| Wormhole attacks detection in wireless ad hoc networks: A statistical analysis approach N Song, L Qian, X Li 19th IEEE international parallel and distributed processing symposium, 8 pp., 2005 | 207 | 2005 |
| Downlink power control in co-channel macrocell femtocell overlay X Li, L Qian, D Kataria 2009 43rd Annual Conference on Information Sciences and Systems, 383-388, 2009 | 206 | 2009 |
| Computation offloading in multi-access edge computing: A multi-task learning approach B Yang, X Cao, J Bassey, X Li, L Qian IEEE transactions on mobile computing 20 (9), 2745-2762, 2020 | 159 | 2020 |
| A survey of complex-valued neural networks J Bassey, L Qian, X Li arXiv preprint arXiv:2101.12249, 2021 | 144 | 2021 |
| Power control for cognitive radio ad hoc networks L Qian, X Li, J Attia, Z Gajic 2007 15th IEEE Workshop on Local & Metropolitan Area Networks, 7-12, 2007 | 135 | 2007 |
| Detecting and locating wormhole attacks in wireless ad hoc networks through statistical analysis of multi-path L Qian, N Song, X Li IEEE Wireless Communications and Networking Conference, 2005 4, 2106-2111, 2005 | 125 | 2005 |
| Mobile-edge-computing-based hierarchical machine learning tasks distribution for IIoT B Yang, X Cao, X Li, Q Zhang, L Qian IEEE Internet of Things Journal 7 (3), 2169-2180, 2019 | 120 | 2019 |
| Detection of wormhole attacks in multi-path routed wireless ad hoc networks: A statistical analysis approach L Qian, N Song, X Li Journal of Network and Computer Applications 30 (1), 308-330, 2007 | 97 | 2007 |
| A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records S Chowdhury, X Dong, L Qian, X Li, Y Guan, J Yang, Q Yu BMC bioinformatics 19, 75-84, 2018 | 70 | 2018 |
| Intrusion detection for IoT devices based on RF fingerprinting using deep learning J Bassey, D Adesina, X Li, L Qian, A Aved, T Kroecker 2019 Fourth International Conference on Fog and mobile edge computing (FMEC …, 2019 | 55 | 2019 |
| Power control for device-to-device communications as an underlay to cellular system WO Oduola, X Li, L Qian, Z Han 2014 IEEE International Conference on Communications (ICC), 5257-5262, 2014 | 52 | 2014 |
| Computation offloading in multi-access edge computing networks: A multi-task learning approach B Yang, X Cao, J Bassey, X Li, T Kroecker, L Qian ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 43 | 2019 |
| Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN X Dong, S Chowdhury, L Qian, X Li, Y Guan, J Yang, Q Yu PloS one 14 (5), e0216046, 2019 | 42 | 2019 |
| Review of stochastic hybrid systems with applications in biological systems modeling and analysis X Li, O Omotere, L Qian, ER Dougherty EURASIP Journal on Bioinformatics and Systems Biology 2017, 1-12, 2017 | 41 | 2017 |
| Anomalous spectrum usage attack detection in cognitive radio wireless networks CL Sorrells, P Potier, L Qian, X Li 2011 IEEE International Conference on Technologies for Homeland Security …, 2011 | 36 | 2011 |
| Lessons learned from accident of autonomous vehicle testing: An edge learning-aided offloading framework B Yang, X Cao, X Li, C Yuen, L Qian IEEE Wireless Communications Letters 9 (8), 1182-1186, 2020 | 32 | 2020 |
| Integrating multiscale modeling with drug effects for cancer treatment XL Li, WO Oduola, L Qian, ER Dougherty Cancer Informatics 14, CIN. S30797, 2015 | 25 | 2015 |
| Closed loop control of blood glucose level with neural network predictor for diabetic patients SO Bamgbose, X Li, L Qian 2017 IEEE 19th International Conference on e-Health Networking, Applications …, 2017 | 20 | 2017 |
| Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors H Jafari, X Li, L Qian, Y Chen 2015 36th IEEE Sarnoff symposium, 12-17, 2015 | 20 | 2015 |
| Device authentication codes based on RF fingerprinting using deep learning J Bassey, X Li, L Qian arXiv preprint arXiv:2004.08742, 2020 | 18 | 2020 |
lijun qianPrairie View A&M University在 ieee.org 的电子邮件经过验证
