Feng Chia University
In research, Feng Chia University stands highest in Engineering (#1,663 of 6,636 worldwide), Physical Sciences (#3,376 of 12,888 worldwide) and Social Sciences (#3,388 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Polymers and Plastics — Computer Vision and Pattern Recognition is 6.2× its share of world research.
- World rank, 2022–2025
- #5,024 of 28,054 · #2,528 all time
- Rank in Taiwan
- #50 of 221
- Research works
- 12k ▼ 15% vs 2013–17
- Citations
- 166k 13.4 per fractional work
- Top-10% rate
- 15.1% record average 16.5%
- Open access
- 18% world 28%
What is Feng Chia University 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 |
|---|---|---|---|---|---|
| EngineeringField | #1,663 of 6,636 | 11.8% | 498 | #526 | |
| Physical SciencesDomain | #3,376 of 12,888 | 12.2% | 1,092 | #1673 | |
| Social SciencesDomain | #3,388 of 10,521 | 26.4% | 299 | #2400 | |
| Computer ScienceField | #1,983 of 4,667 | 15.1% | 260 | #1154 | |
| Electrical and Electronic EngineeringSubfield | #1,074 of 2,318 | 10.1% | 173 | #508 | |
| Economics, Econometrics and FinanceField | #944 of 1,775 | 33.8% | 78 | #1034 | |
| Business, Management and AccountingField | #1,484 of 2,578 | 23.2% | 91 | #1218 | |
| Social SciencesField | #4,250 of 6,365 | 28.7% | 64 | #3015 | |
| Computer Vision and Pattern RecognitionSubfield | #677 of 941 | 12.2% | 120 | #628 | |
| Environmental ScienceField | #2,642 of 3,551 | 18.9% | 75 | #1487 |
Each strip is that field’s whole ranked pool, with the notch where Feng Chia University 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.
- Engineering#526 #1,663
- Physical Sciences#1,673 #3,376
- Social Sciences#2,400 #3,388
- Computer Science#1,154 #1,983
- Electrical and Electronic Engineering#508 #1,074
- Economics, Econometrics and Finance#1,034 #944
- Business, Management and Accounting#1,218 #1,484
- Social Sciences#3,015 #4,250
- Computer Vision and Pattern Recognition#628 #677
- Environmental Science#1,487 #2,642
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Feng Chia University specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 6.2× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 119.6 works6.2×
- Industrial and Manufacturing EngineeringSubfield · 37.9 works4.8×
- Polymers and PlasticsSubfield · 26.2 works4.3×
- Renewable Energy, Sustainability and the EnvironmentSubfield · 41.0 works3.5×
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: Energy, 3.1×. Every wedge is a field page.
- Energy 3.1×
- Chemical Engineering 2.5×
- Economics, Econometrics and Finance 2.4×
- Materials Science 2.4×
- Computer Science 2.2×
- Engineering 2.2×
- Decision Sciences 2.2×
- Business, Management and Accounting 1.9×
- Environmental Science 1.0×
- Physics and Astronomy 0.9×
- Dentistry 0.8×
- Chemistry 0.8×
- Mathematics 0.8×
- Earth and Planetary Sciences 0.5×
- Neuroscience 0.5×
- Psychology 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Arts and Humanities 0.4×
- Social Sciences 0.3×
- Health Professions 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Agricultural and Biological Sciences 0.2×
- Medicine 0.2×
- Nursing 0.2×
- Immunology and Microbiology 0.1×
Who are the top researchers at Feng Chia University?
Ranked on the composite score, Chow‐Yen‐Desmond Sim, Chiu‐Yue Lin and Chyi–How Lay lead among researchers whose main affiliation is Feng Chia University.
- 1 Chow‐Yen‐Desmond Sim Taiwan · #62,844 worldwide 461 citations · 72 works
- 2 Chiu‐Yue Lin Taiwan · #73,303 worldwide 340 citations · 46 works
- 3 Chyi–How Lay Taiwan · #163,775 worldwide 260 citations · 24 works
- 4 Chin‐Chia Wu Taiwan · #187,691 worldwide 226 citations · 46 works
- 5 Lien‐Wu Chen Taiwan · #227,935 worldwide 38 citations · 24 works
- 6 Kun‐Huang Huarng Taiwan · #246,257 worldwide 247 citations · 22 works
- 7 Chia‐Chen Lin Taiwan · #247,843 worldwide 234 citations · 57 works
- 8 Sze‐Teng Liong Taiwan · #253,346 worldwide 136 citations · 23 works
- 9 Xing Zhang Taiwan · #273,225 worldwide 72 citations · 23 works
- 10 Chen‐Yeon Chu Taiwan · #290,155 worldwide 231 citations · 28 works
Which keywords describe research at Feng Chia University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Nanomaterials, Nanostructures, Neural Networks, Machine Learning, Graphene, Security Analysis and Semiconductors.
