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Company · Shanghai · China

Philips (China)

In research, Philips (China) stands highest in Medicine (#6,953 of 10,443 worldwide) and Health Sciences (#8,794 of 11,982 worldwide), 2022–2025. Relative to its size it is most specialised in Radiology, Nuclear Medicine and Imaging — Radiology, Nuclear Medicine and Imaging is 29.9× its share of world research.

philips.com.cnROR OpenAlex
World rank, 2022–2025
#17,225
of 28,054 · #24,645 all time
Rank in China
#2,644
of 3,058
Research works
491
▲ 50% vs 2013–17
Citations
7.1k
14.5 per fractional work
Top-10% rate
14.9%
record average 16.5%
Open access
42%
world 28%

What is Philips (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
MedicineField #6,953 of 10,443 17.2%122 #9713
Health SciencesDomain #8,794 of 11,982 16.7%125 #12483

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

Where its research is concentrated relative to its size: Radiology, Nuclear Medicine and Imaging takes 29.9× the share of its output that it takes of world research.

  1. Radiology, Nuclear Medicine and ImagingSubfield · 49.3 works30×
← 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: 0.06× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.64× its world share, 6 worksBiochemistry, Geneti…Immunology and Microbiology: 0.19× its world share, 0 worksImmunology and Micro…Neuroscience: 3.03× its world share, 9 worksNeuroscienceChemical Engineering: 0.52× its world share, 0 worksChemical EngineeringChemistry: 0.19× its world share, 0 worksChemistryComputer Science: 0.33× its world share, 5 worksComputer ScienceEngineering: 0.86× its world share, 24 worksEngineeringEnvironmental Science: 0.11× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.98× its world share, 6 worksMaterials ScienceMathematics: 0.08× its world share, 0 worksMathematicsPhysics and Astronomy: 0.81× its world share, 3 worksPhysics and AstronomyDentistry: 3.36× its world share, 3 worksDentistryHealth Professions: 0.04× its world share, 0 worksHealth ProfessionsMedicine: 3.46× its world share, 122 worksMedicineNursing: 0.19× its world share, 0 worksNursingBusiness, Management and Accounting: 0.01× its world share, 0 worksBusiness, Management…Decision Sciences: 0.16× its world share, 0 worksDecision SciencesPsychology: 0.20× its world share, 1 worksPsychologySocial Sciences: 0.01× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Medicine, 3.5×. Every wedge is a field page.

Who are the top researchers at Philips (China)?

Ranked on the composite score, Jiazheng Wang, Queenie Chan and Weibo Chen lead among researchers whose main affiliation is Philips (China).

  1. 1 Jiazheng Wang China · #357,668 worldwide 107 citations · 25 works
  2. 2 Queenie Chan China · #837,316 worldwide 30 citations · 16 works
  3. 3 Weibo Chen China · #958,990 worldwide 21 citations · 17 works
  4. 4 Kai Ai China · #1,259,818 worldwide 20 citations · 20 works
  5. 5 Liangjie Lin China · #1,500,122 worldwide 7 citations · 15 works
All ranked researchers at Philips (China)

