Seoul National University of Science and Technology
In research, Seoul National University of Science and Technology stands highest in Physical Sciences (#1,429 of 12,888 worldwide), Computer Science (#527 of 4,667 worldwide) and Engineering (#779 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Automotive Engineering and Electrical and Electronic Engineering — Hardware and Architecture is 6.9× its share of world research.
- World rank, 2022–2025
- #2,126 of 28,054 · #2,318 all time
- Rank in South Korea
- #45 of 417
- Research works
- 9.4k ▲ 3% vs 2013–17
- Citations
- 140k 14.8 per fractional work
- Top-10% rate
- 18.9% record average 16.5%
- Open access
- 39% world 28%
What is Seoul National University of Science and Technology known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #1,429 of 12,888 | 17.0% | 2,233 | #1703 | |
| Computer ScienceField | #527 of 4,667 | 19.8% | 461 | #834 | |
| EngineeringField | #779 of 6,636 | 15.6% | 1,135 | #825 | |
| Electrical and Electronic EngineeringSubfield | #520 of 2,318 | 12.8% | 399 | #649 | |
| Social SciencesDomain | #3,141 of 10,521 | 32.8% | 221 | #2855 | |
| Health SciencesDomain | #4,409 of 11,982 | 20.3% | 175 | #7399 | |
| Materials ScienceField | #965 of 2,468 | 15.8% | 229 | #1796 | |
| Environmental ScienceField | #1,425 of 3,551 | 21.8% | 171 | #2212 | |
| MedicineField | #4,365 of 10,443 | 18.5% | 132 | #8342 | |
| Computer Vision and Pattern RecognitionSubfield | #421 of 941 | 16.2% | 134 | #788 |
Each strip is that field’s whole ranked pool, with the notch where Seoul National University of Science and Technology 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.
- Physical Sciences#1,703 #1,429
- Computer Science#834 #527
- Engineering#825 #779
- Electrical and Electronic Engineering#649 #520
- Social Sciences#2,855 #3,141
- Health Sciences#7,399 #4,409
- Materials Science#1,796 #965
- Environmental Science#2,212 #1,425
- Medicine#8,342 #4,365
- Computer Vision and Pattern Recognition#788 #421
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Seoul National University of Science and Technology specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 6.9× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 22.0 works6.9×
- Automotive EngineeringSubfield · 63.1 works4.2×
- Electrical and Electronic EngineeringSubfield · 398.8 works4.0×
- Computer Vision and Pattern RecognitionSubfield · 133.6 works3.8×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Chemical Engineering, 3.4×. Every wedge is a field page.
- Chemical Engineering 3.4×
- Engineering 2.7×
- Materials Science 2.3×
- Computer Science 2.1×
- Energy 1.9×
- Chemistry 1.4×
- Environmental Science 1.2×
- Decision Sciences 1.1×
- Neuroscience 0.9×
- Physics and Astronomy 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.7×
- Economics, Econometrics and Finance 0.7×
- Earth and Planetary Sciences 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Agricultural and Biological Sciences 0.4×
- Veterinary 0.4×
- Health Professions 0.4×
- Business, Management and Accounting 0.4×
- Nursing 0.4×
- Psychology 0.4×
- Dentistry 0.3×
- Mathematics 0.3×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Social Sciences 0.2×
- Arts and Humanities 0.1×
Who are the top researchers at Seoul National University of Science and Technology?
Ranked on the composite score, Jong Hyuk Park, Bonsang Koo and Hyun Kim lead among researchers whose main affiliation is Seoul National University of Science and Technology.
- 1 Jong Hyuk Park South Korea · #63,936 worldwide 590 citations · 120 works
- 2 Bonsang Koo South Korea · #65,104 worldwide 174 citations · 32 works
- 3 Hyun Kim South Korea · #109,807 worldwide 238 citations · 47 works
- 4 Sangmook Kim South Korea · #152,988 worldwide 244 citations · 29 works
- 5 Jung-Yup Kim South Korea · #159,569 worldwide 136 citations · 42 works
- 6 Byungchan Kim South Korea · #168,181 worldwide 197 citations · 26 works
- 7 Sung‐Hoon Choa South Korea · #247,535 worldwide 134 citations · 40 works
- 8 Byoungchul Hwang South Korea · #293,933 worldwide 156 citations · 41 works
- 9 Youngjung Geum South Korea · #298,067 worldwide 140 citations · 19 works
- 10 Sewan Choi South Korea · #317,693 worldwide 180 citations · 38 works
Which keywords describe research at Seoul National University of Science and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Energy Storage, Nanomaterials, Thermal Management, Machine Learning, Convolutional Neural Networks and Graphene.
