ShanghaiTech University vs Virginia Tech
On research quality in 2022-now, ShanghaiTech University ranks #251 in the world and Virginia Tech #252, of 22,385 institutions. ShanghaiTech University stands higher in 8 of the 17 fields both publish in, Virginia Tech in 9.
Research profiles alike: 0.06different shapes of research, whatever their size. How it is measured
Compare other institutions
ShanghaiTech University
- World rank, 2022-now
- #251
- #172 all time
- Works, 2022-now
- 4.3k
- fractional
- Top-10% rate
- 14.3%
- share of its work among the world's most cited
- Open access
- 39%
- of its works free to read
Strongest relative focus: Structural Biology, Condensed Matter Physics, Catalysis.
Virginia Tech
- World rank, 2022-now
- #252
- #203 all time
- Works, 2022-now
- 13k
- fractional
- Top-10% rate
- 11.4%
- share of its work among the world's most cited
- Open access
- 28%
- of its works free to read
Strongest relative focus: Architecture, Equine, Software.
Who leads, measure by measure?
ShanghaiTech University leads on 6 of 8 measures: research quality, citation excellence for its fields, top-10% rate, open access, international co-authorship and growth. Virginia Tech leads on 2 of 8 measures: output and citations per work.
- #251Research qualityworld rank of 22,385 institutions, 2022-now#252
- 1.46×Citation excellence for its fieldsits top-10% rate against what its topics predict; 1.00× is as expected1.02×
- 4.3kOutputfractional works, 2022-now13k
- 14.3%Top-10% rateshare of its works among the world's most cited11.4%
- 22.2Citations per workall time, per fractional work27.1
- 39%Open accessof its works free to read, all time28%
- 25%Internationalof its works written with co-authors abroad, all time12%
- +79%Growthworks in 2022-25 against 2018-21; half a bar is no change-4%
A rank is drawn as its standing: the longer the bar, the nearer the top. Anything else is drawn against the larger of the two, and two values a hair apart are called level. Quality, citation excellence and the top-10% rate are explained in the methodology.
Who leads in each field?
ShanghaiTech University stands higher in 8 of 17 fields, Virginia Tech in 9. Virginia Tech leads most in Engineering (#127 against #147); ShanghaiTech University leads most in Biochemistry, Genetics and Molecular Biology (#145 against #469). Each bar is that side's standing among all institutions ranked in the field: the full bar is first place.
- -Agricultural and Biological Sciences#140
- #145Biochemistry, Genetics and Molecular Biology#469
- -Business, Management and Accounting#298
- #57Chemistry#146
- #132Computer Science#219
- -Decision Sciences#112
- #141Energy-
- #147Engineering#127
- -Environmental Science#227
- -Health Professions#254
- #136Materials Science#241
- -Mathematics#138
- #375Medicine#467
- #229Neuroscience-
- #164Physics and Astronomy-
- -Psychology#322
- -Social Sciences#332
Standing is the percentile of world rank within each field, 2022-now; the printed number is the rank itself. A dash means the field is too small there to rank. How sides are compared.
The numbers behind each field
Click a heading to sort. The side that does better in a pair of columns is shaded: a lower rank, a higher rate, more works.
| Field | ShanghaiTech University rank | Virginia Tech rank | ShanghaiTech University top 10% | Virginia Tech top 10% | ShanghaiTech University works | Virginia Tech works |
|---|---|---|---|---|---|---|
| Agricultural and Biological Sciences | - | #140 | - | 10.1% | - | 662 |
| Biochemistry, Genetics and Molecular Biology | #145 | #469 | 16.8% | 9.5% | 329 | 618 |
| Business, Management and Accounting | - | #298 | - | 18.1% | - | 254 |
| Chemistry | #57 | #146 | 20.5% | 13.3% | 232 | 133 |
| Computer Science | #132 | #219 | 13.7% | 11.4% | 552 | 1.3k |
| Decision Sciences | - | #112 | - | 13.1% | - | 211 |
| Energy | #141 | - | 13.5% | - | 73 | - |
| Engineering | #147 | #127 | 12.8% | 12.0% | 1.1k | 3k |
| Environmental Science | - | #227 | - | 9.7% | - | 796 |
| Health Professions | - | #254 | - | 13.2% | - | 188 |
| Materials Science | #136 | #241 | 13.4% | 10.1% | 403 | 366 |
| Mathematics | - | #138 | - | 11.1% | - | 158 |
| Medicine | #375 | #467 | 19.3% | 10.9% | 311 | 961 |
| Neuroscience | #229 | - | 14.8% | - | 99 | - |
| Physics and Astronomy | #164 | - | 13.3% | - | 269 | - |
| Psychology | - | #322 | - | 9.6% | - | 465 |
| Social Sciences | - | #332 | - | 13.2% | - | 1.1k |
Where does each put its research?
Not who is better, but what each side chooses to work on. A country or institution that puts twice the world's share of its research into a field sits at 2×, whatever its size.
