Dr. Hsiuying Wang is a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University. With a Ph.D. in statistics from National Taiwan University and National Tsing Hua University, Dr. Wang has a robust academic background that laid the foundation for her illustrious career. Since joining the Institute in 1996, she has dedicated over 28 years to academia and research.
Profile:
📚 Education & Experience:
Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, holds a PhD in mathematics and statistics. She completed her bachelor’s, master’s, and doctoral degrees from National Taiwan University and National Tsing Hua University between 1988 and 1996.
🏅 Academic Achievements:
Dr. Wang’s scholarly pursuits are highlighted by approximately 90 international journal publications. She holds editorial positions in esteemed journals such as Frontiers in Genetics, Frontiers in Oncology, and Scientific Reports. Recognized for her scholarly impact, she was inducted as a full member of the Sigma Xi Scientific Research Honor Society in 2023.
🌱 Sustainable Agriculture Research Focus
Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, brings her expertise in statistics to the realm of sustainable agriculture. With a PhD in mathematics and statistics and 28 years of experience, Dr. Wang has diversified her research focus to encompass sustainable agriculture alongside her specialization in bioinformatics and biomaterials. 🔬 Interdisciplinary Approach Employing an interdisciplinary approach, Dr. Wang delves into statistical methodologies to address challenges in sustainable agriculture. Her research aims to optimize resource allocation, improve crop yield prediction models, and enhance farming practices through data-driven insights. 🌿 Bridging Statistical Analysis with Agricultural Innovation By integrating statistical analysis with agricultural innovation, Dr. Wang seeks to develop sustainable solutions for food security, environmental conservation, and economic resilience in farming communities. Her work underscores the importance of data-driven decision-making in fostering agricultural sustainability. 🏅 Commitment to Progress As a dedicated educator and researcher, Dr. Wang remains committed to advancing sustainable agriculture practices. Her vision encompasses a future where statistical analysis serves as a cornerstone for agricultural development, paving the way for a more resilient and equitable food system.
Citations:
- Total Citations: 1429
- Citations Since 2019: 949
- H-index: 22
- i10-index: 46 (All time)
- i10-index: 31 (Since 2019)
Publication Top Notes:
- “A review of the effects of collagen treatment in clinical studies”
- Journal: Polymers, Volume 13, Issue 22, Page 3868, Year 2021
- Citations: 108
- “MicroRNAs and apoptosis in colorectal cancer”
- Journal: International Journal of Molecular Sciences, Volume 21, Issue 15, Page 5353, Year 2020
- Citations: 90
- “Comparison of p control charts for low defective rate”
- Journal: Computational Statistics & Data Analysis, Volume 53, Issue 12, Pages 4210-4220, Year 2009
- Citations: 60
- “Anti-NMDA receptor encephalitis and vaccination”
- Journal: International Journal of Molecular Sciences, Volume 18, Issue 1, Page 193, Year 2017
- Citations: 58
- “Exploring microRNA biomarker for amyotrophic lateral sclerosis”
- Journal: International Journal of Molecular Sciences, Volume 19, Issue 5, Page 1318, Year 2018
- Citations: 43
- “Tolerance intervals for discrete distributions in exponential families”
- Journal: Statistica Sinica
- Pages: 905-923, Year 2009
- Citations: 40
- “Efficacies of treatments for anti-NMDA receptor encephalitis”
- Journal: Frontiers in Bioscience
- Volume 21, Pages 651-663, Year 2016
- Citations: 38
- “Tolerance intervals with improved coverage probabilities for binomial and Poisson variables”
- Journal: Technometrics, Volume 51, Issue 1, Pages 25-33, Year 2009
- Citations: 36
- “Exact confidence coefficients of simultaneous confidence intervals for multinomial proportions”
- Journal: Journal of Multivariate Analysis, Volume 99, Issue 5, Pages 896-911, Year 2008
- Citations: 35