- Electrochemical Capacitors
- Semantic Segmentation
- Image Recognition
- Memristor
- Wearable
- Thin Films
- High-Temperature Electronics
- Metal Oxides
- Health Monitoring
- Neuromorphic Computing
- Flexible Electronics
- Electric Vehicles
- Metal-Organic Frameworks
- Cathode Materials
- Power Electronics
- Graphene
- Convolutional Neural Networks
- Nanoparticles
- Nanomaterials
- Machine Learning
- Deep Learning
- Neural Networks
- Energy Storage
- Energy Efficiency
- Mechanical Properties
- Thermal Management
- Nanocomposites
- Renewable Energy Integration
- Lithium-ion Batteries
- Rechargeable Batteries
- Model Predictive Control
- Computer Vision
- Energy Harvesting
- Electromigration
- Autonomous Vehicles
- Nanogenerators
- Non-Volatile Memory
- Resistive Switching
- Object Detection
- Carbon-Based Materials
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
- Deep Learning259▲ 2.7×77 topics
- Machine Learning132▲ 1.43×72 topics
- Neural Networks130▲ 3.0×31 topics
- Nanomaterials91▲ 3.0×17 topics
- Energy Storage84▲ 4.5×12 topics
- Nanoparticles82▲ 2.3×38 topics
- Energy Efficiency72▲ 2.7×30 topics
- Convolutional Neural Networks72▲ 3.5×14 topics
- Mechanical Properties71▲ 2.6×34 topics
- Graphene70▲ 3.6×11 topics
- Thermal Management61▲ 6.4×7 topics
- Power Electronics55▲ 5.8×7 topics
- Nanocomposites52▲ 2.3×21 topics
- Cathode Materials49▲ 4.4×3 topics
- Renewable Energy Integration48▲ 5.1×5 topics
- Metal-Organic Frameworks46▲ 3.9×6 topics
- Lithium-ion Batteries44▲ 3.7×3 topics
- Electric Vehicles41▲ 4.9×4 topics
- Rechargeable Batteries40▲ 5.2×2 topics
- Flexible Electronics39▲ 8.1×3 topics
- Model Predictive Control38▲ 5.2×6 topics
- Neuromorphic Computing37▲ 11×2 topics
- Computer Vision36▲ 4.7×4 topics
- Health Monitoring36▲ 6.2×3 topics
- Energy Harvesting34▲ 6.5×3 topics
- Metal Oxides32▲ 9.0×2 topics
- Electromigration31▲ 40×2 topics
- High-Temperature Electronics31▲ 18×2 topics
- Autonomous Vehicles31▲ 5.2×4 topics
- Thin Films30▲ 5.5×9 topics
- Nanogenerators29▲ 7.8×1 topic
- Wearable29▲ 7.8×1 topic
- Non-Volatile Memory29▲ 10×2 topics
- Memristor28▲ 12×1 topic
- Resistive Switching28▲ 12×1 topic
- Image Recognition27▲ 7.1×2 topics
- Object Detection27▲ 7.4×1 topic
- Semantic Segmentation27▲ 7.4×1 topic
- Carbon-Based Materials25▲ 8.3×1 topic
- Electrochemical Capacitors25▲ 8.3×1 topic
Which research topics does Seoul National University of Science and Technology publish most on?
By volume in 2022–2025: Advanced Sensor and Energy Harvesting Materials, Advanced Memory and Neural Computing, Advanced Neural Network Applications and Supercapacitor Materials and Fabrication.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 29 works
- 2 Advanced Memory and Neural Computing Electrical and Electronic Engineering 28 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 27 works
- 4 Supercapacitor Materials and Fabrication Electronic, Optical and Magnetic Materials 25 works
- 5 Advanced Battery Technologies Research Automotive Engineering 22 works
- 6 3D IC and TSV technologies Electrical and Electronic Engineering 21 works
- 7 Electronic Packaging and Soldering Technologies Electrical and Electronic Engineering 21 works
- 8 Advanced battery technologies research Electrical and Electronic Engineering 20 works
- 9 Advancements in Battery Materials Electrical and Electronic Engineering 20 works
- 10 Semiconductor materials and devices Electrical and Electronic Engineering 17 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Seoul National University of Science and Technology's research output changed?
Output in 2018–2022 was 3% higher than in 2013–2017.
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 Seoul
- Seoul National University
- Yonsei University
- Korea University
- Sungkyunkwan University
- Hanyang University
- Kyung Hee University
- Chung-Ang University
- Samsung (South Korea)
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.