Dr. Yinyan Wang, Bejing Tiantan Hospital, China
Dr. Yinyan Wang, an accomplished neurosurgeon and researcher, serves as an Attending Surgeon at Beijing Tiantan Hospital. With expertise in brain functional mapping and radiomics, he has authored 70 SCI publications and holds several national patents. Dr. Wang leads prominent projects including the Beijing Natural Science Foundation and National Natural Science Foundation initiatives. His contributions to neurosurgery include pioneering methods in functional MRI and glioma research, recognized with multiple prestigious awards. As PI of China National Clinical Research Center for Neurological Diseases and China Institute for Brain Research, he continues to advance neuroscience, integrating international training from Finland, Germany, and the Netherlands. š§ āØ
š Education Background
He obtained his Ph.D. and Master’s degrees in Neurosurgery from Capital Medical University, following a Bachelor’s in Clinical Medicine.
šØāāļø Working Experience
Starting as a resident doctor and now serving as Deputy Chief Surgeon, his career highlights include roles as Associate Professor and Attending Surgeon.
š Awards
Recognized for his contributions, he holds key positions in national research centers and medical committees, driving advancements in neurology.
Research Focus
Dr. Wang Y. focuses on advancing the understanding and treatment of neurological conditions, particularly gliomas. His research spans diverse areas including pre-operative brain mapping and radiomics-based machine learning for brain tumors. š§ His contributions are widely recognized with numerous publications in esteemed journals, showcasing innovative approaches in clinical neuroimaging and neurosurgery. Dr. Wang’s work not only enhances surgical techniques but also pioneers new methods in functional MRI and data analysis. His commitment to improving outcomes for patients with brain tumors underscores his significant impact in the field of neuroscience. š
Publication Top Notes
- Model construction and multi-objective performance optimization of a biodiesel-diesel dual-fuel engine based on CNN-GRU š Wang, H. et al., Energy, 2024,
- Structural changes in eloquent cortex secondary to glioma in sensorimotor area š§ Guo, Y. et al., Human Brain Mapping, 2024,
- Construction of digital twin model of engine in-cylinder combustion based on data-driven š ļø Hu, D. et al., Energy, 2024,
- The effect of changing EGR rate on engine performance under different ammonia/methanol ratios š Yang, C. et al., Journal of the Energy Institute, 2024, Effects of combustion and emission performance of ammonia/natural gas engines ignited by diesel ā½ Wang, B. et al., Fuel, 2024, cited by: 6
- Construction and verification of dual-fuel engine combustion model š„ Hu, D. et al., Journal of the Energy Institute, 2024,
- Effect of different ammonia/methanol ratios on engine combustion and emission performance š”ļø Wang, B. et al., Applied Thermal Engineering, 2024, cited by: 14
- Research on surrogate models and optimization algorithms of compressor characteristic based on digital twins š Yang, Q. et al., Journal of Engineering Research (Kuwait), 2024, cited by: 0
- Effect of different ammonia mixing methods for diesel ignition on combustion and emission performance of high pressure common rail engine š Wang, B. et al., Journal of the Energy Institute, 2023, cited by: 5
- Development of an integrated predictive model for postoperative glioma-related epilepsy using gene-signature and clinical data š§¬ Li, L. et al., BMC Cancer, 2023, cited by: 1