SCI、EI和ISTP收录号的查询方法（总结）

一：SCI收录号查询方法
SCI的“收录检索号”很多人人填文献记录中的IDS Number，但每种期刊每一期上的文献IDS
Number都相同，IDS Number并不是SCI的收录号。在ISI Web of Science中，IDS number
的解释为：Document Solution? number. This number uniquely identifies the journ
al and issue. It is used to order the full text of the article from Document S
olution.
正确地获取SCI收录号的方法是：
（1）进入http://isiknowledge.com/
选择web of science，点“go”
（2）Select a search option选“ADVANCED SEARCH”
按照右边Field Tags和 Booleans提示，在输入方框中输入检索信息，比如
AU=fang AND TI=capacitor，然后点击“SEARCH”。
（3）点击“RESULTS”里的检索结果数字链接，如“3”，打开自己发表论文题目的链接,
此时在Full record（包括Title、Author、Source... IDS number等）中有
IDS Number: 226QR ，这个IDS number 并不是SCI的收录号。
（提醒：注意TI里的关键词一定要与你发表论文的词语匹配，包括单复数。）
（4）点击右边“Output This Record”下面的“SAVE”按钮，“Select a data format
for the saved file.”有四个选项，选择HTML格式。
（5）选择HTML格式后，点击下面按钮“CONTINUE”,出现文件下载对话框（默认文件名为
“savedrecs.html”），点“保存为”，保存到自选的目录文件夹里。
（6）打开保存的HTML格式网页，或者下载完毕后直接打开保存的文件，这时得到的就是包
含有形如UT ISI：000250604100008的SCI收录号的记录格式。
因为SCI/ISTP由同一家数据商经营,设在同一个检索平台上,所以具有完全相同的检索界面，所以获取ISTP的方法与此完全相同。


UT ISI：000250604100008收录号的记录格式举例

FN ISI Export Format
VR 1.0
PT J
AU Fang, DM
....
AF ...
....
TI Surface ...
SO MJ
SN 0026-2692
PD AUG-SEP
PY 2007
VL 38
IS 8-9
BP 855
EP 859
UT ISI:000250604100008
ER
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EF


二：EI收录号查询方法
进入图书馆网站，电子资源里点击“EI-village2”
http://www.engineeringvillage2.org.cn/
在“SEARCH FOR”中输入主题词，并在“SEARCH IN”中限制。如果是搜索姓名，由于国内
外期刊在发表时姓名写法不太一样，比如张三丰，有San-Feng Zhang, Zhang Sanfeng, S
.-F zhang等，如果检索自己文章收录结果和自己发表的文章数目不一样，注意姓名检索的
拼法。在“Search Results”里点击“Detailed”，“Accession number”就是文章收录
号。

有些人说会议文章被SCI收录，其实这是不对的，会议是ISTP收录，不会被SCI收录，即使会议的文章被SCI期刊收录，ISI查询检索时也是ISTP的标志。

现在补充一下如何区分SCI和ISTP检索。

ISTP检索现在已经改名为CPCI-S了 ，习惯上还是叫ISTP。
SCI和ISTP都是属于ISI数据库，因此仅仅通过“UT ISI:000252460300025 ”之类并不能区分是SCI或ISTP检索，举个例子，比如虫友ggbond 的帖子：
http://emuch.net/bbs/viewthread.php?tid=1218179&fpage=2

区分是SCI还是ISTP检索看“GA BHE43 ”这栏，“UT ISI”这栏是区分不了的。
“GA BHE43 ”这栏里的“BHE43”字母在前数字在后就是ISTP检索，如果数字在前字母在后就是SCI检索。当然要注意一个特殊的情况，有些会议文章被期刊收录后，即使该期刊是SCI检索，查询检索时“GA BHE43 ”这栏里的“BHE43”情形还是和ISTP检索类似，即字母在前数字在后。

FN ISI Export Format
VR 1.0
PT C
AU Xu, YJ
Hu, GD
Chen, ZJ
AF Xu, Yuanjin
Hu, Guangdao
Chen, Zhijun
ED Lei, J; Yu, J; Zhou, SG
TI Application of spectral exhaustive method for object identification and mapping using EO-1 hyperion data
SO FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS
LA English
DT Proceedings Paper
CT 4th International Conference on Fuzzy Systems and Knowledge Discovery
CY AUG 24-27, 2007
CL Haikou, PEOPLES R CHINA
SP Hainan Univ, IEEE Reliabil Soc, Asia Pacific Neural Network Assembly
DE hyperspectral image; the spectral exhaustive method (SEM); object identification
ID HYPERSPECTRAL DATA; MINERALS
AB Due to the uncertainty of thresholds, different results are often obtained in object identification and classification of the same hyperspectral image. This paper presents a new approach to object identification based on the spectral exhaustive method (SEM). Each pixel spectrum in hyperspectral imagery has an optimal matching spectrum (OMS) among all possible spectra that are correlated with the study area by an algorithm for computing the maximal angle cosine or correlation coefficient. Hyperspectral image is mapped using OMS with different colors so that all pixels can be identified. Thus, the image becomes a color map in which those pixels corresponding to the same OMS have the same color. A gray map is created by calculating the correlation coefficient between each pixel spectrum and its OMS to determine the degree of match. This approach requires all possible reference spectra, mostly from the spectral library (built by us), and various pretreatments of the hyperspectral data. This approach was applied to an EO-1 Hyperion hyperspectral image of the Pulang area, Zhongdian county, Yunnan province, China, to obtain identification maps of the study area. Examination of the outlined objects in the map indicated that the SEM-based approach is effective.
C1 [Xu, Yuanjin; Hu, Guangdao; Chen, Zhijun] China Univ Geosci, Inst Math Geol & Remote Sensing Geol, Wuhan 430074, Peoples R China.
RP Xu, YJ, China Univ Geosci, Inst Math Geol & Remote Sensing Geol, Wuhan 430074, Peoples R China.
NR 8
TC 0
PU IEEE COMPUTER SOC
PI LOS ALAMITOS
PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
PY 2007
BP 124
EP 128
PG 5
SC Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
GA BHE43
UT ISI:000252460300025
ER

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