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Visual analysis method for abnormal passenger flow on urban metro network
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[Zhou, Feifei]Beijing Univ Technol, Fac Informat Technol, Beijing Artificial Intelligence Inst, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
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WOS:000547220200002
Language
English
Corresponding authors email
zhangyong2010@bjut.edu.cn1441650574@qq.com
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Source ：
JOURNAL OF VISUALIZATION
ISSN： 1343-8875
Year： 2020
Issue： 6
Volume： 23
Page： 1035-1052
1 . 7 0 0
JCR@2022
ESI Discipline： COMPUTER SCIENCE;
ESI HC Threshold：132
Cited Count：
WoS CC Cited Count： 0
SCOPUS Cited Count： 2
ESI Highly Cited Papers on the List： 0 Unfold All
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Chinese Cited Count：
30 Days PV： 6
Affiliated Colleges：
信息学部
城市建设学部
信息学部 计算机学院
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