National Taipei University of Technology is a
prestigious public university
established in 1911 in Taiwan. It is represented
by 127 scientists in the AD Scientific Index. The
university’s scientists are particularly concentrated in
Engineering & Technology (63 scientists), Natural Sciences (12 scientists), and Social Sciences and Humanities (7 scientists).
* Last 6 Years H Index Rankings
Ranking Based
On Selection :1
Laser material processing
surface and coating
Tribology
Mechanical properties and characterization
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
21
20
0.952
* Last 6 Years H Index Rankings
Ranking Based
On Selection :2
supercritical electroplating process
MEMS
supercapacitor
Energy Saving Technology
Respiration compensation
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
17
15
0.882
* Last 6 Years H Index Rankings
Ranking Based
On Selection :3
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
10
10
1.000
* Last 6 Years H Index Rankings
Ranking Based
On Selection :4
Supercritical Fluids
Electroplating
Material Characterization
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
8
7
0.875
* Last 6 Years H Index Rankings
Ranking Based
On Selection :5
Granular flows
Computational Fluid Dynamics
Discrete Element Simulation
Machine Learning
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
4
4
1.000
N Jeyaprakash
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
21
20
0.952
Laser material processing
surface and coating
Tribology
Mechanical properties and characterization
Ho Chiao Chuang
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
17
15
0.882
supercritical electroplating process
MEMS
supercapacitor
Energy Saving Technology
Respiration compensation
Hua Yi Hsu
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
10
10
1.000
Jorge Sánchez
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
8
7
0.875
Supercritical Fluids
Electroplating
Material Characterization
Cheng Chuan Lin
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
4
4
1.000
Granular flows
Computational Fluid Dynamics
Discrete Element Simulation
Machine Learning