Shandong Institute of Business and Technology
In research, Shandong Institute of Business and Technology stands highest in Physical Sciences (#1,640 of 12,888 worldwide), Economics, Econometrics and Finance (#234 of 1,775 worldwide) and Social Sciences (#1,672 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Business and International Management, Media Technology and Computer Vision and Pattern Recognition — Business and International Management is 14.0× its share of world research.
- World rank, 2022–2025
- #2,286 of 28,054 · #5,868 all time
- Rank in China
- #596 of 3,058
- Research works
- 4.6k ▲ 94% vs 2013–17
- Citations
- 24k 5.2 per fractional work
- Top-10% rate
- 20.5% record average 16.5%
- Open access
- 31% world 28%
What is Shandong Institute of Business 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #1,640 of 12,888 | 16.7% | 1,126 | #4354 | |
| Economics, Econometrics and FinanceField | #234 of 1,775 | 48.2% | 123 | #790 | |
| Social SciencesDomain | #1,672 of 10,521 | 30.0% | 435 | #3180 | |
| EngineeringField | #1,157 of 6,636 | 15.4% | 447 | #3028 | |
| Economics and EconometricsSubfield | #228 of 1,272 | 49.9% | 96 | #719 | |
| Computer ScienceField | #1,024 of 4,667 | 16.2% | 391 | #2327 | |
| Business, Management and AccountingField | #931 of 2,578 | 27.5% | 121 | #1799 | |
| Artificial IntelligenceSubfield | #836 of 1,884 | 16.3% | 129 | #1685 | |
| Environmental ScienceField | #1,803 of 3,551 | 20.3% | 124 | #3306 | |
| Computer Vision and Pattern RecognitionSubfield | #481 of 941 | 15.5% | 128 | #1134 |
Each strip is that field’s whole ranked pool, with the notch where Shandong Institute of Business 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.
- Physical Sciences#4,354 #1,640
- Economics, Econometrics and Finance#790 #234
- Social Sciences#3,180 #1,672
- Engineering#3,028 #1,157
- Economics and Econometrics#719 #228
- Computer Science#2,327 #1,024
- Business, Management and Accounting#1,799 #931
- Artificial Intelligence#1,685 #836
- Environmental Science#3,306 #1,803
- Computer Vision and Pattern Recognition#1,134 #481
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Shandong Institute of Business and Technology specialise in?
Where its research is concentrated relative to its size: Business and International Management takes 14.0× the share of its output that it takes of world research.
- Business and International ManagementSubfield · 25.3 works14×
- Media TechnologySubfield · 66.4 works12×
- Computer Vision and Pattern RecognitionSubfield · 127.8 works5.9×
- Management Science and Operations ResearchSubfield · 40.3 works4.8×
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: Economics, Econometrics and Finance, 3.4×. Every wedge is a field page.
- Economics, Econometrics and Finance 3.4×
- Decision Sciences 3.1×
- Computer Science 2.9×
- Business, Management and Accounting 2.2×
- Engineering 1.7×
- Mathematics 1.6×
- Energy 1.6×
- Environmental Science 1.4×
- Earth and Planetary Sciences 1.0×
- Chemical Engineering 0.8×
- Physics and Astronomy 0.8×
- Neuroscience 0.6×
- Materials Science 0.5×
- Social Sciences 0.5×
- Chemistry 0.5×
- Psychology 0.4×
- Agricultural and Biological Sciences 0.3×
- Health Professions 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Arts and Humanities 0.2×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Nursing 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Dentistry 0.1×
- Veterinary 0.1×
Who are the top researchers at Shandong Institute of Business and Technology?
Ranked on the composite score, Zhang Yan, Jinjiang Li and Feng Zhao lead among researchers whose main affiliation is Shandong Institute of Business and Technology.
- 1 Zhang Yan China · #592,544 worldwide 3 citations · 26 works
- 2 Jinjiang Li China · #610,739 worldwide 215 citations · 82 works
- 3 Feng Zhao China · #620,504 worldwide 75 citations · 30 works
- 4 Xiaobo Chen China · #647,720 worldwide 121 citations · 39 works
- 5 Zhen Hua China · #690,230 worldwide 81 citations · 41 works
- 6 Xiaoqing Wang China · #808,853 worldwide 46 citations · 16 works
- 7 Hui Fan China · #949,879 worldwide 47 citations · 21 works
- 8 Chongyang Liu China · #956,668 worldwide 63 citations · 21 works
- 9 Fan Zhang China · #1,022,989 worldwide 57 citations · 29 works
- 10 Yuan Da China · #1,090,193 worldwide 6 citations · 15 works
Which keywords describe research at Shandong Institute of Business and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Remote Sensing, Machine Learning, Support Vector Machines, Convolutional Neural Networks, Economic Growth and Internet of Things.
