| Handbook of partial least squares V Vinzi Springer-Verlag Berlin Heidelberg, 2010 | 2345 | 2010 |
| Handbook of partial least squares: Concepts, methods and applications V Esposito Vinzi, WW Chin, J Henseler, H Wang Heidelberg, Dordrecht, London, New York: Springer, 2010 | 860 | 2010 |
| Handbook of partial least squares: Concepts, methods and applications WW Chin, J Henseler, H Wang Springer-Verlag Berlin Heidelberg, 2010 | 609 | 2010 |
| An effective intrusion detection framework based on SVM with feature augmentation H Wang, J Gu, S Wang Knowledge-Based Systems 136, 130-139, 2017 | 291 | 2017 |
| Partial least-squares regression-method and applications H Wang National defense industry press, Beijing, 202-206, 1999 | 248 | 1999 |
| A novel approach to intrusion detection using SVM ensemble with feature augmentation J Gu, L Wang, H Wang, S Wang Computers & Security 86, 53-62, 2019 | 169 | 2019 |
| Partial least-squares regression-linear and nonlinear methods HW Wang, ZB Wu, J Meng National Defense Industry Press, Beijing, 2006 | 127 | 2006 |
| Perspectives on partial least squares VE Vinzi, WW Chin, J Henseler, H Wang Handbook of partial least squares: Concepts, methods and applications, 1-20, 2009 | 112 | 2009 |
| Handbook of partial least squares J Henseler, G Fassott Concepts, methods and, 2010 | 110 | 2010 |
| CIPCA: Complete-information-based principal component analysis for interval-valued data H Wang, R Guan, J Wu Neurocomputing 86, 158-169, 2012 | 93 | 2012 |
| Multiple linear regression modeling for compositional data H Wang, L Shangguan, J Wu, R Guan Neurocomputing 122, 490-500, 2013 | 89 | 2013 |
| Uncovering the culprits of air pollution: evidence from China's economic sectors and regional heterogeneities Y Wei, J Gu, H Wang, T Yao, Z Wu Journal of Cleaner Production 171, 1481-1493, 2018 | 78 | 2018 |
| A hyperspherical transformation forecasting model for compositional data H Wang, Q Liu, HMK Mok, L Fu, WM Tse European journal of operational research 179 (2), 459-468, 2007 | 77 | 2007 |
| Aggregating multiple types of complex data in stock market prediction: A model-independent framework H Wang, S Lu, J Zhao Knowledge-Based Systems 164, 193-204, 2019 | 74 | 2019 |
| Promoting inclusive water governance and forecasting the structure of water consumption based on compositional data: A case study of Beijing Y Wei, Z Wang, H Wang, T Yao, Y Li Science of the Total Environment 634, 407-416, 2018 | 69 | 2018 |
| Introduction to SIMCA-P and its application Z Wu, D Li, J Meng, H Wang Handbook of partial least squares: concepts, methods and applications, 757-774, 2010 | 61 | 2010 |
| An evaluation for VR glasses system user experience: The influence factors of interactive operation and motion sickness M Yu, R Zhou, H Wang, W Zhao Applied ergonomics 74, 206-213, 2019 | 60 | 2019 |
| Spatial–seasonal characteristics and critical impact factors of PM2.5 concentration in the Beijing–Tianjin–Hebei urban agglomeration T Huang, Y Yu, Y Wei, H Wang, W Huang, X Chen PLoS one 13 (9), e0201364, 2018 | 57 | 2018 |
| What contributes to success in MOBA games? An empirical study of defense of the ancients 2 B Xia, H Wang, R Zhou Games and Culture 14 (5), 498-522, 2019 | 54 | 2019 |
| Compositional data techniques for forecasting dynamic change in China’s energy consumption structure by 2020 and 2030 Y Wei, Z Wang, H Wang, Y Li Journal of Cleaner Production 284, 124702, 2021 | 50 | 2021 |
