2017年度计算机科学各领域热点词汇

作者：上海交通大学Acemap团队
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2018伊始，您的自然基金是否已经写好了呢？您是否已经决定2018年的研究方向了呢？在决定方向的重要时刻，您一定想要了解当下计算机科学领域最受关注、最重要的研究方向是什么吧？那么，让我们跟随Acemap团队，一起看看2017年IEEE、ACM的热点词汇都有哪些吧~

Acemap数据库收集了全球范围的重要出版场所（包括期刊和会议）发表的论文，共计1.27亿篇论文，涉及1.15亿名作者。

Acemap团队分析2017年 IEEE的论文14万余篇，ACM的论文9万余篇，统计出计算机科学领域下的人工智能、计算机网络与无线通信、计算机图形学与多媒体等十个领域的年度热点词汇。本文仅截取各领域列表中的前十个热点词汇。完整列表请点击“阅读原文”。

2017年度

计算机科学热点词汇(总)

关键词

比率(在多少论文中出现)

Neural Networks

2.31%

Wireless Networks

1.37%

Large Scale

1.02%

Energy Efficiency

1.01%

Convolutional Networks

0.95%

Deep Learning

0.79%

Wireless Sensor Network

0.62%

Social Networking

0.55%

Gaussians

0.53%

Machine Learning

0.5%

Big Data

0.47%

Cellular Networks

0.46%

Resource Allocation

0.43%

Modulators

0.43%

Low Power

0.43%

High Performance

0.43%

Reinforcement Learning

0.41%

Data Centers

0.41%

Software Defined

0.41%

Network Based

0.41%

2017年度

计算机科学各领域热点词汇

1、计算机体系结构/并行与分布计算/存储系统

关键词

比率

Energy Efficiency

2.58%

Low Power

1.96%

High Performance

1.86%

Neural Networks

1.85%

Large Scale

1.24%

Big Data

1%

Network On Chips

1%

Fault Tolerance

0.94%

FPGA Based

0.88%

High Level

0.87%

2、计算机网络与无线通信

关键词

比率

Wireless Networks

7.03%

Energy Efficiency

3.1%

Wireless Sensor Network

2.84%

Cellular Networks

2.69%

Cognitive Radio

2.25%

Radio Networks

2.09%

Heterogeneous Networks

2.02%

Resource Allocation

2%

Software Defined

1.96%

Mobile Networks

1.89%

3、网络与信息安全

关键词

比率

Access Control

1.98%

Privacy Preservation

1.95%

Wireless Networks

1.92%

Wireless Sensor Network

1.31%

Side Channel

1.08%

Cloud Computing

1.02%

Mobile Device

0.93%

Authentication Schemes

0.84%

Attribute Based

0.84%

Key Exchange

0.79%

Software Defined

0.79%

4、软件工程/系统软件/程序设计语言

关键词

比率

Empirical Studies

2.09%

Web Services

1.92%

Software Engineering

1.55%

Software Development

1.51%

Model Checking

1.37%

Service Composition

1.3%

Large Scale

1.22%

Open Source

1.14%

Service Based

1.05%

Source Code

1.02%

5、数据库/数据挖掘/内容检索

关键词

比率

Social Networking

1.91%

Information Retrieval

1.6%

Large Scale

1.47%

Social Media

1.33%

Big Data

1.02%

Neural Networks

0.92%

Topic Modeling

0.81%

Learning To Rank

0.81%

Time Series

0.78%

Web Search

0.75%

6、计算机科学理论

关键词

比率

Lower Bounds

2.78%

Faster

1.21%

Planar Graphs

1.17%

Approximation Algorithms

1.12%

Algebras

0.87%

Wireless Networks

0.85%

CSP

0.85%

Tight Bounds

0.81%

Model Checking

0.79%

Free Graphs

0.72%

Polynomial Time

0.72%

7、计算机图形学与多媒体

关键词

比率

Neural Networks

4.02%

Speech Recognition

1.8%

Convolutional Networks

1.78%

Image Based

1.56%

Compressive Sensing

1.05%

Low Rank

0.92%

Gaussians

0.92%

Super Resolution

0.91%

Recurrent Neural Network

0.87%

Quality Assessment

0.86%

8、人工智能

关键词

比率

Neural Networks

5.07%

Convolutional Networks

2.15%

Deep Learning

1.75%

Reinforcement Learning

1.22%

Gaussians

1.13%

Large Scale

0.99%

Pose Estimation

0.8%

Object Detection

0.79%

Recurrent Neural Network

0.73%

Supervised Learning

0.68%

9、人机交互与普适计算

关键词

比率

Social Media

1.5%

Emotion Recognition

1.13%

Mobile Device

0.97%

Visually Impaired

0.94%

Virtual Reality

0.86%

Augmented Reality

0.86%

Social Networking

0.78%

User Interface

0.7%

Mobile Phone

0.67%

Large Scale

0.67%

10、交叉/综合/新兴

关键词

比率

Neural Networks

2.02%

Deep Learning

1.94%

Gene Expression

1.74%

Large Scale

1.25%

Protein Interactions

1.25%

Machine Learning

1.17%

RNA

1.09%

Network Based

1.05%

Convolutional Networks

1.01%

Expression Data

0.97%

DNA

0.97%

2017年度

IEEE、ACM热点词汇

IEEE热点词汇

关键词

比率

Neural Networks

2.58%

Wireless Networks

1.77%

Energy Efficiency

1.4%

Convolutional Networks

1.13%

Large Scale

1.01%

Deep Learning

0.81%

Cellular Networks

0.72%

Wireless Sensor Network

0.7%

Modulators

0.69%

Low Power

0.66%

Cognitive Radio

0.65%

Resource Allocation

0.64%

Radio Networks

0.59%

Software Defined

0.56%

Data Centers

0.56%

Heterogeneous Networks

0.56%

Gaussians

0.55%

Mimo Systems

0.55%

Network Based

0.55%

Big Data

0.53%

ACM热点词汇

关键词

比率

Neural Networks

1.38%

Wireless Networks

1.13%

Large Scale

1.07%

Energy Efficiency

0.7%

Social Networking

0.68%

Wireless Sensor Network

0.66%

Machine Learning

0.54%

Deep Learning

0.48%

Social Media

0.47%

Big Data

0.47%

Convolutional Networks

0.45%

High Performance

0.45%

Multi Agent

0.38%

Reinforcement Learning

0.37%

Gaussians

0.37%

Based Algorithm

0.36%

Cloud Computing

0.34%

Preserving Privacy

0.33%

Privacy Preservation

0.32%

Mobile Device

0.32%

— 完 —

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