1. Name: Lijun Wang
2. Job title: Prof. Dr.
3. Research background: signal processing, image processing and machine learning.
4. Publication list:
a. Effects of injection mode on the mixture formation and combustion performance of the hydrogen internal combustion engine. Energy 2018, 147, 715-728, doi:10.1016/j.energy.2018.01.068.
b. Effects of H<sub>2</sub> addition on combustion and exhaust emissions in a diesel engine. Fuel 2015, 139, 190-197, doi:10.1016/j.fuel.2014.08.057.
c. Bibliometric analysis of prognostics and health management (PHM) in hydrogen fuel cell engines. International Journal of Hydrogen Energy 2022, 47, 34216-34243,doi:10.1016/j.ijhydene.2022.08.024.
5. Author Biography: Lijun Wang received a B.S. degree from the North University of China, Taiyuan, China, in 1993, an M.S. degree from Henan Agricultural University, Zhengzhou, China, in 2003, and a Ph.D. degree from PLA Information Engineering University, Zhengzhou, in 2010. Since 2010, she has been a Professor with the School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, where she is currently the Dean of the School of Mechanical Engineering. She has led approximately 20 important scientific research projects. She has authored over 60 scientific papers in international journals and conferences. Her current research interests include signal processing, image processing and machine learning, fault diagnosis, and intelligent control.
1. Name: Lijun Wang
2. Job title: Prof. Dr.
3. Research background: signal processing, image processing and machine learning.
4. Publication list:
a. Effects of injection mode on the mixture formation and combustion performance of the hydrogen internal combustion engine. Energy 2018, 147, 715-728, doi:10.1016/j.energy.2018.01.068.
b. Effects of H<sub>2</sub> addition on combustion and exhaust emissions in a diesel engine. Fuel 2015, 139, 190-197, doi:10.1016/j.fuel.2014.08.057.
c. Bibliometric analysis of prognostics and health management (PHM) in hydrogen fuel cell engines. International Journal of Hydrogen Energy 2022, 47, 34216-34243,doi:10.1016/j.ijhydene.2022.08.024.
5. Author Biography: Lijun Wang received a B.S. degree from the North University of China, Taiyuan, China, in 1993, an M.S. degree from Henan Agricultural University, Zhengzhou, China, in 2003, and a Ph.D. degree from PLA Information Engineering University, Zhengzhou, in 2010. Since 2010, she has been a Professor with the School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, where she is currently the Dean of the School of Mechanical Engineering. She has led approximately 20 important scientific research projects. She has authored over 60 scientific papers in international journals and conferences. Her current research interests include signal processing, image processing and machine learning, fault diagnosis, and intelligent control.