Dr. Zhiyong Zhang is a Ph.D. candidate at Tianjin University of Traditional Chinese Medicine, China. His research focuses on the integration of modern analytical techniques and artificial intelligence to enhance quality evaluation and control in Traditional Chinese Medicine (TCM). With expertise in LC/GC-MS, ICP-MS, NIR, and LIBS, he has contributed to over 20 peer-reviewed publications, including 12 SCI-indexed papers as first or co-first author. His work advances real-time, data-driven approaches for TCM manufacturing and herbal product authentication.
Scopus
Summary:
Dr. Zhiyong Zhang is a rising star in the field of Traditional Chinese Medicine research, demonstrating excellence in combining classical medical knowledge with state-of-the-art analytical and computational techniques. His research is not only scientifically rigorous but also highly relevant to real-world applications in medicine production, safety, and quality assurance. With a growing list of impactful publications and innovative methodologies, he exemplifies the type of interdisciplinary thinker the Research for Best Researcher Award aims to recognize.
🎓 Education
Zhiyong Zhang, born in September 1997 in Huaibei, Anhui, China, is currently a Ph.D. candidate in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine, under the supervision of Researcher Wenlong Li. He began his doctoral studies in September 2022. Prior to this, he participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, from September 2021 to June 2022, where he worked with Researcher Junhui Chen. Zhang completed his Master of Science in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine from September 2020 to June 2021. His academic journey began with a Bachelor of Science in Traditional Chinese Medicine Pharmaceutical at the same university, completed between 2015 and 2019.
💼Experience
Dr. Zhiyong Zhang has extensive academic and research experience in the field of Traditional Chinese Medicine (TCM). He is currently pursuing his Ph.D. at Tianjin University of Traditional Chinese Medicine, where he focuses on quality assessment and control of TCM using advanced analytical technologies and artificial intelligence. He previously participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, where he gained interdisciplinary experience in TCM analysis and data integration. He also completed both his Master’s and Bachelor’s degrees in Traditional Chinese Medicine and Pharmaceutical Sciences at Tianjin University of Traditional Chinese Medicine. Over the years, Dr. Zhang has developed strong expertise in applying chemometrics, metabolomics, and spectroscopy-based techniques to improve the reliability and efficiency of TCM research and manufacturing.
🔬Research Focus
Zhiyong Zhang’s research centers on advancing the quality evaluation and control of Traditional Chinese Medicine (TCM) through modern analytical and computational techniques. His interests include machine learning-based quality analysis of TCM using multimodal data, rapid on-site quality control of Chinese herbal materials and processed products, and the development of multidimensional quality evaluation systems integrating metabolomics, elementalomics, and chemometrics. He also focuses on the application of Process Analytical Technology (PAT) for real-time monitoring of critical quality attributes in TCM manufacturing.
🛠️Skills
He is proficient in a wide range of analytical techniques, including Liquid/Gas Chromatography-Mass Spectrometry (LC/GC-MS), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Near-Infrared Spectroscopy (NIR), and Laser-Induced Breakdown Spectroscopy (LIBS). His expertise spans both laboratory-based and field-deployable technologies, enabling high-throughput and real-time analysis of complex herbal matrices.
🏆Awards
Zhiyong Zhang has made significant contributions to the field with over 20 peer-reviewed publications, including 12 SCI-indexed papers where he served as the first author or co-first author. He has also filed three patent applications related to his research innovations in TCM quality control and evaluation technologies.