| Spatial-temporal heterogeneity of green innovation in China X Zhou, Y Yu, F Yang, Q Shi Journal of Cleaner Production 282, 124464, 2021 | 72 | 2021 |
| Two-stage DEA model with additional input in the second stage and part of intermediate products as final output Y Yu, Q Shi Expert Systems with Applications 41 (15), 6570-6574, 2014 | 71 | 2014 |
| Impact of environmental regulation on green growth in China’s manufacturing industry–based on the Malmquist-Luenberger index and the system GMM model Y Cao, J Liu, Y Yu, G Wei Environmental Science and Pollution Research 27 (33), 41928-41945, 2020 | 65 | 2020 |
| 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 | 53 | 2021 |
| 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 |
| 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 | 26 | 2020 |
| Spatial decomposition analysis of water intensity in China C Zhang, Y Wu, Y Yu Socio-Economic Planning Sciences 69, 100680, 2020 | 24 | 2020 |
| Assessment of US firm-level climate change performance and strategy Y Yu, DD Wang, S Li, Q Shi Energy Policy 92, 432-443, 2016 | 23 | 2016 |
| Evaluation of the allocation performance in a fashion retail chain using data envelopment analysis H Huang, S Li, Y Yu The Journal of The Textile Institute 110 (6), 901-910, 2019 | 17 | 2019 |
| 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 |
| 产学研协同创新中知识共享的微分对策模型 于娱， 施琴芬 中国管理科学, 684-690, 2013 | 11 | 2013 |
| Resilience assessment of international cobalt trade network Y Yu, D Ma, W Zhu Resources Policy 83, 103636, 2023 | 10 | 2023 |
| 基于知识图谱的国内外颠覆式创新研究对比分析 李倩， 于娱， 施琴芬 科技管理研究 40 (15), 9-19, 2020 | 9 | 2020 |
| DEA model for partial centralization resource allocation among independent subset of DMUs W Zhu, Y Huang, Y Yu Computers & Industrial Engineering 176, 109013, 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 |
| 产学研合作中知识转移的系统动力学建模与仿真 江俊桦， 施琴芬， 于娱 情报科学 32 (8), 50-55, 2014 | 8 | 2014 |
| 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 |
| A DEALG methodology for prediction of effective customers of internet financial loan products W Zhu, B Liu, Z Lu, Y Yu Journal of the Operational Research Society 72 (5), 1033-1041, 2021 | 7 | 2021 |
| 高校科研团队内部隐性知识共享绩效实证研究 于娱， 施琴芬， 朱卫未 科学学与科学技术管理 34 (10), 21-30, 2013 | 7 | 2013 |
