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Researcher · Hong Kong University of Science and Technology · China

Shengyong Mo

Shengyong Mo publishes mostly in Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, on topics such as Advanced Control Systems Optimization, Iterative Learning Control Systems and Injection Molding Process and Properties.

OpenAlex
World rank
#1,094,724
of 7,710,434 ranked researchers
Rank in China
#156,207
of 978,568
Works
20
Citations
465
Citations per work
23.3
h-index
10
i10-index 10Top 40% in Control and Systems Engineering
Shengyong Mo

What does Shengyong Mo research?

Shengyong Mo's work is mostly in Engineering (93%), Materials Science (6%).

Physical Sciences: 20 works · 98.3% of their workEngineering: 19 works · 92.7% of their workControl and Systems Engineering: 12 works · 59.3% of their workMechanical Engineering: 6 works · 27.8% of their workIndustrial and Manufacturing Engineering: 1 works · 3.7% of their workAutomotive Engineering: 0 works · 1.9% of their workMaterials Science: 1 works · 5.6% of their workMaterials Chemistry: 1 works · 3.7% of their workPolymers and Plastics: 0 works · 1.9% of their workTHEIR WORKShengyong Mo20works
Physical Sciences98%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering1992.7%
    2. Materials Science15.6%
  1. 1Control and Systems Engineering59% of their works
  2. 2Mechanical Engineering28% of their works
  3. 3Industrial and Manufacturing Engineering4% of their works
  4. 4Materials Chemistry4% of their works
  5. 5Polymers and Plastics2% of their works
  6. 6Automotive Engineering2% of their works

Research topics

Which keywords describe Shengyong Mo's research?

The keywords of their largest research topics: Nonlinear Systems, Optimization, Data-Driven Control, Model Predictive Control, Robust Control, Iterative Learning Control, Repetitive Control and Injection Molding.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Nonlinear Systems222 topics
  2. Optimization192 topics
  3. Data-Driven Control122 topics
  4. Model Predictive Control121 topic
  5. Robust Control121 topic
  6. Iterative Learning Control101 topic
  7. Repetitive Control101 topic
  8. Injection Molding71 topic
  9. Process Parameters71 topic
  10. Fault Detection41 topic
  11. Hysteresis Compensation41 topic
  12. Nanopositioning41 topic
  13. Process Monitoring41 topic
  14. Assembly Planning21 topic
  15. Design for Manufacture21 topic
  16. Machining21 topic
  17. Parameter Estimation21 topic
  18. Surface Integrity21 topic
  19. System Identification21 topic

Where does Shengyong Mo work?

Shengyong Mo's main affiliation in the publication record is Hong Kong University of Science and Technology, China.

How many publications and citations does Shengyong Mo have?

OpenAlex counts 20 works and 465 citations for Shengyong Mo, an h-index of 10, ranking #1,094,724 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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