- Chemistry3.8× 0.7×
- Chemical Engineering4.1× 0.9×
- Energy2.2× 0.5×
- Dentistry0.3× 0.1×
- Materials Science3.0× 0.9×
- Pharmacology, Toxicology and Pharmaceutics0.9× 0.3×
- Physics and Astronomy3.2× 1.4×
- Biochemistry, Genetics and Molecular Biology1.7× 1.0×
- Neuroscience1.6× 1.1×
- Computer Science1.9× 1.5×
- Engineering1.9× 1.7×
- Medicine0.4× 0.4×
- Immunology and Microbiology0.7× 0.8×
- Mathematics0.9× 1.2×
- Economics, Econometrics and Finance0.3× 0.6×
- Decision Sciences0.9× 1.8×
- Nursing0.2× 0.5×
- Business, Management and Accounting0.2× 0.7×
- Earth and Planetary Sciences0.3× 1.3×
- Arts and Humanities0.1× 0.6×
- Environmental Science0.2× 1.4×
- Agricultural and Biological Sciences0.2× 1.2×
- Social Sciences0.1× 0.8×
- Psychology0.1× 1.3×
- Health Professions0.1× 0.6×
- Veterinary0.1× 3.0×
Location quotient in 2022-now: the share of each side's research in the field over the world's share. 1× is the world's balance; the axis runs from a quarter of it to four times. Fields where ShanghaiTech University leans further are at the top, Virginia Tech's at the bottom. How research profiles are compared.
What is each known for?
The keywords that describe each side's research, by fractional works in 2022-now and weighted toward what it does more of than the world.
ShanghaiTech University
- Biological Detection
- Metal Oxides
- Convolutional Networks
- Optical Modulators
- Methane Storage
- Energy Conversion
- Heterogeneous Catalysis
- Stability
- Nanocrystals
- Semiconductors
- Water Splitting
- Electronic Structure
- Semiconductor
- Convolutional Neural Networks
- Biosensors
- Energy Storage
- Energy Efficiency
- Nanomaterials
- Neural Networks
- Machine Learning
- Deep Learning
- Catalysis
- Nanoparticles
- Biomedical Applications
- Graphene
- Cathode Materials
- Metal-Organic Frameworks
- Electrocatalysis
- Lithium-ion Batteries
- Two-Dimensional Materials
- Crystal Growth
- Efficiency
- Superconductivity
- Wireless Power Transfer
- Photovoltaics
- Light-Emitting Diodes
- Unsupervised Learning
- Spectroscopy
- Transition Metal Complexes
- Organic Synthesis
All 40 words, with their numbers
- Deep Learning358▲ 2.4×78 topics
- Machine Learning192▲ 1.34×71 topics
- Catalysis171▲ 6.0×29 topics
- Neural Networks152▲ 2.3×35 topics
- Nanoparticles106▲ 1.96×36 topics
- Nanomaterials105▲ 2.3×19 topics
- Biomedical Applications101▲ 1.99×34 topics
- Energy Efficiency88▲ 2.2×29 topics
- Graphene79▲ 2.7×10 topics
- Energy Storage77▲ 2.8×12 topics
- Cathode Materials73▲ 4.4×3 topics
- Biosensors72▲ 3.4×12 topics
- Metal-Organic Frameworks72▲ 4.0×6 topics
- Convolutional Neural Networks71▲ 2.3×14 topics
- Electrocatalysis69▲ 5.6×5 topics
- Semiconductor68▲ 4.8×7 topics
- Lithium-ion Batteries67▲ 3.8×4 topics
- Electronic Structure66▲ 8.6×8 topics
- Two-Dimensional Materials63▲ 6.4×4 topics
- Water Splitting61▲ 3.8×4 topics
- Crystal Growth60▲ 5.1×12 topics
- Semiconductors60▲ 4.8×5 topics
- Efficiency59▲ 4.6×5 topics
- Nanocrystals56▲ 5.1×5 topics
- Superconductivity56▲ 7.6×9 topics
- Stability53▲ 5.5×7 topics
- Wireless Power Transfer51▲ 13×2 topics
- Heterogeneous Catalysis48▲ 6.0×5 topics
- Photovoltaics47▲ 7.1×4 topics
- Energy Conversion47▲ 5.2×4 topics
- Light-Emitting Diodes46▲ 7.1×3 topics
- Methane Storage44▲ 8.0×2 topics
- Unsupervised Learning43▲ 6.5×3 topics
- Optical Modulators42▲ 7.0×3 topics
- Spectroscopy42▲ 5.9×9 topics
- Convolutional Networks41▲ 7.0×3 topics
- Transition Metal Complexes40▲ 10×4 topics
- Metal Oxides40▲ 7.8×2 topics
- Organic Synthesis38▲ 7.6×10 topics
- Biological Detection37▲ 9.8×2 topics
Virginia Tech
- Cognitive Load
- High-Frequency Power Conversion
- Career Development
- Accreditation
- Wide Bandgap Semiconductors
- Silicon Carbide
- High-Temperature Electronics
- Electric Vehicle Charging
- Driver Behavior
- Additive Manufacturing
- Invasive Species
- Thermal Management
- Engineering Education
- Big Data
- Remote Sensing
- Education
- Environmental Impact
- Neural Networks
- Epidemiology
- Deep Learning
- Machine Learning
- Climate Change
- Sustainability
- Globalization
- Power Electronics
- Mechanical Properties
- Energy Efficiency
