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Company · Hong Kong · China

M-Gen Mobile Technology (China)

Research works
21
fractional, all time
Citations
731
34.3 per fractional work
Top-10% rate
13.9%
record average 16.5%
Open access
29%
world 28%

Not ranked overall: M-Gen Mobile Technology (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.

Computer Science: 5.01× its world share, 2 worksComputer ScienceEngineering: 1.55× its world share, 1 worksEngineeringPhysics and Astronomy: 0.83× its world share, 0 worksPhysics and AstronomyMedicine: 1.27× its world share, 2 worksMedicineBusiness, Management and Accounting: 0.58× its world share, 0 worksBusiness, Management…Psychology: 0.91× its world share, 0 worksPsychologySocial Sciences: 0.55× its world share, 0 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 5.0×. Every wedge is a field page.

Which keywords describe research at M-Gen Mobile Technology (China)?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Catalysis, Hydrogenation, Metal Complexes, Organic Synthesis, Organometallic Chemistry, Convolutional Neural Networks and Clinical Practice Guidelines.

▲ 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 15 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 15 words, with their numbers
  1. Deep Learning3▲ 7.5×24 topics
  2. Catalysis2▲ 9.5×3 topics
  3. Hydrogenation1▲ 33×2 topics
  4. Metal Complexes1▲ 37×3 topics
  5. Neural Networks1▲ 5.2×7 topics
  6. Organic Synthesis1▲ 26×3 topics
  7. Organometallic Chemistry1▲ 37×3 topics
  8. Convolutional Neural Networks1▲ 12×6 topics
  9. Inflammation1▲ 2.2×4 topics
  10. Machine Learning1▲ 2.4×10 topics
  11. Clinical Practice Guidelines1▲ 8.4×2 topics
  12. Cycloaddition Reactions1▲ 108×2 topics
  13. Heterocyclic Compounds1▲ 30×2 topics
  14. Synthesis1▲ 8.0×2 topics
  15. Transition Metal Complexes1▲ 42×2 topics

Which research topics does M-Gen Mobile Technology (China) publish most on?

By volume in 2022–2025: Electrical and Bioimpedance Tomography, Body Composition Measurement Techniques, Topic Modeling and Hemodynamic Monitoring and Therapy.

  1. 1 Electrical and Bioimpedance Tomography Electrical and Electronic Engineering 1 works
  2. 2 Body Composition Measurement Techniques Physiology 1 works
  3. 3 Topic Modeling Artificial Intelligence 0 works
  4. 4 Hemodynamic Monitoring and Therapy Surgery 0 works
  5. 5 Recommender Systems and Techniques Information Systems 0 works
  6. 6 Text and Document Classification Technologies Artificial Intelligence 0 works
  7. 7 Dialysis and Renal Disease Management Nephrology 0 works
  8. 8 Speech Recognition and Synthesis Artificial Intelligence 0 works
  9. 9 Linguistic, Cultural, and Literary Studies Sociology and Political Science 0 works
  10. 10 Legal and Regulatory Analysis Transportation 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 available28.8%not open71.2%

World: 28% of research is openly available.

with international co-authors48.3%domestic only51.7%

World: 19% is written across borders.

How has M-Gen Mobile Technology (China)'s research output changed?

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.