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University · Shanghai · China

Shanghai University of Engineering Science

In research, Shanghai University of Engineering Science stands highest in Physical Sciences (#344 of 12,888 worldwide), Engineering (#203 of 6,636 worldwide) and Materials Science (#172 of 2,468 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Automotive Engineering and Polymers and Plastics — Computer Vision and Pattern Recognition is 5.6× its share of world research.

World rank, 2022–2025
#598
of 28,054 · #1,908 all time
Rank in China
#191
of 3,058
Research works
16k
▲ 59% vs 2013–17
Citations
138k
8.7 per fractional work
Top-10% rate
18.2%
record average 16.5%
Open access
29%
world 28%

What is Shanghai University of Engineering Science 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
Physical SciencesDomain #344 of 12,888 17.4%4,228 #1334
EngineeringField #203 of 6,636 16.7%2,059 #830
Materials ScienceField #172 of 2,468 16.2%529 #846
Computer ScienceField #340 of 4,667 18.0%998 #660
Mechanical EngineeringSubfield #100 of 1,351 14.7%386 #433
Computer Vision and Pattern RecognitionSubfield #78 of 941 16.8%354 #348
Electrical and Electronic EngineeringSubfield #239 of 2,318 18.0%369 #836
Materials ChemistrySubfield #176 of 1,556 17.0%266 #758
Biomedical EngineeringSubfield #232 of 1,568 16.8%239 #881
Social SciencesDomain #1,557 of 10,521 23.1%413 #3274

Each strip is that field’s whole ranked pool, with the notch where Shanghai University of Engineering Science 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).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Physical Sciences#1,334 #344
  2. Engineering#830 #203
  3. Materials Science#846 #172
  4. Computer Science#660 #340
  5. Mechanical Engineering#433 #100
  6. Computer Vision and Pattern Recognition#348 #78
  7. Electrical and Electronic Engineering#836 #239
  8. Materials Chemistry#758 #176
  9. Biomedical Engineering#881 #232
  10. Social Sciences#3,274 #1,557
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Shanghai University of Engineering Science specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 5.6× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 354.2 works5.6×
  2. Automotive EngineeringSubfield · 137.3 works5.1×
  3. Polymers and PlasticsSubfield · 94.4 works4.7×
  4. Surfaces, Coatings and FilmsSubfield · 22.8 works4.6×
  5. Mechanical EngineeringSubfield · 385.8 works4.2×
← 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: 0.09× its world share, 22 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.38× its world share, 100 worksBiochemistry, Geneti…Immunology and Microbiology: 0.05× its world share, 3 worksImmunology and Micro…Neuroscience: 0.52× its world share, 42 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.45× its world share, 8 worksPharmacology, Toxico…Chemical Engineering: 2.55× its world share, 45 worksChemical EngineeringChemistry: 1.84× its world share, 145 worksChemistryComputer Science: 2.57× its world share, 998 worksComputer ScienceEarth and Planetary Sciences: 0.52× its world share, 40 worksEarth and Planetary …Energy: 1.69× its world share, 78 worksEnergyEngineering: 2.74× its world share, 2,059 worksEngineeringEnvironmental Science: 0.66× its world share, 164 worksEnvironmental ScienceMaterials Science: 3.03× its world share, 529 worksMaterials ScienceMathematics: 0.64× its world share, 38 worksMathematicsPhysics and Astronomy: 1.19× its world share, 132 worksPhysics and AstronomyDentistry: 0.09× its world share, 2 worksDentistryHealth Professions: 0.23× its world share, 30 worksHealth ProfessionsMedicine: 0.16× its world share, 152 worksMedicineNursing: 0.09× its world share, 2 worksNursingVeterinary: 0.01× its world share, 0 worksVeterinaryArts and Humanities: 0.13× its world share, 19 worksArts and HumanitiesBusiness, Management and Accounting: 0.58× its world share, 94 worksBusiness, Management…Decision Sciences: 1.40× its world share, 68 worksDecision SciencesEconomics, Econometrics and Finance: 0.41× its world share, 44 worksEconomics, Econometr…Psychology: 0.33× its world share, 50 worksPsychologySocial Sciences: 0.22× its world share, 139 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Materials Science, 3.0×. Every wedge is a field page.

Who are the top researchers at Shanghai University of Engineering Science?

Ranked on the composite score, Honghao Gao, Hao Wang and Hengyun Zhang lead among researchers whose main affiliation is Shanghai University of Engineering Science.

