Nanjing University of Information Science and Technology
In research, Nanjing University of Information Science and Technology stands highest in Earth and Planetary Sciences (#7 of 1,209 worldwide), Physical Sciences (#93 of 12,888 worldwide) and Environmental Science (#37 of 3,551 worldwide), 2022–2025. Relative to its size it is most specialised in Atmospheric Science, Global and Planetary Change and Earth and Planetary Sciences — Atmospheric Science is 24.2× its share of world research.
- World rank, 2022–2025
- #164 of 28,054 · #583 all time
- Rank in China
- #64 of 3,058
- Research works
- 22k ▲ 89% vs 2013–17
- Citations
- 340k 15.6 per fractional work
- Top-10% rate
- 23.1% record average 16.5%
- Open access
- 38% world 28%
What is Nanjing University of Information Science and Technology 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 |
|---|---|---|---|---|---|
| Earth and Planetary SciencesField | #7 of 1,209 | 18.7% | 1,152 | #87 | |
| Physical SciencesDomain | #93 of 12,888 | 21.5% | 6,989 | #437 | |
| Environmental ScienceField | #37 of 3,551 | 23.6% | 1,610 | #218 | |
| Atmospheric ScienceSubfield | #4 of 301 | 18.4% | 896 | #73 | |
| Global and Planetary ChangeSubfield | #10 of 535 | 21.5% | 718 | #116 | |
| Economics, Econometrics and FinanceField | #45 of 1,775 | 51.1% | 216 | #264 | |
| EngineeringField | #186 of 6,636 | 21.9% | 1,791 | #582 | |
| Economics and EconometricsSubfield | #36 of 1,272 | 55.0% | 177 | #216 | |
| Computer ScienceField | #207 of 4,667 | 23.6% | 1,479 | #487 | |
| Artificial IntelligenceSubfield | #92 of 1,884 | 27.6% | 505 | #237 |
Each strip is that field’s whole ranked pool, with the notch where Nanjing University of Information Science and Technology 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.
- Earth and Planetary Sciences#87 #7
- Physical Sciences#437 #93
- Environmental Science#218 #37
- Atmospheric Science#73 #4
- Global and Planetary Change#116 #10
- Economics, Econometrics and Finance#264 #45
- Engineering#582 #186
- Economics and Econometrics#216 #36
- Computer Science#487 #207
- Artificial Intelligence#237 #92
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Nanjing University of Information Science and Technology specialise in?
Where its research is concentrated relative to its size: Atmospheric Science takes 24.2× the share of its output that it takes of world research.
- Atmospheric ScienceSubfield · 895.5 works24×
- Global and Planetary ChangeSubfield · 718.1 works11×
- Earth and Planetary SciencesField · 1,152.0 works8.8×
- OceanographySubfield · 193.3 works8.2×
- Environmental EngineeringSubfield · 246.2 works5.4×
- Computer Vision and Pattern RecognitionSubfield · 476.3 works4.5×
- Media TechnologySubfield · 116.7 works4.4×
- Health, Toxicology and MutagenesisSubfield · 185.2 works4.2×
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: Earth and Planetary Sciences, 8.8×. Every wedge is a field page.
- Earth and Planetary Sciences 8.8×
- Environmental Science 3.9×
- Computer Science 2.3×
- Energy 1.8×
- Decision Sciences 1.7×
- Mathematics 1.6×
- Engineering 1.4×
- Physics and Astronomy 1.3×
- Chemical Engineering 1.2×
- Economics, Econometrics and Finance 1.2×
- Materials Science 1.0×
- Chemistry 0.8×
- Business, Management and Accounting 0.7×
- Agricultural and Biological Sciences 0.5×
- Neuroscience 0.4×
- Arts and Humanities 0.2×
- Psychology 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Social Sciences 0.2×
- Health Professions 0.1×
- Nursing 0.1×
- Immunology and Microbiology 0.1×
- Medicine 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Veterinary 0.1×
- Dentistry 0.1×
Who are the top researchers at Nanjing University of Information Science and Technology?
Ranked on the composite score, Xingming Sun, Ting-Chun Wang and Yi Wu lead among researchers whose main affiliation is Nanjing University of Information Science and Technology.
- 1 Xingming Sun China · #11,520 worldwide 985 citations · 90 works
- 2 Ting-Chun Wang China · #45,988 worldwide 697 citations · 30 works
- 3 Yi Wu China · #75,848 worldwide 1.5k citations · 24 works
- 4 Qingshan Liu China · #77,517 worldwide 933 citations · 108 works
- 5 Xu Yue China · #79,580 worldwide 352 citations · 40 works
- 6 Le Sun China · #85,316 worldwide 272 citations · 39 works
- 7 Kaihua Zhang China · #92,521 worldwide 600 citations · 60 works
- 8 Zhihua Xia China · #107,642 worldwide 254 citations · 45 works
- 9 Guangcan Liu China · #110,678 worldwide 446 citations · 46 works
- 10 Jian Su China · #136,945 worldwide 207 citations · 45 works
Which keywords describe research at Nanjing University of Information Science and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Climate Change, Deep Learning, Remote Sensing, Global Warming, Ocean Circulation, Hydrological Cycle, Greenhouse Gas Emissions and Data Assimilation.
