LG (South Korea)
In research, LG (South Korea) stands highest in Computer Science (#2,345 of 4,667 worldwide), Physical Sciences (#7,742 of 12,888 worldwide) and Engineering (#4,006 of 6,636 worldwide), 2022–2025.
- World rank, 2022–2025
- #13,309 of 28,054 · #6,210 all time
- Rank in South Korea
- #240 of 417
- Research works
- 2.1k ▼ 11% vs 2013–17
- Citations
- 36k 16.9 per fractional work
- Top-10% rate
- 12.6% record average 16.5%
- Open access
- 12% world 28%
What is LG (South Korea) 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #2,345 of 4,667 | 13.5% | 65 | #1974 | |
| Physical SciencesDomain | #7,742 of 12,888 | 12.8% | 171 | #3915 | |
| EngineeringField | #4,006 of 6,636 | 13.4% | 81 | #2136 |
Each strip is that field’s whole ranked pool, with the notch where LG (South Korea) 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.
- Computer Science#1,974 #2,345
- Physical Sciences#3,915 #7,742
- Engineering#2,136 #4,006
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
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: Computer Science, 3.9×. Every wedge is a field page.
- Computer Science 3.9×
- Chemical Engineering 3.2×
- Engineering 2.5×
- Physics and Astronomy 1.4×
- Materials Science 1.3×
- Pharmacology, Toxicology and Pharmaceutics 1.3×
- Decision Sciences 1.3×
- Neuroscience 1.0×
- Chemistry 0.7×
- Dentistry 0.7×
- Business, Management and Accounting 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Energy 0.5×
- Medicine 0.4×
- Immunology and Microbiology 0.3×
- Psychology 0.3×
- Nursing 0.3×
- Agricultural and Biological Sciences 0.3×
- Earth and Planetary Sciences 0.3×
- Health Professions 0.2×
- Environmental Science 0.2×
- Economics, Econometrics and Finance 0.1×
- Arts and Humanities 0.1×
- Social Sciences 0.1×
- Mathematics 0.1×
Who are the top researchers at LG (South Korea)?
Ranked on the composite score, Jong‐Uk Bu, Jin-Yong Kim and B. Oh lead among researchers whose main affiliation is LG (South Korea).
- 1 Jong‐Uk Bu South Korea · #779,094 worldwide 68 citations · 18 works
- 2 Jin-Yong Kim South Korea · #1,102,206 worldwide 8 citations · 15 works
- 3 B. Oh South Korea · #1,148,528 worldwide 33 citations · 15 works
- 4 Byoung‐Hoon Kim South Korea · #1,229,227 worldwide 32 citations · 33 works
- 5 Jin-Yong Kim South Korea · #1,245,664 worldwide 12 citations · 15 works
- 6 Jin South Korea · #1,415,428 worldwide 10 citations · 45 works
- 7 Jeong Soo Lee South Korea · #1,587,659 worldwide 22 citations · 16 works
Which keywords describe research at LG (South Korea)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Flexible Electronics, Machine Vision, Solar Cells, Cathode Materials, Spectral Imaging and Convolutional Neural Networks.
- Neural Machine Translation
- Phosphorescent Materials
- Organic Light-Emitting Diodes
- Channel Estimation
- Transition Metal Complexes
- Topic Modeling
- Semiconductor Manufacturing
- Fabric Defect Detection
- Deep Neural Networks
- Plasmonics
- Classification
- Meta-Learning
- Lithium-ion Batteries
- Colorimetry
- Spectral Imaging
- Image Processing
- Cathode Materials
- Flexible Electronics
- Energy Efficiency
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Machine Vision
- Big Data
- Solar Cells
- Color Constancy
- Representation Learning
- Unsupervised Learning
- Texture Analysis
- Information Retrieval
- Thin-Film Transistors
- Text Classification
- Semi-Supervised Learning
- MIMO Systems
- Machine Translation
- Word Representation
- Wireless Communications
- Parallel Computing
- Wireless Networks
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 Learning27▲ 3.6×53 topics
- Neural Networks21▲ 6.4×26 topics
- Machine Learning10▲ 1.49×34 topics
- Energy Efficiency6▲ 3.2×11 topics
- Convolutional Neural Networks6▲ 3.9×11 topics
- Flexible Electronics6▲ 16×3 topics
- Machine Vision6▲ 12×5 topics
- Cathode Materials5▲ 6.1×3 topics
- Big Data5▲ 2.4×12 topics
- Image Processing5▲ 4.8×8 topics
- Solar Cells5▲ 10×4 topics
- Spectral Imaging4▲ 38×2 topics
- Color Constancy4▲ 169×1 topic
- Colorimetry4▲ 169×1 topic
- Representation Learning4▲ 14×3 topics
- Lithium-ion Batteries4▲ 4.3×3 topics
- Unsupervised Learning4▲ 13×3 topics
- Meta-Learning4▲ 22×2 topics
- Texture Analysis4▲ 7.6×3 topics
- Classification4▲ 3.7×7 topics
- Information Retrieval4▲ 7.9×3 topics
- Plasmonics4▲ 31×1 topic
- Thin-Film Transistors4▲ 82×1 topic
- Deep Neural Networks4▲ 15×3 topics
- Text Classification4▲ 10×2 topics
- Fabric Defect Detection3▲ 19×1 topic
- Semi-Supervised Learning3▲ 13×2 topics
- Semiconductor Manufacturing3▲ 19×1 topic
- MIMO Systems3▲ 18×3 topics
- Topic Modeling3▲ 9.9×2 topics
- Machine Translation3▲ 8.4×1 topic
- Transition Metal Complexes3▲ 16×2 topics
- Word Representation3▲ 12×1 topic
- Channel Estimation3▲ 16×4 topics
- Wireless Communications3▲ 7.6×4 topics
- Organic Light-Emitting Diodes3▲ 51×1 topic
- Parallel Computing3▲ 11×3 topics
- Phosphorescent Materials3▲ 51×1 topic
- Wireless Networks3▲ 8.2×6 topics
- Neural Machine Translation2▲ 12×1 topic
Which research topics does LG (South Korea) publish most on?
By volume in 2022–2025: Color Science and Applications, Thin-Film Transistor Technologies, Industrial Vision Systems and Defect Detection and Topic Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Color Science and Applications Atomic and Molecular Physics, and Optics 4 works
- 2 Thin-Film Transistor Technologies Electrical and Electronic Engineering 4 works
- 3 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 3 works
- 4 Topic Modeling Artificial Intelligence 3 works
- 5 Organic Light-Emitting Diodes Research Electrical and Electronic Engineering 3 works
- 6 Natural Language Processing Techniques Artificial Intelligence 2 works
- 7 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 2 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 9 Advancements in Battery Materials Electrical and Electronic Engineering 2 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 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 LG (South Korea)'s research output changed?
Output in 2018–2022 was 11% lower 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.