What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Internal medicine
- Statistics
The scientist’s investigation covers issues in Composite material, Metallurgy, Microstructure, Martensite and Surgery.
His Composite material study frequently intersects with other fields, such as Dielectric loss.
His work carried out in the field of Microstructure brings together such families of science as Flexural strength, Hardening, Structural material, Thermal shock and Anisotropy.
His research integrates issues of Meta-analysis, Internal medicine and Cohort study in his study of Surgery.
Xin Sun focuses mostly in the field of Meta-analysis, narrowing it down to topics relating to Odds ratio and, in certain cases, Observational study.
His Plasticity study deals with Deformation intersecting with Representative elementary volume and Electron backscatter diffraction.
His most cited work include:
- Laminated magnetic graphene with enhanced electromagnetic wave absorption properties (505 citations)
- Predicting failure modes and ductility of dual phase steels using plastic strain localization (276 citations)
- Sparse coding based visual tracking: Review and experimental comparison (241 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Composite material, Metallurgy, Internal medicine, Microstructure and Artificial intelligence.
His studies in Composite material integrate themes in fields like Solid oxide fuel cell and Finite element method.
Much of his study explores Metallurgy relationship to Plasticity.
His biological study spans a wide range of topics, including Type 2 diabetes and Oncology.
His studies deal with areas such as Machine learning, Computer vision and Pattern recognition as well as Artificial intelligence.
His Meta-analysis study frequently draws connections to other fields, such as Odds ratio.
He most often published in these fields:
- Composite material (16.28%)
- Metallurgy (12.34%)
- Internal medicine (12.72%)
What were the highlights of his more recent work (between 2018-2021)?
- Internal medicine (12.72%)
- Artificial intelligence (9.54%)
- Randomized controlled trial (7.76%)
In recent papers he was focusing on the following fields of study:
Xin Sun mostly deals with Internal medicine, Artificial intelligence, Randomized controlled trial, Obstetrics and Meta-analysis.
His work on Epidemiology, Cancer and Lung cancer as part of general Internal medicine study is frequently linked to In patient, bridging the gap between disciplines.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Computer vision and Pattern recognition.
As a part of the same scientific study, Xin Sun usually deals with the Randomized controlled trial, concentrating on MEDLINE and frequently concerns with Family medicine and Cross-sectional study.
His Obstetrics research integrates issues from Body mass index, Pregnancy, Cohort study, Prospective cohort study and Gestational diabetes.
His Meta-analysis research focuses on Confidence interval and how it connects with Odds ratio.
Between 2018 and 2021, his most popular works were:
- Acupuncture as Adjunctive Therapy for Chronic Stable Angina: A Randomized Clinical Trial. (46 citations)
- Duration of dual antiplatelet therapy after percutaneous coronary intervention with drug-eluting stent: systematic review and network meta-analysis (36 citations)
- Electric passenger vehicles sales and carbon dioxide emission reduction potential in China’s leading markets (31 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Internal medicine
- Statistics
Xin Sun mainly investigates Artificial intelligence, Meta-analysis, Composite material, Randomized controlled trial and Internal medicine.
Xin Sun combines subjects such as Machine learning, Relation, Computer vision and Pattern recognition with his study of Artificial intelligence.
In the subject of general Meta-analysis, his work in Cochrane Library is often linked to Apixaban, thereby combining diverse domains of study.
In his study, Surgical procedures, Physical therapy and Research design is strongly linked to MEDLINE, which falls under the umbrella field of Randomized controlled trial.
His work on Hazard ratio, Atrial fibrillation and Stroke as part of general Internal medicine research is frequently linked to Dabigatran and Vitamin K antagonist, bridging the gap between disciplines.
His Microstructure study combines topics in areas such as Tempering and Carbon steel.
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