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Mapping the evaluation results between quantitative metrics and meta-synthesis from experts' judgements: evidence from the Supply Chain Management and Logistics journals ranking 期刊论文
SOFT COMPUTING, 2020, 卷号: 24, 期号: 0, 页码: 6227-6243
作者:  Yuan, Lili;  Li, Jianping;  Li, Ruoyun;  Lu, Xiaoli;  Wu, Dengsheng
Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：160/0  |  提交时间：2021/01/16
A Systematic Overview of Operations Research/Management Science Research in Mainland China: Bibliometric Analysis of the Period 2001-2013 期刊论文
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2016, 卷号: 33, 期号: 6, 页码: 1-26
作者:  Wu Dengsheng;  Xie Yongjia;  Dai Qianzhi;  Li Jianping
Adobe PDF(455Kb)  |  收藏  |  浏览/下载：312/0  |  提交时间：2017/08/30
A Bayesian Networks-Based Risk Identification Approach for Software Process Risk: The Context of Chinese Trustworthy Software 期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2016, 卷号: 15, 期号: 6, 页码: 1391-1412
作者:  Li Jianping;  Li Minglu;  Wu Dengsheng;  Dai Qianzhi;  Song Hao
Adobe PDF(699Kb)  |  收藏  |  浏览/下载：261/0  |  提交时间：2017/08/30
Risk integration and optimization of oil-importing maritime system: a multi-objective programming approach 期刊论文
ANNALS OF OPERATIONS RESEARCH, 2015, 期号: 234, 页码: 57-76
作者:  Li, Jianping;  Sun, Xiaolei;  Wang, Fei;  Wu, Dengsheng
Adobe PDF(923Kb)  |  收藏  |  浏览/下载：299/0  |  提交时间：2016/09/08
Ranking the research productivity of business and management institutions in Asia-Pacific region: empirical research in leading ABS journals 期刊论文
SCIENTOMETRICS, 2015, 期号: 105, 页码: 1253-1272
作者:  Wu, Dengsheng;  Li, Minglu;  Zhu, Xiaoqian;  Song, Hongfang;  Li, Jianping
Adobe PDF(934Kb)  |  收藏  |  浏览/下载：249/0  |  提交时间：2016/09/08
An integrated risk measurement and optimization model for trustworthy software process management 期刊论文
INFORMATION SCIENCES, 2012, 卷号: 191, 页码: 14,47-60
作者:  Li, JP;  Li, ML;  Wu, DS;  Song, H
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：497/4  |  提交时间：2012/11/12
Risk Integration  Trustworthy Software  Process Risk Measurement  Risk Control Optimization  Bayesian Network Learning