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Company · Hong Kong · China

Group Sense (China)

In research, Group Sense (China) stands highest in Computer Science (#402 of 4,667 worldwide), Computer Vision and Pattern Recognition (#178 of 941 worldwide) and Physical Sciences (#3,392 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 27.3× its share of world research.

gsl.com.hkROR OpenAlex
World rank, 2022–2025
#5,507
of 28,054 · #8,774 all time
Rank in China
#1,184
of 3,058
Research works
461
▲ 341% vs 2013–17
Citations
36k
77.5 per fractional work
Top-10% rate
35.5%
record average 16.5%
Open access
34%
world 28%

What is Group Sense (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 #402 of 4,667 42.2%106 #851
Computer Vision and Pattern RecognitionSubfield #178 of 941 44.7%70 #221
Physical SciencesDomain #3,392 of 12,888 39.9%149 #5868

Each strip is that field’s whole ranked pool, with the notch where Group Sense (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).

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. Computer Science#851 #402
  2. Computer Vision and Pattern Recognition#221 #178
  3. Physical Sciences#5,868 #3,392
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 Group Sense (China) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 27.3× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 70.2 works27×
  2. Computer ScienceField · 105.8 works6.7×
← 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: 0.13× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.20× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.08× its world share, 0 worksImmunology and Micro…Neuroscience: 0.87× its world share, 3 worksNeuroscienceChemical Engineering: 0.12× its world share, 0 worksChemical EngineeringChemistry: 0.13× its world share, 0 worksChemistryComputer Science: 6.68× its world share, 106 worksComputer ScienceEarth and Planetary Sciences: 0.75× its world share, 2 worksEarth and Planetary …Energy: 0.04× its world share, 0 worksEnergyEngineering: 1.12× its world share, 34 worksEngineeringEnvironmental Science: 0.24× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.10× its world share, 1 worksMaterials ScienceMathematics: 0.16× its world share, 0 worksMathematicsPhysics and Astronomy: 0.53× its world share, 2 worksPhysics and AstronomyDentistry: 0.08× its world share, 0 worksDentistryHealth Professions: 0.48× its world share, 3 worksHealth ProfessionsMedicine: 0.31× its world share, 12 worksMedicineArts and Humanities: 0.49× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.82× its world share, 5 worksBusiness, Management…Decision Sciences: 2.58× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 3.08× its world share, 13 worksEconomics, Econometr…Psychology: 0.54× its world share, 3 worksPsychologySocial Sciences: 0.14× its world share, 4 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.7×. Every wedge is a field page.

Who are the top researchers at Group Sense (China)?

Ranked on the composite score, Rui Zhao, Junjie Yan and Zhe Wang lead among researchers whose main affiliation is Group Sense (China).

  1. 1 Rui Zhao China · #18,103 worldwide 1.4k citations · 40 works
  2. 2 Junjie Yan China · #25,948 worldwide 1.2k citations · 86 works
  3. 3 Zhe Wang China · #54,100 worldwide 847 citations · 28 works
  4. 4 Jimmy Ren China · #68,861 worldwide 506 citations · 40 works
  5. 5 Wayne Zhang China · #89,411 worldwide 435 citations · 36 works
  6. 6 Wenxiu Sun China · #91,001 worldwide 317 citations · 47 works
  7. 7 Xiangyu Xu China · #103,238 worldwide 649 citations · 22 works
  8. 8 Xinjiang Wang China · #146,557 worldwide 225 citations · 30 works
  9. 9 Jiawei Zhang China · #153,995 worldwide 350 citations · 29 works
  10. 10 Qiong Yan China · #165,171 worldwide 240 citations · 26 works
All ranked researchers at Group Sense (China)

Which keywords describe research at Group Sense (China)?

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

▲ 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 Learning86▲ 12×63 topics
  2. Neural Networks30▲ 9.4×24 topics
  3. Convolutional Neural Networks26▲ 18×14 topics
  4. Unsupervised Learning16▲ 55×3 topics
  5. Convolutional Networks15▲ 53×3 topics
  6. Computer Vision12▲ 22×3 topics
  7. Image Classification12▲ 34×2 topics
  8. Image Recognition12▲ 43×1 topic
  9. Object Detection12▲ 45×1 topic
  10. Machine Learning11▲ 1.59×34 topics
  11. Representation Learning11▲ 38×3 topics
  12. Pose Estimation10▲ 42×3 topics
  13. Generative Adversarial Networks8▲ 47×2 topics
  14. Transfer Learning8▲ 20×3 topics
  15. Sparse Representation7▲ 18×5 topics
  16. Feature Extraction7▲ 7.5×8 topics
  17. Medical Imaging7▲ 6.7×7 topics
  18. Meta-Learning7▲ 42×2 topics
  19. Depth Estimation7▲ 39×2 topics
  20. Object Recognition7▲ 44×2 topics
  21. Semi-Supervised Learning7▲ 30×3 topics
  22. Feature Matching6▲ 52×1 topic
  23. Local Descriptors6▲ 52×1 topic
  24. Domain Adaptation6▲ 61×1 topic
  25. Few-Shot Learning6▲ 61×1 topic
  26. Image Segmentation6▲ 22×3 topics
  27. Optical Flow6▲ 56×1 topic
  28. Stereo Vision6▲ 56×1 topic
  29. 3D Reconstruction6▲ 30×2 topics
  30. Point Clouds6▲ 30×2 topics
  31. Action Recognition5▲ 54×1 topic
  32. Spatiotemporal Features5▲ 54×1 topic
  33. Face Recognition5▲ 23×2 topics
  34. Image Processing5▲ 5.8×8 topics
  35. Image Captioning5▲ 47×1 topic
  36. Visual Question Answering5▲ 29×1 topic
  37. Age Estimation4▲ 31×1 topic
  38. Facial Landmark Detection4▲ 49×1 topic
  39. Mesh Segmentation4▲ 70×1 topic
  40. Shape Representation4▲ 70×1 topic

Which research topics does Group Sense (China) publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning and Advanced Vision and Imaging.

Advanced Neural Network …12Advanced Neural Network Applications: 12 fractional worksAdvanced Image and Video Retrieval Techniques: 6 fractional worksDomain Adaptation and Fe…6Domain Adaptation and Few-Shot Learning: 6 fractional worksAdvanced Vision and Imag…6Advanced Vision and Imaging: 6 fractional worksHuman Pose and Action Recognition: 5 fractional worksMultimodal Machine Learning Applications: 5 fractional worksFace recognition and ana…4Face recognition and analysis: 4 fractional works3D Shape Modeling and Analysis: 4 fractional worksVideo Surveillance and Tracking Methods: 4 fractional worksGenerative Adversarial N…4Generative Adversarial Networks and Image Synthesis: 4 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Mechanics

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

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 12 works
  2. 2 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 6 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 6 works
  4. 4 Advanced Vision and Imaging Computer Vision and Pattern Recognition 6 works
  5. 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 5 works
  6. 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
  7. 7 Face recognition and analysis Computer Vision and Pattern Recognition 4 works
  8. 8 3D Shape Modeling and Analysis Computational Mechanics 4 works
  9. 9 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 4 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 available34.1%not open65.9%

World: 28% of research is openly available.

with international co-authors51.7%domestic only48.3%

World: 19% is written across borders.

How has Group Sense (China)'s research output changed?

Output in 2018–2022 was 341% higher than in 2013–2017.

1990200020102020
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 Hong Kong

All research institutions in Hong Kong

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.