: 0.01× its world share, 0 worksMaterials ScienceMathematics: 0.28× its world share, 0 worksMathematicsPhysics and Astronomy: 0.32× its world share, 1 worksPhysics and AstronomyDentistry: 0.09× its world share, 0 worksDentistryHealth Professions: 0.14× its world share, 1 worksHealth ProfessionsMedicine: 0.07× its world share, 2 worksMedicineNursing: 0.09× its world share, 0 worksNursingArts and Humanities: 0.10× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.29× its world share, 2 worksBusiness, Management…Decision Sciences: 0.99× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.51× its world share, 2 worksEconomics, Econometr…Psychology: 1.50× its world share, 7 worksPsychologySocial Sciences: 0.18× its world share, 4 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 9.4×. Every wedge is a field page.

Who are the top researchers at NetEase (China)?

Ranked on the composite score, Runze Wu, Changjie Fan and Yingfeng Chen lead among researchers whose main affiliation is NetEase (China).

  1. 1 Runze Wu China · #361,222 worldwide 140 citations · 23 works
  2. 2 Changjie Fan China · #638,363 worldwide 157 citations · 61 works
  3. 3 Yingfeng Chen China · #859,387 worldwide 55 citations · 18 works
  4. 4 Lincheng Li China · #1,418,404 worldwide 25 citations · 18 works
  5. 5 Zhipeng Hu China · #1,510,732 worldwide 20 citations · 15 works
All ranked researchers at NetEase (China)

Which keywords describe research at NetEase (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Pose Estimation, Deep Neural Networks, Feature Extraction, Corpus Linguistics and Convolutional Networks.

▲ 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 Learning69▲ 13×45 topics
  2. Neural Networks38▲ 15×18 topics
  3. Convolutional Neural Networks21▲ 18×11 topics
  4. Machine Learning13▲ 2.6×27 topics
  5. Deep Neural Networks10▲ 56×3 topics
  6. Pose Estimation10▲ 54×2 topics
  7. Feature Extraction9▲ 13×5 topics
  8. Corpus Linguistics8▲ 25×2 topics
  9. Convolutional Networks8▲ 38×3 topics
  10. Information Retrieval8▲ 24×3 topics
  11. Neural Machine Translation8▲ 54×1 topic
  12. Statistical Machine Translation8▲ 54×1 topic
  13. Unsupervised Learning8▲ 36×3 topics
  14. Acoustic Modeling8▲ 132×1 topic
  15. Speaker Verification8▲ 132×1 topic
  16. Text Classification8▲ 31×2 topics
  17. Representation Learning8▲ 35×3 topics
  18. Topic Modeling8▲ 32×2 topics
  19. Machine Translation7▲ 28×1 topic
  20. Word Representation7▲ 38×1 topic
  21. Face Recognition6▲ 32×2 topics
  22. Audio Signal Classification6▲ 89×1 topic
  23. Music Information Retrieval6▲ 89×1 topic
  24. Audio-Visual Speech Recognition5▲ 63×1 topic
  25. Speech Enhancement5▲ 63×1 topic
  26. Human-Computer Interaction5▲ 19×5 topics
  27. Collaborative Filtering5▲ 89×1 topic
  28. Matrix Factorization5▲ 89×1 topic
  29. Action Recognition5▲ 63×1 topic
  30. Age Estimation5▲ 48×2 topics
  31. Spatiotemporal Features5▲ 63×1 topic
  32. Virtual Reality5▲ 6.1×3 topics
  33. 3D Face Reconstruction5▲ 73×1 topic
  34. Facial Landmark Detection5▲ 73×1 topic
  35. Anomaly Detection5▲ 10×3 topics
  36. Generative Adversarial Networks5▲ 36×2 topics
  37. Image Captioning5▲ 60×1 topic
  38. Semi-Supervised Learning5▲ 26×3 topics
  39. Visual Question Answering5▲ 37×1 topic
  40. Reinforcement Learning4▲ 25×4 topics

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

By volume in 2022–2025: Natural Language Processing Techniques, Speech Recognition and Synthesis, Topic Modeling and Music and Audio Processing.

  1. 1 Natural Language Processing Techniques Artificial Intelligence 8 works
  2. 2 Speech Recognition and Synthesis Artificial Intelligence 8 works
  3. 3 Topic Modeling Artificial Intelligence 7 works
  4. 4 Music and Audio Processing Signal Processing 6 works
  5. 5 Speech and Audio Processing Signal Processing 5 works
  6. 6 Recommender Systems and Techniques Information Systems 5 works
  7. 7 Human Pose and Action Recognition Computer Vision and Pattern Recognition 5 works
  8. 8 Face recognition and analysis Computer Vision and Pattern Recognition 5 works
  9. 9 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
  10. 10 Generative Adversarial Networks and Image Synthesis 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 available34.4%not open65.6%

World: 28% of research is openly available.

with international co-authors22.0%domestic only78.0%

World: 19% is written across borders.

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

Output in 2018–2022 was 415% higher than in 2013–2017.

199520002005201020152020
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.