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查看斯高帕斯 (Scopus) 概要
陳 奕廷
助理教授
資訊科學與工程研究所
https://orcid.org/0000-0002-7906-0828
電話
03-5712121 # 56619
電子郵件
ychen
nycu.edu
tw
網站
https://sites.google.com/site/yitingchen0524/
h-index
h10-index
h5-index
1009
引文
14
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
1006
引文
14
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
518
引文
11
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2012
2024
每年研究成果
概覽
指紋
網路
計畫
(4)
研究成果
(41)
類似的個人檔案
(6)
指紋
查看啟用 Yi-Ting Chen 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Computer Science
Magnetic Hard Disk
100%
Artificial Intelligence
78%
Annotation
75%
Experimental Result
61%
Driving Behavior
61%
Scene Understanding
55%
Attention (Machine Learning)
48%
Point Cloud
46%
Object Detection
45%
Semisupervised Learning
40%
Autonomous Driving
40%
Image Segmentation
36%
Decision-Making
36%
Intelligent Transportation System
36%
Visual Observation
36%
Collected Data
36%
Autonomous Navigation
36%
Classification Algorithm
32%
Supervised Learning
32%
Computer Vision
32%
Graph Convolutional Network
32%
3D Object Detection
30%
Interactive Traffic
30%
Average Performance
24%
Object Instance
24%
obstacle detection
24%
tactile sensor
24%
Evaluation Metric
24%
Instrumented Vehicle
24%
Value at Risk
24%
Image Processing Technique
24%
Problem Formulation
24%
Computational Cost
24%
Recurrent Network
24%
Visual Odometry
24%
Neural Network
24%
Frequency Component
24%
Analysis Framework
24%
Multimodality
24%
Baseline Model
24%
Training Data
24%
Urban Environment
24%
Classification Performance
24%
Autonomous System
24%
Temporal Action Localization
24%
Temporal Graph
24%
Graph Neural Network
24%
Neural Representation
24%
Segmentation Map
24%
Scene Analysis
24%
Keyphrases
Driving Dataset
75%
Driving Behavior
61%
Risk Object Identification
61%
Risk Assessment
55%
Driver Behavior
54%
3D Object Detection
53%
Self-driving Cars
52%
Hydrogen Generation
48%
Road Scene Understanding
48%
Semi-supervised Learning
48%
Traffic Scene
43%
3D Tracking
40%
Halftoning
39%
Naturalistic Driving
36%
Behavior Reasoning
36%
Causal Reasoning
36%
State-of-the-art Techniques
32%
Computer Vision
32%
Supervised Learning
32%
Driver Behavior Detection
32%
Intelligent Transportation Systems
32%
Point Cloud
32%
Artificial Intelligence
32%
Intelligent Driving System
30%
High-frequency Data
30%
Learning-based
29%
Graph Convolutional Network
29%
Unlabeled Data
28%
3D Objects
28%
Labeled Data
28%
Causal Inference
27%
Human-driven
25%
Aqueous Phase
24%
Sulfur-doped Graphene
24%
Dynamic Scene Analysis
24%
Gold Nanoshells
24%
Risk Measures
24%
Image Region
24%
Jump Noise
24%
Online Action Detection
24%
Training Data
24%
Moment Test
24%
Low Volatility
24%
Vision Machine
24%
Monocular Localization
24%
Portfolio Trading
24%
Road Intersection Detection
24%
Edge Prediction
24%
S-cone
24%
Active Perception
24%
