Chung Hua University
In research, Chung Hua University stands highest in Physical Sciences (#8,084 of 10,670 worldwide), 2022-now.
- World rank, 2022-now
- #10,759 of 22,385 · #15,979 all time
- Rank in Taiwan
- #95 of 185
- Research works
- 3.3k ▼ 24% vs 2018-21
- Citations
- 50k 15.0 per fractional work
- Top-10% rate
- 4.6% all institutions 10.0%
- vs its own fields
- 0.89× 1.00× is exactly expected
- Open access
- 20% world 40%
- International
- 10% world 18%
What is Chung Hua University known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #8,084 of 10,670 | 3.9% | 102 | #12711 |
Each strip is that field's whole ranked pool, with the notch where Chung Hua 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Chung Hua University work in?
In 2022-now, 58% of research at Chung Hua University is in Physical Sciences, 28% in Social Sciences. Its largest fields are Engineering (26%), Computer Science (21%), Social Sciences (12%). It does 1.5× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 23 fields, with their numbers
- Physical Sciences10958.3%
- Engineering4926.3%
- Computer Science4021.4%
- Environmental Science52.9%
- Materials Science52.6%
- Mathematics52.5%
- Earth and Planetary Sciences20.8%
- Physics and Astronomy10.7%
- Energy10.5%
- Chemistry10.5%
- Social Sciences5328.2%
- Health Sciences189.9%
- Medicine126.6%
- Health Professions42.2%
- Nursing10.6%
- Veterinary10.5%
- Life Sciences73.6%
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: Veterinary, 4.0×. Every wedge is a field page.
All 23 fields, with their numbers
- Veterinary3.95×1 works
- Decision Sciences3.87×7 works
- Computer Science2.75×40 works
- Mathematics2.12×5 works
- Engineering1.76×49 works
- Economics, Econometrics and Finance1.31×5 works
- Psychology1.30×7 works
- Nursing1.23×1 works
- Business, Management and Accounting1.14×7 works
- Social Sciences0.93×22 works
- Health Professions0.82×4 works
- Arts and Humanities0.79×4 works
- Neuroscience0.76×2 works
- Materials Science0.73×5 works
- Energy0.58×1 works
- Environmental Science0.58×5 works
- Earth and Planetary Sciences0.53×2 works
- Medicine0.35×12 works
- Physics and Astronomy0.33×1 works
- Chemistry0.32×1 works
- Agricultural and Biological Sciences0.28×2 works
- Biochemistry, Genetics and Molecular Biology0.18×2 works
- Immunology and Microbiology0.05×0 works
- Veterinary 4.0×
- Decision Sciences 3.9×
- Computer Science 2.8×
- Mathematics 2.1×
- Engineering 1.8×
- Economics, Econometrics and Finance 1.3×
- Psychology 1.3×
- Nursing 1.2×
- Business, Management and Accounting 1.1×
- Social Sciences 0.9×
- Health Professions 0.8×
- Arts and Humanities 0.8×
- Neuroscience 0.8×
- Materials Science 0.7×
- Energy 0.6×
- Environmental Science 0.6×
- Earth and Planetary Sciences 0.5×
- Medicine 0.3×
- Physics and Astronomy 0.3×
- Chemistry 0.3×
- Agricultural and Biological Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Immunology and Microbiology 0.1×
Who are the top researchers at Chung Hua University?
Ranked on the quality score, Yu‐Cheng Lee, Amy H.I. Lee and Ching‐Hsien Hsu lead among researchers whose main affiliation is Chung Hua University.
- 1
Yu‐Cheng Lee
Taiwan · #419,767 worldwide 3.2k citations · 149 works
- 2
Amy H.I. Lee
Taiwan · #507,880 worldwide 5.7k citations · 120 works
- 3
Ching‐Hsien Hsu
Taiwan · #660,038 worldwide 9.1k citations · 430 works
- 4
Wei‐Jaw Deng
Taiwan · #1,132,954 worldwide 3.2k citations · 27 works
- 5
Chen‐Lung Yang
Taiwan · #1,356,082 worldwide 2.3k citations · 24 works
- 6
Juhn-Horng Chen
Taiwan · #1,392,618 worldwide 907 citations · 18 works
- 7
I‐Cheng Yeh
Taiwan · #1,395,834 worldwide 5.1k citations · 104 works
- 8
Wen‐Chin Chen
Taiwan · #1,464,812 worldwide 3.4k citations · 114 works
- 9
Judy C. R. Tseng
Taiwan · #1,508,836 worldwide 2.3k citations · 95 works
- 10
Shu-Ping Lin
Taiwan · #1,747,439 worldwide 1.4k citations · 38 works
Which keywords describe research at Chung Hua University?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Wireless Sensor Networks, Face Recognition, Convolutional Neural Networks, Support Vector Machines and Wireless Power Transfer.
