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Company · Beijing · China

Automation Research and Design Institute of Metallurgical Industry (China)

In research, Automation Research and Design Institute of Metallurgical Industry (China) stands highest in Engineering (#9,739 of 11,412 worldwide) and Physical Sciences (#19,169 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Engineering — Engineering is 4.9× its share of world research.

World rank, 2022–2025
#26,716
of 28,054 · #37,012 all time
Rank in China
#3,048
of 3,058
Research works
382
▼ 30% vs 2013–17
Citations
2k
5.2 per fractional work
Top-10% rate
10.9%
record average 16.5%
Open access
7%
world 28%

What is Automation Research and Design Institute of Metallurgical Industry (China) known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
EngineeringField #9,739 of 11,412 5.4%277
Physical SciencesDomain #19,169 of 21,541 5.5%365

Each strip is that field’s whole ranked pool, with the notch where Automation Research and Design Institute of Metallurgical Industry (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 Automation Research and Design Institute of Metallurgical Industry (China) specialise in?

Where its research is concentrated relative to its size: Engineering takes 4.9× the share of its output that it takes of world research.

  1. EngineeringField · 46.0 works4.9×
← 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: 0.14× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.05× its world share, 0 worksBiochemistry, Geneti…Chemical Engineering: 0.77× its world share, 0 worksChemical EngineeringChemistry: 0.59× its world share, 1 worksChemistryComputer Science: 1.49× its world share, 7 worksComputer ScienceEarth and Planetary Sciences: 0.26× its world share, 0 worksEarth and Planetary …Energy: 1.77× its world share, 1 worksEnergyEngineering: 4.93× its world share, 46 worksEngineeringEnvironmental Science: 0.45× its world share, 1 worksEnvironmental ScienceMaterials Science: 1.35× its world share, 3 worksMaterials SciencePhysics and Astronomy: 0.06× its world share, 0 worksPhysics and AstronomyHealth Professions: 0.07× its world share, 0 worksHealth ProfessionsMedicine: 0.03× its world share, 0 worksMedicineBusiness, Management and Accounting: 0.25× its world share, 0 worksBusiness, Management…Decision Sciences: 1.39× its world share, 1 worksDecision SciencesSocial Sciences: 0.03× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Engineering, 4.9×. Every wedge is a field page.

Who are the top researchers at Automation Research and Design Institute of Metallurgical Industry (China)?

Ranked on the composite score, Jinxiang Chen, Chongjian Li and Chengsheng Wang lead among researchers whose main affiliation is Automation Research and Design Institute of Metallurgical Industry (China).

  1. 1 Jinxiang Chen China · #1,170,734 worldwide 13 citations · 17 works
  2. 2 Chongjian Li China · #1,293,420 worldwide 12 citations · 27 works
  3. 3 Chengsheng Wang China · #1,398,660 worldwide 27 citations · 30 works
All ranked researchers at Automation Research and Design Institute of Metallurgical Industry (China)

Which keywords describe research at Automation Research and Design Institute of Metallurgical Industry (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Machine Learning, Deep Learning, Artificial Neural Networks, Microstructural Evolution, Dynamic Recrystallization, Hot Deformation and Adaptive Control.

▲ 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. Machine Learning7▲ 3.4×8 topics
  2. Deep Learning7▲ 3.2×16 topics
  3. Neural Networks6▲ 6.4×14 topics
  4. Artificial Neural Networks4▲ 14×3 topics
  5. Microstructural Evolution4▲ 43×2 topics
  6. Dynamic Recrystallization4▲ 150×1 topic
  7. Hot Deformation4▲ 150×1 topic
  8. Internet of Things4▲ 6.6×3 topics
  9. Adaptive Control4▲ 42×3 topics
  10. Fault Diagnosis3▲ 36×4 topics
  11. Genetic Algorithm3▲ 37×3 topics
  12. Energy Efficiency3▲ 5.3×7 topics
  13. Fault Detection3▲ 34×1 topic
  14. Process Monitoring3▲ 50×1 topic
  15. Thermal Analysis3▲ 37×2 topics
  16. Vibration Analysis3▲ 17×3 topics
  17. Power Electronics3▲ 13×5 topics
  18. Metallurgy3▲ 71×2 topics
  19. Parameter Estimation3▲ 34×2 topics
  20. Robotics3▲ 17×3 topics
  21. Electric Motor Drives2▲ 97×1 topic
  22. Induction Motors2▲ 83×1 topic
  23. Permanent Magnet Machines2▲ 97×1 topic
  24. Remote Sensing2▲ 3.1×3 topics
  25. Sensorless Control2▲ 145×1 topic
  26. Renewable Energy Integration2▲ 11×4 topics
  27. Control Systems2▲ 19×5 topics
  28. Metal Recovery2▲ 17×3 topics
  29. Wireless Sensor Networks2▲ 8.0×2 topics
  30. PID Control2▲ 104×1 topic
  31. Support Vector Machines2▲ 10×1 topic
  32. Model Predictive Control2▲ 12×3 topics
  33. Machine Vision2▲ 13×4 topics
  34. Texture Analysis2▲ 12×3 topics
  35. Databases2▲ 93×1 topic
  36. Thermochemical2▲ 93×1 topic
  37. Active Magnetic Bearings2▲ 93×1 topic
  38. Magnetic Levitation2▲ 93×1 topic
  39. Magnetic Materials2▲ 87×1 topic
  40. Magnetostriction2▲ 87×1 topic

Which research topics does Automation Research and Design Institute of Metallurgical Industry (China) publish most on?

By volume in 2022–2025: Metallurgy and Material Forming, Fault Detection and Control Systems, Sensorless Control of Electric Motors and Electric Motor Design and Analysis.

  1. 1 Metallurgy and Material Forming Mechanics of Materials 4 works
  2. 2 Fault Detection and Control Systems Control and Systems Engineering 3 works
  3. 3 Sensorless Control of Electric Motors Electrical and Electronic Engineering 2 works
  4. 4 Electric Motor Design and Analysis Electrical and Electronic Engineering 2 works
  5. 5 Advanced Algorithms and Applications Control and Systems Engineering 2 works
  6. 6 Metallurgical Processes and Thermodynamics Mechanical Engineering 2 works
  7. 7 Magnetic Bearings and Levitation Dynamics Control and Systems Engineering 2 works
  8. 8 Mineral Processing and Grinding Mechanical Engineering 2 works
  9. 9 Magnetic Properties and Applications Electronic, Optical and Magnetic Materials 2 works
  10. 10 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 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 available7.4%not open92.6%

World: 28% of research is openly available.

with international co-authors3.8%domestic only96.2%

World: 19% is written across borders.

How has Automation Research and Design Institute of Metallurgical Industry (China)'s research output changed?

Output in 2018–2022 was 30% lower 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 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.