Which keywords describe research at Philips (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Magnetic Resonance Imaging, Perfusion Imaging, Medical Imaging, Feature Extraction, Texture Analysis, Precision Medicine, Predictive Modeling 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. Magnetic Resonance Imaging31▲ 65×7 topics
  2. Perfusion Imaging20▲ 153×2 topics
  3. Deep Learning15▲ 2.4×21 topics
  4. Machine Learning15▲ 2.5×11 topics
  5. Medical Imaging13▲ 14×5 topics
  6. Feature Extraction12▲ 15×3 topics
  7. Texture Analysis12▲ 29×2 topics
  8. Precision Medicine12▲ 14×3 topics
  9. Predictive Modeling12▲ 23×2 topics
  10. Quantitative Analysis12▲ 31×2 topics
  11. Radiomics11▲ 53×1 topic
  12. Tumor Heterogeneity11▲ 53×1 topic
  13. Neoadjuvant Chemotherapy11▲ 73×2 topics
  14. Breast MRI11▲ 242×1 topic
  15. Cancer Biomarkers11▲ 71×2 topics
  16. Diffusion-Weighted Imaging11▲ 242×1 topic
  17. Dual-Energy CT11▲ 138×1 topic
  18. Material Differentiation11▲ 138×1 topic
  19. Parallel Imaging9▲ 107×1 topic
  20. Spectroscopy9▲ 30×1 topic
  21. Radiation Exposure8▲ 46×2 topics
  22. Chemotherapy8▲ 6.3×13 topics
  23. Neuroimaging8▲ 15×7 topics
  24. Clinical Practice Guidelines7▲ 7.2×8 topics
  25. Coronary Artery Disease7▲ 34×2 topics
  26. Myocardial Infarction7▲ 16×5 topics
  27. Cardiac Imaging7▲ 30×3 topics
  28. Neurological Disorders6▲ 6.2×8 topics
  29. Computed Tomography Angiography6▲ 48×1 topic
  30. Myocardial Perfusion6▲ 48×1 topic
  31. Immunotherapy6▲ 4.3×10 topics
  32. Molecular Imaging6▲ 35×2 topics
  33. Radiotherapy6▲ 7.8×8 topics
  34. Brain Development5▲ 17×3 topics
  35. Diffusion MRI5▲ 95×1 topic
  36. White Matter5▲ 95×1 topic
  37. Lanthanide Luminescence5▲ 115×1 topic
  38. MRI Contrast Agents5▲ 115×1 topic
  39. Neoadjuvant Therapy5▲ 12×5 topics
  40. Hepatocellular Carcinoma4▲ 11×2 topics

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

By volume in 2022–2025: Radiomics and Machine Learning in Medical Imaging, MRI in cancer diagnosis, Advanced X-ray and CT Imaging and Advanced MRI Techniques and Applications.

Radiomics and Machine Learning in Medical Imaging: 11 fractional worksMRI in cancer diagnosis: 11 fractional worksAdvanced X-ray and CT Im…11Advanced X-ray and CT Imaging: 11 fractional worksAdvanced MRI Techniques …9Advanced MRI Techniques and Applications: 9 fractional worksCardiac Imaging and Diagnostics: 6 fractional worksAdvanced Neuroimaging Techniques and Applications: 5 fractional worksLanthanide and Transitio…5Lanthanide and Transition Metal Complexes: 5 fractional worksCerebrovascular and Carotid Artery Diseases: 3 fractional worksDental Radiography and Imaging: 3 fractional worksHepatocellular Carcinoma Treatment and Prognosis: 3 fractional works
Radiology, Nuclear Medicine and ImagingBiomedical EngineeringMaterials ChemistryPulmonary and Respiratory Medicine2 others

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

  1. 1 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 11 works
  2. 2 MRI in cancer diagnosis Radiology, Nuclear Medicine and Imaging 11 works
  3. 3 Advanced X-ray and CT Imaging Biomedical Engineering 11 works
  4. 4 Advanced MRI Techniques and Applications Radiology, Nuclear Medicine and Imaging 9 works
  5. 5 Cardiac Imaging and Diagnostics Radiology, Nuclear Medicine and Imaging 6 works
  6. 6 Advanced Neuroimaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 5 works
  7. 7 Lanthanide and Transition Metal Complexes Materials Chemistry 5 works
  8. 8 Cerebrovascular and Carotid Artery Diseases Pulmonary and Respiratory Medicine 3 works
  9. 9 Dental Radiography and Imaging Oral Surgery 3 works
  10. 10 Hepatocellular Carcinoma Treatment and Prognosis Hepatology 3 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 available42.2%not open57.8%

World: 28% of research is openly available.

with international co-authors35.5%domestic only64.5%

World: 19% is written across borders.

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

Output in 2018–2022 was 50% higher than in 2013–2017.

200020102020
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 Shanghai

All research institutions in Shanghai

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.