- Electric Vehicle Charging
- Machine Vision
- Autonomous Vehicles
- Wireless Energy Harvesting
- Information Transfer
- Age Estimation
- RFID Technology
- Sensor Networks
- Customer Satisfaction
- Local Binary Patterns
- Pose Estimation
- Supply Chain Management
- Wireless Power Transfer
- Support Vector Machines
- Face Recognition
- Internet of Things
- Wireless Sensor Networks
- Energy Efficiency
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Educational Technology
- Education
- Social Media
- Online Learning
- Student Engagement
- Smart Factory
- Virtual Reality
- Genetic Algorithm
- Motivation
- Ensemble Methods
- Distance Education
- Text Mining
- Facial Landmark Detection
- Learning Analytics
- Solar Cells
- Student Satisfaction
- Consumer Engagement
Size is fractional works in 2022-now 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 Learning21▲ 3.2×43 topics
- Machine Learning12▲ 1.91×30 topics
- Neural Networks10▲ 3.5×21 topics
- Artificial Intelligence6▲ 2.4×16 topics
- Convolutional Neural Networks6▲ 4.4×10 topics
- Energy Efficiency6▲ 3.3×10 topics
- Educational Technology6▲ 2.5×10 topics
- Wireless Sensor Networks6▲ 6.7×12 topics
- Education5▲ 1.58×10 topics
- Internet of Things5▲ 3.2×11 topics
- Social Media5▲ 1.91×6 topics
- Face Recognition5▲ 22×2 topics
- Online Learning4▲ 2.9×5 topics
- Support Vector Machines4▲ 7.5×4 topics
- Student Engagement4▲ 5.8×5 topics
- Wireless Power Transfer4▲ 25×2 topics
- Smart Factory4▲ 21×3 topics
- Supply Chain Management4▲ 2.5×10 topics
- Virtual Reality4▲ 4.5×7 topics
- Pose Estimation4▲ 18×2 topics
- Genetic Algorithm4▲ 14×6 topics
- Local Binary Patterns3▲ 26×2 topics
- Motivation3▲ 4.2×5 topics
- Customer Satisfaction3▲ 5.1×3 topics
- Ensemble Methods3▲ 21×2 topics
- Sensor Networks3▲ 6.7×2 topics
- Distance Education3▲ 7.8×2 topics
- RFID Technology3▲ 8.8×2 topics
- Text Mining3▲ 11×4 topics
- Age Estimation3▲ 21×1 topic
- Facial Landmark Detection3▲ 33×1 topic
- Information Transfer3▲ 23×1 topic
- Learning Analytics3▲ 12×2 topics
- Wireless Energy Harvesting3▲ 23×1 topic
- Solar Cells3▲ 6.7×4 topics
- Autonomous Vehicles2▲ 6.4×3 topics
- Student Satisfaction2▲ 7.3×2 topics
- Machine Vision2▲ 6.2×4 topics
- Consumer Engagement2▲ 9.6×1 topic
- Electric Vehicle Charging2▲ 14×2 topics
Which research topics does Chung Hua University publish most on?
By volume in 2022-now: Energy Harvesting in Wireless Networks, Face recognition and analysis, Digital Marketing and Social Media and Face and Expression Recognition.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Energy Harvesting in Wireless Networks Electrical and Electronic Engineering 3 works
- 2 Face recognition and analysis Computer Vision and Pattern Recognition 3 works
- 3 Digital Marketing and Social Media Sociology and Political Science 2 works
- 4 Face and Expression Recognition Computer Vision and Pattern Recognition 2 works
- 5 Differential Equations and Numerical Methods Numerical Analysis 2 works
- 6 Online and Blended Learning Education 2 works
- 7 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 2 works
- 8 Augmented Reality Applications Computer Vision and Pattern Recognition 2 works
- 9 Nutrition and Health in Aging Physiology 2 works
- 10 Online Learning and Analytics Computer Science Applications 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: 40% of research is openly available.
World: 18% is written across borders.
How has Chung Hua University's research output changed?
Output in 2022-2025 was 24% lower than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Chung Hua University as a percentage of every work published that year, 0.00066% in 2024.
Fractional works of Chung Hua University over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 13.6% in 2006.
Other research institutions in Hsinchu
- National Yang Ming Chiao Tung University
- National Tsing Hua University
- Industrial Technology Research Institute
- Mackay Memorial Hospital
- National Health Research Institutes
- Taiwan Semiconductor Manufacturing Company (Taiwan)
- National Synchrotron Radiation Research Center
- Minghsin University of Science and Technology
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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