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Ms. Wanxiu Xu | Data law | Best Researcher Award

Ms. Wanxiu Xu, University of science and technology of china, China

Wanxiu Xu is a dedicated Ph.D. candidate in Business Administration at the University of Science and Technology of China, focusing on data security governance and cross-border data flow. She holds a Master’s in Law and has served as a visiting scholar at Nanyang Technological University, Singapore. Wanxiu has contributed to multiple publications on data protection and cybersecurity, and she has played a pivotal role in developing national standards for data security in China. Additionally, she has been involved in key research projects and legislative efforts, demonstrating her commitment to enhancing data governance. šŸ“ššŸ”’šŸŒšŸ“Š

 

Publication profile

Scopus

Educational Background

Ms. Wanxiu Xu is currently pursuing her Ph.D. in Business Administration at the University of Science and Technology of China, following her master’s degree in Law. Her academic journey has equipped her with a unique interdisciplinary perspective, particularly in data security governance and cross-border data flow. This foundation positions her well for conducting impactful research in an increasingly globalized digital landscape.

Research Contributions

Ms. Xu has made significant contributions to the field through her research and publications. With several articles accepted in high-impact journals, including a JCR Q1 publication, her work addresses critical issues surrounding global data governance, particularly the regulatory frameworks influencing China-U.S. data flows. Her focus on practical implications, such as suggestions for strengthening certification systems and legal analyses of data protection measures, demonstrates her commitment to bridging theory and practice.

Conclusion

Ms. Wanxiu Xu exemplifies the qualities sought in a recipient of the Best Researcher Award. Her academic excellence, coupled with her extensive research contributions and involvement in national initiatives, positions her as a leading figure in her field. Her work not only advances academic knowledge but also informs critical policy developments, making her a deserving candidate for this prestigious recognition.

Publication Top Notes

  • Exploring Abnormal Brain Functional Connectivity in Healthy Adults, Depressive Disorder, and Generalized Anxiety Disorder through EEG Signals: A Machine Learning Approach for Triple Classification (2024) šŸ“Š – 0 citations
  • Rapid detection of liver metastasis risk in colorectal cancer patients through blood test indicators (2024) šŸ©ŗ – 0 citations
  • Impact of different drying methods on physicochemical characteristics and nutritional compositions of bee larvae (2024) šŸÆ – 7 citations
  • Neuroimaging Study of Brain Functional Differences in Generalized Anxiety Disorder and Depressive Disorder (2023) šŸ§  – 3 citations
  • Online Machine Vision-Based Modeling during Cantaloupe Microwave Drying Utilizing Extreme Learning Machine and Artificial Neural Network (2023) šŸ‰ – 2 citations
  • Altered Functional Brain Network Structure between Patients with High and Low Generalized Anxiety Disorder (2023) šŸ” – 7 citations
  • Self-Regulation Phenomenon Emerged During Prolonged Fatigue Driving: An EEG Connectivity Study (2023) šŸš— – 4 citations
  • Driving Fatigue Detection with Three Prefrontal EEG Channels and Deep Learning Model (2023) ā³ – 1 citation
  • An improvement of far-infrared drying for ginger slices with computer vision and fuzzy logic control (2022) šŸƒ – 2 citations
  • Effect of far infrared and far infrared combined with hot air drying on the drying kinetics, bioactives, aromas, physicochemical qualities of Anoectochilus roxburghii (Wall.) Lindl. (2022) šŸŒ± – 13 citations

 

Wanxiu Xu | Data law | Best Researcher Award

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