- World rank, 2022–2025
- #14,424 of 28,054 · #7,662 all time
- Rank in China
- #2,361 of 3,058
- Research works
- 851 ▲ 3% vs 2013–17
- Citations
- 33k 38.7 per fractional work
- Top-10% rate
- 21.3% record average 16.5%
- Open access
- 36% world 28%
What is TCL (China) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| MedicineField | #3,672 of 17,978 | 37.0% | 284 | |
| Health SciencesDomain | #4,853 of 20,462 | 37.1% | 300 | |
| Physical SciencesDomain | #5,467 of 21,541 | 22.5% | 391 | |
| EngineeringField | #4,183 of 11,412 | 21.8% | 198 |
Each strip is that field’s whole ranked pool, with the notch where TCL (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).
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: Materials Science, 4.1×. Every wedge is a field page.
- Materials Science 4.1×
- Computer Science 3.4×
- Engineering 1.8×
- Physics and Astronomy 1.7×
- Decision Sciences 1.0×
- Neuroscience 0.9×
- Psychology 0.9×
- Nursing 0.7×
- Medicine 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Health Professions 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Agricultural and Biological Sciences 0.5×
- Immunology and Microbiology 0.4×
- Environmental Science 0.2×
- Social Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Mathematics 0.1×
- Energy 0.1×
- Business, Management and Accounting 0.0×
Which keywords describe research at TCL (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Photovoltaics, Nanocrystals, Solar Cells, Quantum Dots, Bioimaging, Fluorescence Imaging and Semiconductor Nanocrystals.
- Representation Learning
- Organometal Halide Perovskites
- Construction
- Color Constancy
- Noble Metal Nanoclusters
- Wavelet Transform
- Crystal Structure
- Depth Estimation
- Nanowires
- Dehazing
- CZTS
- Solar Cell Efficiency
- Biomedical Applications
- Stability
- Semiconductor
- Convolutional Networks
- Fluorescence Imaging
- Neural Networks
- Solar Cells
- Photovoltaics
- Deep Learning
- Nanocrystals
- Quantum Dots
- Bioimaging
- Semiconductor Nanocrystals
- Efficiency
- Convolutional Neural Networks
- Image Processing
- Unsupervised Learning
- Semiconductors
- Contrast Enhancement
- Thin-Film Solar Cells
- Flexible Electronics
- Stereo Vision
- Sparse Representation
- Atomically Precise
- Academic Medicine
- Colorimetry
- Competency-Based Education
- Professional Identity Formation
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 Learning12▲ 5.3×38 topics
- Photovoltaics8▲ 72×4 topics
- Nanocrystals7▲ 39×3 topics
- Solar Cells7▲ 49×5 topics
- Quantum Dots6▲ 92×2 topics
- Neural Networks6▲ 5.3×16 topics
- Bioimaging5▲ 34×2 topics
- Fluorescence Imaging5▲ 50×1 topic
- Semiconductor Nanocrystals5▲ 70×1 topic
- Convolutional Networks3▲ 34×3 topics
- Efficiency3▲ 16×3 topics
- Semiconductor3▲ 14×4 topics
- Convolutional Neural Networks3▲ 5.3×9 topics
- Stability3▲ 17×3 topics
- Image Processing2▲ 8.3×4 topics
- Biomedical Applications2▲ 3.0×8 topics
- Unsupervised Learning2▲ 25×3 topics
- Solar Cell Efficiency2▲ 31×2 topics
- Semiconductors2▲ 10×2 topics
- CZTS2▲ 51×1 topic
- Contrast Enhancement2▲ 78×1 topic
- Dehazing2▲ 78×1 topic
- Thin-Film Solar Cells2▲ 51×1 topic
- Nanowires2▲ 18×2 topics
- Flexible Electronics2▲ 14×2 topics
- Depth Estimation2▲ 28×1 topic
- Stereo Vision2▲ 47×1 topic
- Crystal Structure2▲ 15×2 topics
- Sparse Representation2▲ 12×2 topics
- Wavelet Transform2▲ 9.4×4 topics
- Atomically Precise1▲ 64×1 topic
- Noble Metal Nanoclusters1▲ 64×1 topic
- Academic Medicine1▲ 23×3 topics
- Color Constancy1▲ 163×1 topic
- Colorimetry1▲ 163×1 topic
- Construction1▲ 13×2 topics
- Competency-Based Education1▲ 19×1 topic
- Organometal Halide Perovskites1▲ 15×1 topic
- Professional Identity Formation1▲ 27×1 topic
- Representation Learning1▲ 13×3 topics
Which research topics does TCL (China) publish most on?
By volume in 2022–2025: Quantum Dots Synthesis And Properties, Image Enhancement Techniques, Chalcogenide Semiconductor Thin Films and Advanced Vision and Imaging.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Quantum Dots Synthesis And Properties Materials Chemistry 5 works
- 2 Image Enhancement Techniques Computer Vision and Pattern Recognition 2 works
- 3 Chalcogenide Semiconductor Thin Films Electrical and Electronic Engineering 2 works
- 4 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
- 5 Nanocluster Synthesis and Applications Materials Chemistry 1 works
- 6 Color Science and Applications Atomic and Molecular Physics, and Optics 1 works
- 7 Perovskite Materials and Applications Electrical and Electronic Engineering 1 works
- 8 Innovations in Medical Education Public Health, Environmental and Occupational Health 1 works
- 9 Thin-Film Transistor Technologies Electrical and Electronic Engineering 1 works
- 10 Image and Video Quality Assessment Computer Vision and Pattern Recognition 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has TCL (China)'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 Huizhou
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.