- Supply Chain
- Object-Based Analysis
- Change Detection
- Cloud Computing
- Hyperspectral Imaging
- Convolutional Neural Network
- Regional Planning
- Trade Openness
- Kuznets Curve
- Wireless Sensor Networks
- CO2 Emissions
- Energy Consumption
- Financial Development
- Big Data
- Feature Extraction
- Support Vector Machines
- Internet of Things
- Artificial Intelligence
- Remote Sensing
- Machine Learning
- Deep Learning
- Neural Networks
- Renewable Energy
- Economic Growth
- Convolutional Neural Networks
- Hyperspectral
- Sparse Representation
- Urbanization
- Panel Data Analysis
- Data Mining
- Wavelet Transform
- Environmental Regulation
- Risk Assessment
- Classification
- Image Processing
- Big Data Analytics
- Water Quality
- Computer Vision
- Image Analysis
- Spectral Unmixing
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 Learning324▲ 5.5×81 topics
- Machine Learning151▲ 2.7×77 topics
- Neural Networks123▲ 4.7×34 topics
- Remote Sensing112▲ 5.3×23 topics
- Renewable Energy84▲ 3.4×34 topics
- Artificial Intelligence81▲ 3.4×33 topics
- Economic Growth71▲ 4.8×15 topics
- Internet of Things71▲ 4.7×26 topics
- Convolutional Neural Networks69▲ 5.5×14 topics
- Support Vector Machines68▲ 12×8 topics
- Hyperspectral55▲ 37×2 topics
- Feature Extraction54▲ 6.8×10 topics
- Sparse Representation50▲ 15×6 topics
- Big Data46▲ 3.0×21 topics
- Urbanization46▲ 6.5×7 topics
- Financial Development45▲ 17×2 topics
- Panel Data Analysis45▲ 16×2 topics
- Energy Consumption45▲ 11×4 topics
- Data Mining44▲ 3.5×14 topics
- CO2 Emissions44▲ 14×4 topics
- Wavelet Transform44▲ 11×7 topics
- Wireless Sensor Networks44▲ 5.7×19 topics
- Environmental Regulation43▲ 17×2 topics
- Kuznets Curve43▲ 22×1 topic
- Risk Assessment43▲ 3.7×14 topics
- Trade Openness43▲ 22×1 topic
- Classification43▲ 5.4×12 topics
- Regional Planning40▲ 32×2 topics
- Image Processing39▲ 5.2×11 topics
- Convolutional Neural Network36▲ 13×4 topics
- Big Data Analytics35▲ 9.5×5 topics
- Hyperspectral Imaging35▲ 7.2×7 topics
- Water Quality35▲ 5.1×10 topics
- Cloud Computing32▲ 6.7×12 topics
- Computer Vision31▲ 6.7×4 topics
- Change Detection31▲ 26×2 topics
- Image Analysis30▲ 18×2 topics
- Object-Based Analysis30▲ 35×1 topic
- Spectral Unmixing30▲ 35×1 topic
- Supply Chain29▲ 8.0×7 topics
Which research topics does Shandong Institute of Business and Technology publish most on?
By volume in 2022–2025: Energy, Environment, Economic Growth, Remote-Sensing Image Classification, Educational Reforms and Innovations and Advanced Image Fusion Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Energy, Environment, Economic Growth Economics and Econometrics 43 works
- 2 Remote-Sensing Image Classification Media Technology 30 works
- 3 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 28 works
- 4 Advanced Image Fusion Techniques Media Technology 25 works
- 5 E-commerce and Technology Innovations Business and International Management 24 works
- 6 Image Enhancement Techniques Computer Vision and Pattern Recognition 19 works
- 7 Ideological and Political Education Education 17 works
- 8 Stock Market Forecasting Methods Management Science and Operations Research 16 works
- 9 Educational Technology and Pedagogy Artificial Intelligence 16 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 15 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 Shandong Institute of Business and Technology's research output changed?
Output in 2018–2022 was 94% 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 Yantai
- Yantai University
- Ludong University
- Naval Aeronautical and Astronautical University
- Binzhou Medical University
- Yuhuangding Hospital
- Yantaishan Hospital
- Yantai Institute of Coastal Zone Research
- Yantai Academy of Agricultural Sciences
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.