| Blockchain-based digital forensics investigation framework in the internet of things and social systems S Li, T Qin, G Min IEEE Transactions on Computational Social Systems 6 (6), 1433-1441, 2019 | 112 | 2019 |
| An integrated method for anomaly detection from massive system logs Z Liu, T Qin, X Guan, H Jiang, C Wang IEEE Access 6, 30602-30611, 2018 | 69 | 2018 |
| A data streaming method for monitoring host connection degrees of high-speed links P Wang, X Guan, T Qin, Q Huang IEEE Transactions on Information Forensics and Security 6 (3), 1086-1098, 2011 | 66 | 2011 |
| Robust application identification methods for P2P and VoIP traffic classification in backbone networks T Qin, L Wang, Z Liu, X Guan Knowledge-Based Systems 82, 152-162, 2015 | 56 | 2015 |
| Monitoring abnormal network traffic based on blind source separation approach T Qin, X Guan, W Li, P Wang, Q Huang Journal of Network and Computer Applications 34 (5), 1732-1742, 2011 | 27 | 2011 |
| Modeling heterogeneous and correlated human dynamics of online activities with double Pareto distributions C Wang, X Guan, T Qin, T Yang Information Sciences 330, 186-198, 2016 | 23 | 2016 |
| A new sketch method for measuring host connection degree distribution P Wang, X Guan, J Zhao, J Tao, T Qin IEEE transactions on information forensics and security 9 (6), 948-960, 2014 | 23 | 2014 |
| Dynamic feature analysis and measurement for large-scale network traffic monitoring X Guan, T Qin, W Li, P Wang IEEE Transactions on Information Forensics and Security 5 (4), 905-919, 2010 | 23 | 2010 |
| IMLADS: intelligent maintenance and lightweight anomaly detection system for internet of things T Qin, B Wang, R Chen, Z Qin, L Wang Sensors 19 (4), 958, 2019 | 22 | 2019 |
| A new data streaming method for locating hosts with large connection degree X Guan, P Wang, T Qin GLOBECOM 2009-2009 IEEE Global Telecommunications Conference, 1-6, 2009 | 22 | 2009 |
| EEG-based emotion recognition with emotion localization via hierarchical self-attention Y Zhang, H Liu, D Zhang, X Chen, T Qin, Q Zheng IEEE Transactions on Affective Computing, 2022 | 21 | 2022 |
| Who are active? An in-depth measurement on user activity characteristics in sina microblogging C Wang, X Guan, T Qin, W Li 2012 IEEE Global Communications Conference (GLOBECOM), 2083-2088, 2012 | 21 | 2012 |
| A new connection degree calculation and measurement method for large scale network monitoring T Qin, X Guan, W Li, P Wang, M Zhu Journal of Network and Computer Applications 41, 15-26, 2014 | 16 | 2014 |
| MUCM: multilevel user cluster mining based on behavior profiles for network monitoring T Qin, X Guan, C Wang, Z Liu IEEE Systems Journal 9 (4), 1322-1333, 2014 | 15 | 2014 |
| Dynamic features measurement and analysis for large-scale networks T Qin, X Guan, W Li, P Wang ICC Workshops-2008 IEEE International Conference on Communications Workshops …, 2008 | 14 | 2008 |
| Internet traffic classification based on expanding vector of flow L Ding, J Liu, T Qin, H Li Computer networks 129, 178-192, 2017 | 13 | 2017 |
| Modeling the heterogeneity of human dynamics based on the measurements of influential users in Sina Microblog C Wang, X Guan, T Qin, T Yang Physica A: Statistical Mechanics and its Applications 428, 239-249, 2015 | 13 | 2015 |
| SIRQU: Dynamic quarantine defense model for online rumor propagation control Z Liu, T Qin, Q Sun, S Li, HH Song, Z Chen IEEE Transactions on Computational Social Systems 9 (6), 1703-1714, 2022 | 11 | 2022 |
| Monitoring abnormal traffic flows based on independent component analysis T Qin, X Guan, W Li, P Wang 2009 IEEE International Conference on Communications, 1-5, 2009 | 10 | 2009 |
| Symmetry degree measurement and its applications to anomaly detection T Qin, Z Liu, P Wang, S Li, X Guan, L Gao IEEE transactions on information forensics and security 15, 1040-1055, 2019 | 9 | 2019 |
