- Research works
- 28 fractional, all time
- Citations
- 196 7.0 per fractional work
- Top-10% rate
- 24.6% record average 16.5%
- Open access
- 69% world 28%
Not ranked overall: Jinzhong College of Information is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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: Immunology and Microbiology, 3.9×. Every wedge is a field page.
- Immunology and Microbiology 3.9×
- Agricultural and Biological Sciences 2.0×
- Environmental Science 1.9×
- Computer Science 1.9×
- Neuroscience 1.6×
- Decision Sciences 1.3×
- Mathematics 1.3×
- Psychology 1.3×
- Engineering 1.2×
- Nursing 1.0×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Social Sciences 0.8×
- Medicine 0.8×
- Earth and Planetary Sciences 0.7×
- Business, Management and Accounting 0.6×
- Dentistry 0.4×
- Materials Science 0.4×
- Physics and Astronomy 0.2×
- Health Professions 0.1×
Which keywords describe research at Jinzhong College of Information?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Artificial Intelligence, Machine Learning, Wireless Sensor Networks, Medical Imaging, Convolutional Neural Networks, Ideological Education and Political Education.
- Climate Change
- Neural Networks
- Ideological Education
- Wireless Sensor Networks
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Convolutional Neural Networks
- Medical Imaging
- Political Education
- Precision Medicine
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 11 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 11 words, with their numbers
- Deep Learning4▲ 5.1×22 topics
- Machine Learning3▲ 3.4×16 topics
- Artificial Intelligence2▲ 7.0×8 topics
- Wireless Sensor Networks2▲ 13×3 topics
- Convolutional Neural Networks1▲ 6.6×6 topics
- Ideological Education1▲ 183×1 topic
- Medical Imaging1▲ 8.9×3 topics
- Neural Networks1▲ 2.9×12 topics
- Political Education1▲ 183×1 topic
- Climate Change1▲ 1.54×4 topics
- Precision Medicine1▲ 9.1×3 topics
Which research topics does Jinzhong College of Information publish most on?
By volume in 2022–2025: Ideological and Political Education, Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment and Educational Reforms and Innovations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Ideological and Political Education Education 1 works
- 2 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 1 works
- 3 Lung Cancer Diagnosis and Treatment Pulmonary and Respiratory Medicine 1 works
- 4 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 1 works
- 5 E-commerce and Technology Innovations Business and International Management 0 works
- 6 Engineering Education and Curriculum Development Media Technology 0 works
- 7 AI in cancer detection Artificial Intelligence 0 works
- 8 Rangeland and Wildlife Management Ecology 0 works
- 9 Meat and Animal Product Quality Animal Science and Zoology 0 works
- 10 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 0 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 Jinzhong College of Information's research output changed?
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
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.