| Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation——research on regional industrial transformation and upgrading … W Zhu, Y Zhu, H Lin, Y Yu Technological Forecasting and Social Change 170, 120928, 2021 | 55 | 2021 |
| A study of allocative efficiency of PM2. 5 emission rights based on a zero sum gains data envelopment model X Wu, L Tan, J Guo, Y Wang, H Liu, W Zhu Journal of Cleaner Production 113, 1024-1031, 2016 | 54 | 2016 |
| Fixed costs and shared resources allocation in two-stage network DEA W Zhu, Q Zhang, H Wang Annals of Operations Research 278, 177-194, 2019 | 51 | 2019 |
| Data envelopment analysis cross-like efficiency model for non-homogeneous decision-making units: The case of United States companies’ low-carbon investment to attain corporate … W Zhu, Y Yu, P Sun European Journal of Operational Research 269 (1), 99-110, 2018 | 40 | 2018 |
| DEA cross-efficiency evaluation and ranking method based on interval data Y Yu, W Zhu, Q Zhang Annals of Operations Research 278, 159-175, 2019 | 35 | 2019 |
| Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs Y Li, W Hou, W Zhu, F Li, L Liang Annals of Operations Research 304, 233-261, 2021 | 34 | 2021 |
| Effects of in-house production on channel structures in a co-opetitive supply chain under supply uncertainty LIN Feng, QIN Xibei, PU Xujin, ZHU Weiwei, Z Xingxuan Omega 103, 102426, 2021 | 28 | 2021 |
| Network-like DEA approach for environmental assessment: Evidence from US manufacturing sectors Y Yu, W Zhu, Q Shi, Q Zhang Journal of Cleaner Production 139, 277-286, 2016 | 27 | 2016 |
| China’s regional environmental efficiency evaluation: a dynamic analysis with biennial Malmquist productivity index based on common weights W Zhu, Y Zhu, Y Yu Environmental Science and Pollution Research 27, 39726-39741, 2020 | 25 | 2020 |
| 我国新农村信息化建设的研究现状及发展趋势 朱卫未， 孙秀成 南京邮电大学学报: 社会科学版 12 (3), 18-24, 2010 | 17 | 2010 |
| Interval efficiency of two-stage network DEA model with imprecise data W Zhu, Z Zhou INFOR: Information Systems and Operational Research 51 (3), 142-150, 2013 | 13 | 2013 |
| Socioeconomic driving factors of PM2. 5 emission in Jing-Jin-Ji region, China: a generalized Divisia index approach Y Yu, X Zhou, W Zhu, Q Shi Environmental Science and Pollution Research 28, 15995-16013, 2021 | 11 | 2021 |
| Dealing with undesirable outputs in DEA: An aggregation method for a common set of weights W Zhu, M Xu, CP Cheng Journal of the Operational Research Society 71 (4), 579-588, 2020 | 11 | 2020 |
| 基于模糊聚类分析的入侵检测方法 朱卫未， 王卫平， 梁樑 系统工程与电子技术 28 (3), 474-477, 2006 | 11 | 2006 |
| Should drivers cooperate? Performance evaluation of cooperative navigation on simulated road networks using network DEA NS Summerfield, AV Deokar, M Xu, W Zhu Journal of the Operational Research Society 72 (5), 1042-1057, 2021 | 10 | 2021 |
| Resilience assessment of international cobalt trade network Y Yu, D Ma, W Zhu Resources Policy 83, 103636, 2023 | 8 | 2023 |
| Identifying the driving factors of water consumption from water-energy-food nexus in the Yangtze River Delta region, China Y Yu, C Zhang, W Zhu, S Park, Q Shi Environmental Science and Pollution Research 28 (35), 48638-48655, 2021 | 8 | 2021 |
| Serial network DEA models with a single intermediate measure W Zhu, ZY Miao, X Pu Journal of the Operational Research Society 72 (5), 1168-1173, 2021 | 8 | 2021 |
| 新时代下物联网产业的发展困境与推进原则——工信部《 物联网 “十二五” 发展规划》 解读 叶美兰， 朱卫未 南京邮电大学学报: 社会科学版 14 (1), 44-48, 2012 | 8 | 2012 |
| 我国物联网产业发展环境分析 朱卫未， 于娱 南京邮电大学学报: 社会科学版 13 (4), 28-35, 2011 | 8 | 2011 |
Yu YuNanjing Audit UniversityVerified email at mail.mcgill.ca
