跳到主要导航
跳到搜索
跳到主要内容
北京理工大学 首页
English
中文
首页
师资队伍
研究单位
科研成果
奖项
按专业知识、名称或附属进行搜索
查看 Scopus 资料
王 晓锋
机电学院
h-index
215
引用
7
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2009
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(53)
指纹图谱
深入其中 Xiaofeng Wang 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Servo System
100%
Experimental Result
99%
Couplings
95%
Computer Simulation
84%
Transmissions
78%
Dynamic Response
78%
Finite Element Method
74%
Power Transmission
58%
Sliding Mode Control
52%
Microelectromechanical System
52%
Influencing Factor
52%
Natural Frequency
52%
Simulation Result
46%
Dynamic Models
39%
Dynamic Stiffness
36%
Stiffness Matrix
36%
Sliding Mode
36%
Cooperative
36%
Physical Simulation
34%
Control Strategy
34%
Laser Beam
34%
Fuzzy Control
34%
Load Resistance
32%
Optimization Method
32%
State Estimation
32%
Force Boundary Condition
32%
Genetic Algorithm
31%
Young's Modulus
30%
External Disturbance
30%
Ammunition
28%
Static Approach
26%
Alternative Current
26%
Characteristic Load
26%
Micro-Electro-Mechanical System
26%
Simulation Experiment
26%
Initial Velocity
26%
Braking Force
26%
Impact Loads
26%
Agent System
26%
Single Neuron
26%
Electrical Contact
26%
Load Impedance
26%
Cooperative Guidance
26%
Control Point
26%
Braking System
26%
Cooperative Control
26%
Resonance Frequency
26%
Structural Dynamics
26%
Structural Parameter
26%
Output Feedback
26%
Computer Science
Numerical Simulation
34%
Image Segmentation
26%
Classification Algorithm
26%
Control Strategy
26%
YOLOv5
26%
Power Consumption
26%
Detection Algorithm
26%
Detection Accuracy
26%
Enhancement Module
26%
Matching Model
26%
Kalman Filtering
26%
Segmentation Method
26%
Simultaneous localization and mapping
26%
Point Cloud
26%
Pose Estimation
26%
Angular Motion
26%
Impact Dynamics
26%
k-Nearest Neighbors Algorithm
20%
Experimental Result
19%
Measurement Unit
19%
Feature Information
13%
Point Cloud Segmentation
13%
Time-Sensitive
13%
Backbone Network
13%
Complex Environment
13%
Network Structures
13%
Detection Performance
13%
Training Sample
13%
Constrained Environment
13%
Feature Fusion
13%
Utmost Importance
13%
segmentation accuracy
13%
Frequency Domain
10%
Recognition Rate
10%
Numerical Solution
8%
Optimization Problem
8%
Visual Feature
6%
RGB-D Image
6%
multi sensor
6%
Estimation Error
6%
State Estimation
6%
Back End
6%
Odometry
6%
Simplification Rule
6%
Statistical Feature
5%
Domain Feature
5%
Recognition Accuracy
5%
Recognition Algorithm
5%