- Renewable Energy Integration
- Heat Transfer
- Autonomous Vehicles
- Large-Eddy Simulation
- Lifelong Learning
- Assessment Methods
- Power Devices
- Reliability
- IGBT Modules
- Professional Skills
- Outcome-Based Education
- DC-DC Converters
- Mental Workload
All 40 words, with their numbers
- Machine Learning607▲ 1.41×85 topics
- Deep Learning555▲ 1.25×78 topics
- Climate Change532▲ 1.52×99 topics
- Epidemiology336▼ 0.65×130 topics
- Sustainability321◆ 1.02×90 topics
- Neural Networks283▲ 1.42×38 topics
- Globalization222◆ 0.88×96 topics
- Environmental Impact206◆ 0.94×61 topics
- Power Electronics206▲ 5.0×8 topics
- Education191▼ 0.86×65 topics
- Mechanical Properties184▲ 1.45×36 topics
- Remote Sensing164◆ 1.04×33 topics
- Energy Efficiency154▲ 1.29×31 topics
- Big Data149▲ 1.21×24 topics
- Renewable Energy Integration146▲ 3.4×6 topics
- Engineering Education127▲ 12×7 topics
- Heat Transfer121▲ 1.92×18 topics
- Thermal Management113▲ 2.7×8 topics
- Autonomous Vehicles112▲ 4.2×4 topics
- Invasive Species110▲ 2.0×21 topics
- Large-Eddy Simulation108▲ 4.5×5 topics
- Additive Manufacturing96▲ 2.4×8 topics
- Lifelong Learning95▲ 3.6×7 topics
- Driver Behavior89▲ 8.7×2 topics
- Assessment Methods88▲ 6.4×3 topics
- Electric Vehicle Charging86▲ 8.1×2 topics
- Power Devices83▲ 9.6×2 topics
- High-Temperature Electronics78▲ 10×2 topics
- Reliability77▲ 7.9×3 topics
- Silicon Carbide75▲ 12×2 topics
- IGBT Modules75▲ 14×1 topic
- Wide Bandgap Semiconductors75▲ 14×1 topic
- Professional Skills72▲ 17×2 topics
- Accreditation70▲ 22×1 topic
- Outcome-Based Education70▲ 22×1 topic
- Career Development70▲ 4.6×5 topics
- DC-DC Converters70▲ 9.9×1 topic
- High-Frequency Power Conversion70▲ 9.9×1 topic
- Mental Workload56▲ 8.1×2 topics
- Cognitive Load54▲ 8.7×2 topics
Size is fractional works in the topics tagged with each word; colour is the word's share of the side's work against its share of the world's. Each word links to the topic it comes from most.
How has their output grown?
Virginia Tech has out-published ShanghaiTech University every year since 1983.
Fractional works per year.
Their share of all research
Growing output can still be a shrinking share, because all of science grows. Each line is a side as a percentage of every work published that year.
Fractional works over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
The share of each side's works, year by year, that reached the world's 10% most cited for their field and year. The average of all institutions is 10.0% (why not 10%).
A year with under 1% of the side's peak output is left out: a rate over a handful of papers says nothing. The latest years are still being cited.
Which publishes more research, ShanghaiTech University or Virginia Tech?
Virginia Tech publishes 3.0× as much research as ShanghaiTech University in 2022-now (13k against 4.3k fractional works).
Whose research has more impact, ShanghaiTech University or Virginia Tech?
14.3% of ShanghaiTech University's research reaches the world's top 10% most cited, against 11.4% for Virginia Tech.
Is ShanghaiTech University or Virginia Tech growing faster?
Output in 2022-25 was +79% against 2018-21 for ShanghaiTech University, and -4% for Virginia Tech.
Which has more open access research, ShanghaiTech University or Virginia Tech?
39% of ShanghaiTech University's research is free to read, against 28% of Virginia Tech's.
Who are the top researchers on each side?
The most cited researchers on each side, among those ranked.
ShanghaiTech University
- 1 Shenghua Gao #13,563 worldwide 13k citations · 233 works
- 2 Zhijun Ning #21,751 worldwide 27k citations · 298 works
- 3 Yue‐Biao Zhang #24,604 worldwide 20k citations · 247 works
- 4 Jin Xie #26,184 worldwide 19k citations · 121 works
- 5 Xingxu Huang #27,689 worldwide 23k citations · 368 works
Virginia Tech
- 1 Viswanath Venkatesh #1,192 worldwide 86k citations · 284 works
- 2 Linsey C. Marr #11,454 worldwide 21k citations · 282 works
- 3 F.C. Lee #17,882 worldwide 29k citations · 408 works
- 4 Paul Benjamin Lowry #21,122 worldwide 17k citations · 455 works
- 5 Frank O. Aylward #24,772 worldwide 5.4k citations · 222 works