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		题名	作者	年代	出处	被引量
	1	Singapore’s Internet shoppers and their impact on traditional shopping patterns显示文摘	Loo Lee Sim Sze Miang Koi	2002	Journal of Retailing and Consumer Services2002，，2：	1
	2	A New Method for the Determination of the Unfrozen Matrix Concentration and the Maximal Freeze-concentration显示文摘	Jens Liesebach Thomas Rades Miang Lim	2003	Thermochimica Acta2003，401，：	1
	3	Singapore' s Internet shoppers and their impact on traditional shopping patterns显示文摘	SIM Loo Lee KOI Sze Miang	2002	Journal of Retailing and Con- sumer Services2002，9，2：	1
	4	Overview and analysis of safety management studies in the construction industry显示文摘	ZHOU Zhi-peng Goh Yang Miang LI Qi-ming	2015	Safety Science2015，72，：	1
	5	A New Method for theDetermination of the Unfrozen Matrix Concentration and the Maxi-mal Freeze - concentration 显示文摘	Jens Liesebach Thomas Rades Miang Lim	2003	Thermochimica acta2003，401，：	1
	6	A fluorescent orthotopic bone metastasis model of human prostate cancer显示文摘	Yang Miang P Sun FX	1999	Cancer Res1999，59，：	1
	7	Territorial Arterial Spin Labeling in the Assessment of Collateral Circulation: Comparison With Digital Subtraction Angiography显示文摘	Soke Miang Chng Esben Thade Petersen Ivan Zimine Yih-Yian Sitoh C C. Tchoyoson Lim Xavier Golay	2008	Stroke2008，，12：	1
	8	Overview and analysis of safety management studies in the construction industry显示文摘	ZHOU Zhipeng GOH Yang Miang LI Qiming	2015	Safety Science2015，72，：	1
	9	A new approach to criteria for health risk assessment显示文摘	Jeffery Spickett Dianne Katscherian Yang Miang Goh	2011	Environmental Impact Assessment Review2011，，1：	1
	10	Methodological application of system dynamics for evaluating traffic safety policy显示文摘	Yang Miang Goh Peter E D Love	2012	Safety Science2012，50，7：	1
	11	Analyzing construction safety through time series methods显示文摘The construction industry produces a large amount of data on a daily basis. However, existing data sets have not been fully exploited in analyzing the safety factors of construction projects. Thus, this work describes how temporal analysis techniques can be applied to improve the safety management of construction data. Various time series (TS) methods were adopted for identifying the leading indicators or predictors of construction accidents. The data set used herein was obtained from a large construction company that is based in Singapore and contains safety inspection scores, accident cases, and project-related data collected from 2008 to 2015. Five projects with complete and sufficient data for temporal analysis were selected from the data set. The filtered data set contained 23 potential leading indicators (predictors or input variables) of accidents (output or dependent variable). TS analyses were used to identify suitable accident predictors for each of the five projects. Subsequently, the selected input variables were used to develop three different TS models for predicting accident occurrences, and the vector error correction model was found to be the best model. It had the lowest root mean squared error value for three of the five projects analyzed. This study provides insights into how construction companies can utilize TS data analysis to identify projects with high risk of accidents.	Houchen CAO Yang Miang GOH	2019	Frontiers of Engineering Management2019，6，2：	0

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