- Arctic
- Exposure Assessment
- Forecasting
- Support Vector Machines
- Hurricanes
- Land Use Change
- Atmospheric Aerosols
- Particulate Matter
- Satellite Observations
- Sea Level Rise
- Renewable Energy
- Convective Parameterization
- Air Quality
- Probabilistic Forecasting
- Climate Modeling
- Data Assimilation
- Hydrological Cycle
- Ocean Circulation
- Global Warming
- Deep Learning
- Climate Change
- Remote Sensing
- Machine Learning
- Neural Networks
- Greenhouse Gas Emissions
- Extreme Events
- Precipitation Extremes
- Boundary Layer
- Ensemble Kalman Filter
- Mesoscale Modeling
- Convolutional Neural Networks
- Hydrological Modeling
- Tropical Cyclones
- Chemical Composition
- Black Carbon
- Hydrology
- Storm Surge
- Climate
- Air Pollution
- Fine Particulate Air Pollution
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
- Climate Change1,204▲ 5.3×88 topics
- Deep Learning974▲ 3.4×84 topics
- Remote Sensing693▲ 6.7×38 topics
- Global Warming610▲ 18×12 topics
- Machine Learning531▲ 1.94×91 topics
- Ocean Circulation478▲ 44×3 topics
- Neural Networks463▲ 3.6×37 topics
- Hydrological Cycle425▲ 53×2 topics
- Greenhouse Gas Emissions394▲ 17×8 topics
- Data Assimilation364▲ 28×4 topics
- Extreme Events352▲ 48×2 topics
- Climate Modeling343▲ 58×1 topic
- Precipitation Extremes343▲ 58×1 topic
- Probabilistic Forecasting322▲ 20×3 topics
- Boundary Layer268▲ 26×4 topics
- Air Quality258▲ 17×6 topics
- Ensemble Kalman Filter252▲ 30×2 topics
- Convective Parameterization251▲ 55×1 topic
- Mesoscale Modeling251▲ 55×1 topic
- Renewable Energy247▲ 2.0×38 topics
- Convolutional Neural Networks229▲ 3.7×14 topics
- Sea Level Rise223▲ 21×3 topics
- Hydrological Modeling180▲ 9.2×5 topics
- Satellite Observations176▲ 22×3 topics
- Tropical Cyclones174▲ 38×2 topics
- Particulate Matter163▲ 13×2 topics
- Chemical Composition152▲ 19×3 topics
- Atmospheric Aerosols149▲ 32×1 topic
- Black Carbon149▲ 32×1 topic
- Land Use Change147▲ 5.8×8 topics
- Hydrology142▲ 14×4 topics
- Hurricanes130▲ 48×1 topic
- Storm Surge130▲ 48×1 topic
- Support Vector Machines126▲ 4.7×8 topics
- Climate125▲ 17×2 topics
- Forecasting113▲ 7.0×6 topics
- Air Pollution102▲ 9.6×3 topics
- Exposure Assessment102▲ 13×1 topic
- Fine Particulate Air Pollution102▲ 13×1 topic
- Arctic100▲ 11×4 topics
Which research topics does Nanjing University of Information Science and Technology publish most on?
By volume in 2022–2025: Climate variability and models, Meteorological Phenomena and Simulations, Atmospheric chemistry and aerosols and Tropical and Extratropical Cyclones Research.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Climate variability and models Global and Planetary Change 343 works
- 2 Meteorological Phenomena and Simulations Atmospheric Science 251 works
- 3 Atmospheric chemistry and aerosols Atmospheric Science 149 works
- 4 Tropical and Extratropical Cyclones Research Atmospheric Science 130 works
- 5 Air Quality and Health Impacts Health, Toxicology and Mutagenesis 102 works
- 6 Oceanographic and Atmospheric Processes Oceanography 82 works
- 7 Atmospheric aerosols and clouds Global and Planetary Change 82 works
- 8 Cryospheric studies and observations Atmospheric Science 71 works
- 9 Atmospheric and Environmental Gas Dynamics Global and Planetary Change 64 works
- 10 Atmospheric Ozone and Climate Atmospheric Science 64 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 Nanjing University of Information Science and Technology's research output changed?
Output in 2018–2022 was 89% 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 Nanjing
- Southeast University
- Nanjing University
- Nanjing University of Aeronautics and Astronautics
- Nanjing University of Science and Technology
- Hohai University
- Nanjing Medical University
- Nanjing Tech University
- Nanjing Agricultural University
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.