Biography
Dr. Dong was born in 1969 at Dalian, China. He received his Ph.D. at Institute of High Energy Physics, Chinese Academy of Sciences, China, in 1999. After that, Dr. Dong joined the Physical Theoretical Chemistry Laboratory of University of Oxford as a Visiting Professor, Kansas State University as Postdoc Fellow, the National Autonomous University of Mexico as Visiting Professor, the Mexican Institute of Petroleum as Postdoc Fellow and Distinguished Visiting Professor, and the Superior School of Physics and Mathematics, National Polytechnic Institute (IPN) as full-time Professor through the program of excellent position, and he has a permanent position as Professor at IPN since 2007. He is the Regular Member of Mexican Academy of Sciences since 2012 and Visiting Professor at Louisiana State University in 2013. Dr. Dong was awarded the certificate by Pakistan president Mamnoon Hussain at 41th International Nathiagali Summer College in 2016. He received the maximum top prize “Presea Lazaro Cardenas” and was awarded by Mexico President Lic. Enrique Peña Nieto in President Palace in 2017.
Dr. Dong is SNI III (Mexico National Investigator maximum top level in Mexico) since 2019 and the (Academic, Chief) Editors and Editorial Board Members of over 10 International Journals. He has authored and co-authored more than 280 papers (JCR), one book Chapter, one edited Book, two Books published by Springer. The citations are more than 10000 and H-index 61 by Google Scholar.
Research Interest
Quantum Physics, Mathematical Physics, Quantum Information, etc.
Editor
Work Details
Professor
Instituto Politécnico Nacional
Computing Research Center
Mexico
Contribution by Topic Area
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Which articles are now trending?
Research Articles
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
- Properties of Indium Antimonide Nanocrystals as Nanoelectronic Elements
- Unveiling the Hidden Beat: Heart Rate Variability and the Vagus Nerve as an Emerging Biomarker in Breast Cancer Management
- The Role of Supplementation in Enhancing Recovery and Endurance among Fitness Trainers
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
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