Personal Profile

Professor Wei Ma is the Doctoral Supervisor at Xi'an Jiaotong University, also serves as the Vice Dean of the School of Materials Science and Engineering. He has been selected for several prestigious national and provincial talent programs, including the National Leading Talent Program (2020), the National Young Talent Program (2015), and leads the Shaanxi Provincial Science and Technology Innovation Team (2019). His long-term research focuses on organic optoelectronic materials, organic neuromorphic materials, flexible intelligent sensors and integrated devices, flexible non-volatile memory, and the development of synchrotron radiation X-ray scattering techniques for large-scale scientific facilities. In recent years, he has published over 100 research papers as first or corresponding author in renowned journals such as Nature Materials, Nature Electronics, Nature Energy, and Advanced Materials, as well as in journals with an impact factor greater than 15. His work has been cited over 50,000 times in SCI databases, with an h-index of 109. Professor Ma has received numerous awards, including the Shaanxi Provincial Natural Science First Prize (Ranked First), the Contribution Award for Overseas Chinese Scholars, the Nomination Award for Young Scientists in Strengthening the Nation, and the Scientist Award from the International Association for Advanced Materials. He has been consistently recognized as a Highly Cited Researcher by Clarivate Analytics for eight consecutive years (2018–2025). He also holds positions as a Council Member of the Youth Working Committee of the Chinese Materials Research Society, a Young Editorial Board Member of Chinese Journal of Chemistry, and an Editorial Board Member of InfoMat. His team's research achievements have been highly regarded by institutions such as Sandia National Laboratories and Lawrence Berkeley National Laboratory in the United States, which evaluated the work as "highly valuable for developing multifunctional analog circuits with biological neural networks for perception and learning" and "having strong application prospects in the field of brain-computer interfaces."