- Microstrip
- Electromigration
- Metamaterial
- Plasmonic
- Solar Cells
- Image Encryption
- Machine Vision
- Solar Energy
- Efficiency
- Reversible Data Embedding
- Visible Light
- Nanocrystals
- Semiconductor
- Internet of Things
- Nanocomposites
- Energy Efficiency
- Nanoparticles
- Graphene
- Nanomaterials
- Machine Learning
- Deep Learning
- Neural Networks
- Nanostructures
- Biomedical Applications
- Convolutional Neural Networks
- Economic Growth
- Water Splitting
- Semiconductors
- Security Analysis
- Hydrogen Production
- Cryptanalysis
- Steganography
- CO2 Reduction
- Wireless Communications
- Chaos
- Nanowires
- Photocatalyst
- Monetary Policy
- Antenna
- High-Temperature Electronics
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 Learning184▲ 3.5×75 topics
- Machine Learning74▲ 1.49×75 topics
- Neural Networks60▲ 2.5×34 topics
- Nanomaterials55▲ 3.4×15 topics
- Nanostructures39▲ 6.4×12 topics
- Graphene38▲ 3.7×11 topics
- Biomedical Applications37▲ 2.1×27 topics
- Nanoparticles36▲ 1.88×28 topics
- Convolutional Neural Networks35▲ 3.1×13 topics
- Energy Efficiency34▲ 2.4×25 topics
- Economic Growth31▲ 2.4×18 topics
- Nanocomposites29▲ 2.3×18 topics
- Water Splitting28▲ 5.0×3 topics
- Internet of Things28▲ 2.1×18 topics
- Semiconductors28▲ 6.0×4 topics
- Semiconductor27▲ 5.1×6 topics
- Security Analysis26▲ 10×4 topics
- Nanocrystals25▲ 5.9×5 topics
- Hydrogen Production24▲ 5.9×5 topics
- Visible Light23▲ 6.6×3 topics
- Cryptanalysis23▲ 18×3 topics
- Reversible Data Embedding20▲ 48×1 topic
- Steganography20▲ 48×1 topic
- Efficiency20▲ 4.3×6 topics
- CO2 Reduction19▲ 5.8×2 topics
- Solar Energy19▲ 4.0×5 topics
- Wireless Communications19▲ 7.2×5 topics
- Machine Vision19▲ 5.6×6 topics
- Chaos19▲ 17×1 topic
- Image Encryption19▲ 31×1 topic
- Nanowires18▲ 8.4×5 topics
- Solar Cells18▲ 5.9×7 topics
- Photocatalyst18▲ 6.6×1 topic
- Plasmonic18▲ 6.6×1 topic
- Monetary Policy18▲ 4.8×7 topics
- Metamaterial14▲ 10×2 topics
- Antenna14▲ 11×1 topic
- Electromigration14▲ 34×2 topics
- High-Temperature Electronics14▲ 15×2 topics
- Microstrip14▲ 11×1 topic
Which research topics does Feng Chia University publish most on?
By volume in 2022–2025: Advanced Steganography and Watermarking Techniques, Chaos-based Image/Signal Encryption, Advanced Photocatalysis Techniques and Antenna Design and Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Steganography and Watermarking Techniques Computer Vision and Pattern Recognition 20 works
- 2 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 19 works
- 3 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 18 works
- 4 Antenna Design and Analysis Aerospace Engineering 14 works
- 5 Digital Media Forensic Detection Computer Vision and Pattern Recognition 12 works
- 6 Gas Sensing Nanomaterials and Sensors Electrical and Electronic Engineering 11 works
- 7 Electronic Packaging and Soldering Technologies Electrical and Electronic Engineering 10 works
- 8 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 10 works
- 9 Conducting polymers and applications Polymers and Plastics 10 works
- 10 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 10 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 Feng Chia University's research output changed?
Output in 2018–2022 was 15% 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 Taichung
- National Chung Hsing University
- China Medical University
- China Medical University Hospital
- Asia University
- Chaoyang University of Technology
- Tunghai University
- Chung Shan Medical University
- Taichung Veterans General Hospital
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.