Science Explorer Interactive view Map
Company · Beijing · China

InferVision (China)

World rank, 2022–2025
#20,546
of 28,054 · #33,388 all time
Rank in China
#2,888
of 3,058
Research works
164
▲ 1112% vs 2013–17
Citations
3.1k
18.7 per fractional work
Top-10% rate
21.7%
record average 16.5%
Open access
47%
world 28%

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: 0.12× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.23× its world share, 1 worksBiochemistry, Geneti…Immunology and Microbiology: 0.33× its world share, 0 worksImmunology and Micro…Neuroscience: 0.57× its world share, 1 worksNeuroscienceChemistry: 0.11× its world share, 0 worksChemistryComputer Science: 2.76× its world share, 21 worksComputer ScienceEarth and Planetary Sciences: 1.05× its world share, 2 worksEarth and Planetary …Engineering: 1.36× its world share, 20 worksEngineeringEnvironmental Science: 0.57× its world share, 3 worksEnvironmental ScienceMaterials Science: 0.33× its world share, 1 worksMaterials ScienceMathematics: 0.14× its world share, 0 worksMathematicsPhysics and Astronomy: 0.48× its world share, 1 worksPhysics and AstronomyDentistry: 0.23× its world share, 0 worksDentistryHealth Professions: 0.35× its world share, 1 worksHealth ProfessionsMedicine: 2.13× its world share, 41 worksMedicineBusiness, Management and Accounting: 0.84× its world share, 3 worksBusiness, Management…Decision Sciences: 0.35× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.04× its world share, 0 worksEconomics, Econometr…Psychology: 0.25× its world share, 1 worksPsychologySocial Sciences: 0.17× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 2.8×. Every wedge is a field page.

Which keywords describe research at InferVision (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Medical Imaging, Machine Learning, Feature Extraction, Convolutional Neural Networks, Texture Analysis, Precision Medicine and Quantitative Analysis.

▲ 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 Learning21▲ 6.2×44 topics
  2. Machine Learning13▲ 3.9×24 topics
  3. Medical Imaging10▲ 19×5 topics
  4. Feature Extraction8▲ 18×6 topics
  5. Convolutional Neural Networks8▲ 11×10 topics
  6. Texture Analysis8▲ 33×3 topics
  7. Precision Medicine6▲ 14×2 topics
  8. Quantitative Analysis6▲ 30×1 topic
  9. Radiomics6▲ 51×1 topic
  10. Chemotherapy5▲ 7.8×10 topics
  11. Neural Networks5▲ 3.1×15 topics
  12. Adjuvant Therapy4▲ 33×2 topics
  13. Artificial Intelligence4▲ 3.0×5 topics
  14. Medical Image Analysis4▲ 21×3 topics
  15. Radiotherapy4▲ 9.4×3 topics
  16. Remote Sensing4▲ 2.9×9 topics
  17. Lung Cancer3▲ 20×2 topics
  18. Diabetic Retinopathy3▲ 33×2 topics
  19. Macular Degeneration3▲ 27×2 topics
  20. Tumor Staging3▲ 30×2 topics
  21. Big Data3▲ 3.5×6 topics
  22. CT Screening3▲ 48×1 topic
  23. Glaucoma3▲ 22×2 topics
  24. Optic Nerve3▲ 33×2 topics
  25. Positron Emission Tomography3▲ 48×1 topic
  26. Transfer Learning3▲ 17×3 topics
  27. Clinical Practice Guidelines3▲ 5.5×9 topics
  28. Image Analysis3▲ 32×2 topics
  29. Anomaly Detection3▲ 9.9×5 topics
  30. Dual-Energy CT3▲ 65×1 topic
  31. Material Differentiation3▲ 65×1 topic
  32. Terrestrial Laser Scanning2▲ 20×2 topics
  33. Chest X-Ray2▲ 34×1 topic
  34. Pneumonia Detection2▲ 34×1 topic
  35. Cardiovascular Risk2▲ 7.5×2 topics
  36. Retinal Disease2▲ 46×1 topic
  37. Vessel Segmentation2▲ 49×1 topic
  38. Computer-Aided Detection2▲ 24×1 topic
  39. Histopathology Images2▲ 24×1 topic
  40. Magnetic Resonance Imaging2▲ 8.0×4 topics

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

By volume in 2022–2025: Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Advanced X-ray and CT Imaging and COVID-19 diagnosis using AI.

  1. 1 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 6 works
  2. 2 Lung Cancer Diagnosis and Treatment Pulmonary and Respiratory Medicine 3 works
  3. 3 Advanced X-ray and CT Imaging Biomedical Engineering 3 works
  4. 4 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 2 works
  5. 5 Retinal Imaging and Analysis Radiology, Nuclear Medicine and Imaging 2 works
  6. 6 AI in cancer detection Artificial Intelligence 2 works
  7. 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
  8. 8 Medical Imaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 2 works
  9. 9 Remote Sensing and LiDAR Applications Environmental Engineering 1 works
  10. 10 Big Data and Business Intelligence Management Information Systems 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 available46.9%not open53.1%

World: 28% of research is openly available.

with international co-authors19.6%domestic only80.4%

World: 19% is written across borders.

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

Output in 2018–2022 was 1112% 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 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.