Chengdu University of Information Technology
In research, Chengdu University of Information Technology stands highest in Physical Sciences (#939 of 12,888 worldwide), Engineering (#858 of 6,636 worldwide) and Earth and Planetary Sciences (#250 of 1,209 worldwide), 2022–2025. Relative to its size it is most specialised in Atmospheric Science, Business and International Management and Computer Vision and Pattern Recognition — Atmospheric Science is 13.3× its share of world research.
- World rank, 2022–2025
- #1,371 of 28,054 · #2,888 all time
- Rank in China
- #407 of 3,058
- Research works
- 8.7k ▲ 70% vs 2013–17
- Citations
- 67k 7.7 per fractional work
- Top-10% rate
- 14.3% record average 16.5%
- Open access
- 29% world 28%
What is Chengdu University of Information 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #939 of 12,888 | 13.6% | 2,267 | #2011 | |
| EngineeringField | #858 of 6,636 | 13.9% | 769 | #1688 | |
| Earth and Planetary SciencesField | #250 of 1,209 | 12.0% | 222 | #734 | |
| Computer ScienceField | #1,192 of 4,667 | 12.9% | 708 | #1977 | |
| Social SciencesDomain | #3,007 of 10,521 | 18.9% | 306 | #5954 | |
| Electrical and Electronic EngineeringSubfield | #767 of 2,318 | 12.0% | 247 | #1293 | |
| Environmental ScienceField | #1,180 of 3,551 | 15.2% | 275 | #1903 | |
| Artificial IntelligenceSubfield | #711 of 1,884 | 13.6% | 249 | #1261 | |
| Computer Vision and Pattern RecognitionSubfield | #367 of 941 | 12.2% | 199 | #797 | |
| Physics and AstronomyField | #728 of 1,646 | 14.7% | 81 | #1731 |
Each strip is that field’s whole ranked pool, with the notch where Chengdu University of Information 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.
- Physical Sciences#2,011 #939
- Engineering#1,688 #858
- Earth and Planetary Sciences#734 #250
- Computer Science#1,977 #1,192
- Social Sciences#5,954 #3,007
- Electrical and Electronic Engineering#1,293 #767
- Environmental Science#1,903 #1,180
- Artificial Intelligence#1,261 #711
- Computer Vision and Pattern Recognition#797 #367
- Physics and Astronomy#1,731 #728
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Chengdu University of Information Technology specialise in?
Where its research is concentrated relative to its size: Atmospheric Science takes 13.3× the share of its output that it takes of world research.
- Atmospheric ScienceSubfield · 164.7 works13×
- Business and International ManagementSubfield · 22.3 works7.6×
- Computer Vision and Pattern RecognitionSubfield · 198.9 works5.6×
- Earth and Planetary SciencesField · 222.1 works5.1×
- Media TechnologySubfield · 44.2 works5.0×
- Global and Planetary ChangeSubfield · 100.6 works4.7×
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, 5.1×. Every wedge is a field page.
- Earth and Planetary Sciences 5.1×
- Computer Science 3.3×
- Environmental Science 2.0×
- Engineering 1.8×
- Physics and Astronomy 1.3×
- Materials Science 1.3×
- Decision Sciences 1.2×
- Chemical Engineering 1.2×
- Mathematics 0.9×
- Business, Management and Accounting 0.9×
- Energy 0.9×
- Neuroscience 0.8×
- Economics, Econometrics and Finance 0.7×
- Chemistry 0.6×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Social Sciences 0.3×
- Psychology 0.3×
- Agricultural and Biological Sciences 0.2×
- Health Professions 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Nursing 0.2×
- Medicine 0.1×
- Arts and Humanities 0.1×
- Dentistry 0.0×
- Immunology and Microbiology 0.0×
- Veterinary 0.0×
Who are the top researchers at Chengdu University of Information Technology?
Ranked on the composite score, Hao Wang, Tao Jiang and Xi Xiong lead among researchers whose main affiliation is Chengdu University of Information Technology.
- 1 Hao Wang China · #12,970 worldwide 1.4k citations · 46 works
- 2 Tao Jiang China · #228,160 worldwide 164 citations · 37 works
- 3 Xi Xiong China · #251,236 worldwide 229 citations · 21 works
- 4 Peihua Wangyang China · #313,438 worldwide 188 citations · 27 works
- 5 Wu Hong China · #313,799 worldwide 0 citations · 33 works
- 6 Yao Yao China · #350,632 worldwide 191 citations · 15 works
- 7 Yongqing Zhang China · #387,959 worldwide 155 citations · 45 works
- 8 Shaojie Qiao China · #420,159 worldwide 170 citations · 56 works
- 9 Chen Lin China · #428,494 worldwide 16 citations · 19 works
- 10 Yingchun Ding China · #507,544 worldwide 159 citations · 31 works
Which keywords describe research at Chengdu University of Information Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Remote Sensing, Climate Change, Convolutional Neural Networks, Internet of Things and Probabilistic Forecasting.
