分享一些做课题调查的方法

马上就要毕业了，把自己做课题调查的方法分享一下。

拿到一个新的研究课题时，可以先去知网之类的地方搜索一些国内硕博士的毕业论文，通过他们的论文可以先对课题有一个初步的认知。但是再往后就建议选择在google scholar上搜索一些外文论文了，当然这里不是随便乱搜索，而是要找领域内的知名期刊、会议论文来看，那么如何知道什么样的期刊、会议是优秀的期刊、会议呢？有两种途径：

1、中国计算机学会（CCF）推荐的期刊和会议目录，以我做的多媒体领域为例，点击这里就能看到CCF给出的计算机图形学与多媒体领域的推荐期刊和会议目录

2、直接利用Google scholar的上的统计指标选择排名靠前的期刊和会议目录，有一个优点在于时效性更好，还是以多媒体领域为例，点击这里就能看到多媒体领域排名前二十的期刊和会议，如下

但是还有一个问题，搜索国内的硕博士论文也好，搜索外文的优质期刊、会议论文也好，总是难以梳理清楚整个研究课题的发展脉络，比如最早是谁研究了这个课题？有哪些人在这个课题做的很深、很受认可？目前都有哪几个研究方向？有哪几篇论文称得上是必读论文？这个时候就需要做领域调查中的引文分析步骤了。
这里介绍基于SCI数据库和histcite软件做引文分析的步骤。
所谓SCI数据库其实就是web of science数据库（webofknowledge.com）了，访问需要有账号和密码，一般都是高校图书馆有订购，如果学校没有订购数据库，就需要自己去淘宝上买一个账号了，很便宜，十块就能搞定，直接搜索“web of science”即可
登录了数据库（网站）之后就是检索界面，这一点和知网什么的很相似，为了搜索结果更精确，需要进行“精炼”，其实就是筛选数据库、发表年份、文献类型等等。精炼之后可以将全部的搜索结果导出以供下一步分析。在网页下方有导出选项，选项如下

这里以QoE这个课题为例，看看导出的是什么东西。打开导出的纯文本，内容如下

FN Thomson Reuters Web of Knowledge™
VR 1.0
PT J
AU Shao, F
   Lin, WS
   Wang, SS
   Jiang, GY
   Yu, M
AF Shao, Feng
   Lin, Weisi
   Wang, Shanshan
   Jiang, Gangyi
   Yu, Mei
TI Blind Image Quality Assessment for Stereoscopic Images Using Binocular
   Guided Quality Lookup and Visual Codebook
SO IEEE TRANSACTIONS ON BROADCASTING
LA English
DT Article
DE Phase-tuned quality lookup (PTQL); phase-tuned visual codebook (PTVC);
   binocular energy response; blind image quality assessment (BIQA); 3-D
   visual experience (3-D-QoE)
ID VIDEO; ENERGY; INDEX; INFORMATION; PERCEPTION; SIMILARITY; MODELS;
   DOMAIN
AB The field of assessing three-dimensional (3-D) visual experience is challenging. In this paper, we propose a new blind image quality assessment for stereoscopic images by using binocular guided quality lookup and visual codebook. To be more specific, in the training stage, we construct phase-tuned quality lookup (PTQL) and phase-tuned visual codebook (PTVC) from the binocular energy responses based on stimuli from different spatial frequencies, orientations, and phase shifts. In the test stage, blind quality pooling can be easily achieved by searching the PTQL and PTVC, and the quality score is obtained by averaging the largest values of all patch's quality. Experimental results on three 3-D image quality assessment databases demonstrate that in comparison with the most related existing methods, the devised algorithm achieves high consistency alignment with subjective assessment and low-complexity pooling.
C1 [Shao, Feng; Wang, Shanshan; Jiang, Gangyi; Yu, Mei] Ningbo Univ, Fac Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China.
   [Lin, Weisi] Nanyang Technol Univ, Sch Comp Engn, Ctr Multimedia & Network Technol, Singapore 639798, Singapore.
RP Shao, F (reprint author), Ningbo Univ, Fac Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China.
EM shaofeng@nbu.edu.cn
FU Natural Science Foundation of China [61271021, 61071120, U1301257]; K.
   C. Wong Magna Fund of Ningbo University
FX This work was supported in part by the Natural Science Foundation of
   China under Grant 61271021, Grant 61071120, and Grant U1301257, and in
   part by the K. C. Wong Magna Fund of Ningbo University.
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NR 57
TC 0
Z9 0
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 0018-9316
EI 1557-9611
J9 IEEE T BROADCAST
JI IEEE Trans. Broadcast.
PD JUN
PY 2015
VL 61
IS 2
BP 154
EP 165
DI 10.1109/TBC.2015.2402491
PG 12
WC Engineering, Electrical & Electronic; Telecommunications
SC Engineering; Telecommunications
GA CK1SV
UT WOS:000355988500003
ER
……..

看似很复杂，其实就是每一篇论文的信息，包含作者、摘要、发表地、参考文献等全部信息。
现在就轮到HistCite软件上场了，它将基于这个导出文件给出引文分析结果。所谓HistCite其实就是history of cite，即引文历史，或者叫引文图谱分析软件。下载安装非常简单，打开后是一个IE浏览器的界面

点击File-Add File就可以将刚才导出的文件导入HistCite，这时就会自动生成下面的列表

这是基于我的QoE研究课题的可视化分析结果。每一个圆圈代表一篇文章，圆圈里的数字代表文章编号，圆圈越大代表引用数越高，而圆圈之间的连线则代表引用关系，图片左边还有时间信息。读这张图我就可以得出如下信息了：关于QoE的研究始于2006年；研究方向比较集中，但是也有很多创新的方向一直在被提出；编号271、267、88等几篇论文是必读论文……因为我这里直接以QoE所谓搜索关键词，所以其实搜索结果太笼统，不是很好，但依然能看到HistCite做引文分析的强大功能。
最后送上几个参考链接：
引文分析软件histcite简介

HistCite软件导入文献教程

中科大文献管理与信息分析在线课程

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