  1. 1 Honghao Gao China · #118,094 worldwide 429 citations · 86 works
  2. 2 Hao Wang China · #184,595 worldwide 232 citations · 34 works
  3. 3 Hengyun Zhang China · #209,263 worldwide 307 citations · 48 works
  4. 4 Wei An China · #209,735 worldwide 353 citations · 66 works
  5. 5 Xijian Liu China · #213,802 worldwide 255 citations · 27 works
  6. 6 Jian Mao China · #300,912 worldwide 90 citations · 32 works
  7. 7 Li Zhao China · #309,663 worldwide 70 citations · 31 works
  8. 8 Jinguo Wang China · #322,419 worldwide 368 citations · 46 works
  9. 9 Jing Zheng China · #384,385 worldwide 117 citations · 26 works
  10. 10 Zhishui Yu China · #400,407 worldwide 229 citations · 37 works
All ranked researchers at Shanghai University of Engineering Science

Which keywords describe research at Shanghai University of Engineering Science?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Mechanical Properties, Machine Learning, Microstructure, Convolutional Neural Networks, Energy Storage and Nanocomposites.

▲ 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 Learning684▲ 4.0×83 topics
  2. Neural Networks359▲ 4.7×37 topics
  3. Machine Learning290▲ 1.77×83 topics
  4. Mechanical Properties222▲ 4.6×38 topics
  5. Biomedical Applications176▲ 3.0×35 topics
  6. Convolutional Neural Networks157▲ 4.3×14 topics
  7. Nanocomposites154▲ 3.8×22 topics
  8. Microstructure153▲ 5.9×19 topics
  9. Energy Storage148▲ 4.5×12 topics
  10. Nanomaterials144▲ 2.7×19 topics
  11. Graphene135▲ 4.0×12 topics
  12. Cathode Materials109▲ 5.5×3 topics
  13. Lithium-ion Batteries96▲ 4.5×4 topics
  14. Heat Transfer82▲ 3.3×20 topics
  15. Metal-Organic Frameworks82▲ 3.9×6 topics
  16. Autonomous Vehicles79▲ 7.5×4 topics
  17. Rechargeable Batteries75▲ 5.6×2 topics
  18. Additive Manufacturing75▲ 4.8×8 topics
  19. Computer Vision74▲ 5.4×4 topics
  20. Image Processing73▲ 3.3×12 topics
  21. Polymer Composites72▲ 5.4×7 topics
  22. Collision Avoidance70▲ 7.7×4 topics
  23. Multi-Agent Systems69▲ 7.3×6 topics
  24. Representation Learning66▲ 9.5×3 topics
  25. Electric Vehicles64▲ 4.3×4 topics
  26. Machine Vision62▲ 5.5×6 topics
  27. Information Retrieval62▲ 5.7×4 topics
  28. Image Classification60▲ 7.0×3 topics
  29. Text Classification58▲ 7.4×3 topics
  30. Semi-Supervised Learning58▲ 10×3 topics
  31. Energy Harvesting54▲ 6.0×3 topics
  32. Unsupervised Learning54▲ 7.6×3 topics
  33. Image Recognition54▲ 8.1×2 topics
  34. Flexible Electronics53▲ 6.2×3 topics
  35. Object Detection53▲ 8.3×1 topic
  36. Semantic Segmentation53▲ 8.3×1 topic
  37. Surface Roughness50▲ 7.4×4 topics
  38. Material Characterization50▲ 8.3×3 topics
  39. Path Planning49▲ 7.6×3 topics
  40. Graph Convolutional Networks48▲ 8.7×2 topics

Which research topics does Shanghai University of Engineering Science publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Advancements in Battery Materials, Advanced Sensor and Energy Harvesting Materials and Topic Modeling.

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 53 works
  2. 2 Advancements in Battery Materials Electrical and Electronic Engineering 51 works
  3. 3 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 49 works
  4. 4 Topic Modeling Artificial Intelligence 48 works
  5. 5 Advanced Battery Technologies Research Automotive Engineering 38 works
  6. 6 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 37 works
  7. 7 Additive Manufacturing Materials and Processes Mechanical Engineering 36 works
  8. 8 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 35 works
  9. 9 Supercapacitor Materials and Fabrication Electronic, Optical and Magnetic Materials 34 works
  10. 10 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 34 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 available29.1%not open70.9%

World: 28% of research is openly available.

with international co-authors8.3%domestic only91.7%

World: 19% is written across borders.

How has Shanghai University of Engineering Science's research output changed?

Output in 2018–2022 was 59% higher 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 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.