- Validation
- Sea Level Rise
- Hydrology
- Hyperspectral Imaging
- Support Vector Machines
- Climate Modeling
- IoT Security
- Sparse Representation
- Mesoscale Modeling
- Ensemble Kalman Filter
- Feature Extraction
- Boundary Layer
- Security
- Image Processing
- Data Assimilation
- Probabilistic Forecasting
- Artificial Intelligence
- Convolutional Neural Networks
- Remote Sensing
- Machine Learning
- Deep Learning
- Neural Networks
- Climate Change
- Internet of Things
- Data Mining
- Global Warming
- Wireless Sensor Networks
- Hydrological Cycle
- Anomaly Detection
- Ocean Circulation
- Greenhouse Gas Emissions
- Convective Parameterization
- Hydrological Modeling
- Extreme Events
- Air Quality
- Precipitation Extremes
- Computer Vision
- Image Classification
- Convolutional Neural Network
- Satellite Observations
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 Learning447▲ 4.7×83 topics
- Machine Learning240▲ 2.6×83 topics
- Neural Networks198▲ 4.6×36 topics
- Remote Sensing169▲ 4.9×35 topics
- Climate Change164▲ 2.2×67 topics
- Convolutional Neural Networks96▲ 4.7×14 topics
- Internet of Things92▲ 3.8×25 topics
- Artificial Intelligence72▲ 1.88×39 topics
- Data Mining66▲ 3.1×13 topics
- Probabilistic Forecasting64▲ 12×3 topics
- Global Warming62▲ 5.5×11 topics
- Data Assimilation60▲ 14×4 topics
- Wireless Sensor Networks58▲ 4.6×21 topics
- Image Processing55▲ 4.5×12 topics
- Hydrological Cycle55▲ 21×2 topics
- Security53▲ 2.9×20 topics
- Anomaly Detection51▲ 6.3×5 topics
- Boundary Layer51▲ 15×3 topics
- Ocean Circulation50▲ 14×3 topics
- Feature Extraction49▲ 3.8×10 topics
- Greenhouse Gas Emissions48▲ 6.4×6 topics
- Ensemble Kalman Filter48▲ 17×2 topics
- Convective Parameterization47▲ 31×1 topic
- Mesoscale Modeling47▲ 31×1 topic
- Hydrological Modeling44▲ 6.8×5 topics
- Sparse Representation43▲ 7.9×6 topics
- Extreme Events42▲ 17×2 topics
- IoT Security42▲ 4.7×3 topics
- Air Quality41▲ 7.9×6 topics
- Climate Modeling40▲ 20×1 topic
- Precipitation Extremes40▲ 20×1 topic
- Support Vector Machines40▲ 4.5×8 topics
- Computer Vision40▲ 5.3×4 topics
- Hyperspectral Imaging38▲ 4.8×7 topics
- Image Classification36▲ 7.5×3 topics
- Hydrology36▲ 10×4 topics
- Convolutional Neural Network34▲ 7.8×4 topics
- Sea Level Rise32▲ 9.1×3 topics
- Satellite Observations30▲ 11×3 topics
- Validation29▲ 12×3 topics
Which research topics does Chengdu University of Information Technology publish most on?
By volume in 2022–2025: Meteorological Phenomena and Simulations, Climate variability and models, Advanced Neural Network Applications and Network Security and Intrusion Detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Meteorological Phenomena and Simulations Atmospheric Science 47 works
- 2 Climate variability and models Global and Planetary Change 40 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 27 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 25 works
- 5 Precipitation Measurement and Analysis Atmospheric Science 22 works
- 6 E-commerce and Technology Innovations Business and International Management 21 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 20 works
- 8 Cryospheric studies and observations Atmospheric Science 20 works
- 9 Atmospheric chemistry and aerosols Atmospheric Science 20 works
- 10 Remote Sensing and Land Use Atmospheric Science 19 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 Chengdu University of Information Technology's research output changed?
Output in 2018–2022 was 70% 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 Chengdu
- Sichuan University
- University of Electronic Science and Technology of China
- Southwest Jiaotong University
- West China Hospital of Sichuan University
- Southwest Petroleum University
- Chengdu University of Technology
- Chengdu University
- Xihua 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.