| An image encryption scheme based on chaotic tent map C Li, G Luo, K Qin, C Li Nonlinear Dynamics 87, 127-133, 2017 | 425 | 2017 |
| Minimum noise fraction versus principal component analysis as a preprocessing step for hyperspectral imagery denoising G Luo, G Chen, L Tian, K Qin, SE Qian Canadian Journal of Remote Sensing 42 (2), 106-116, 2016 | 177 | 2016 |
| Stgsn—a spatial–temporal graph neural network framework for time-evolving social networks S Min, Z Gao, J Peng, L Wang, K Qin, B Fang Knowledge-Based Systems 214, 106746, 2021 | 93 | 2021 |
| Deep neural network-based relation extraction: an overview H Wang, K Qin, RY Zakari, G Lu, J Yin Neural Computing and Applications, 1-21, 2022 | 59 | 2022 |
| On software defect prediction using machine learning J Ren, K Qin, Y Ma, G Luo Journal of Applied Mathematics 2014, 2014 | 57 | 2014 |
| Projective synchronization of different chaotic neural networks with mixed time delays based on an integral sliding mode controller Y Shi, P Zhu, K Qin Neurocomputing 123, 443-449, 2014 | 53 | 2014 |
| A parallel dbscan algorithm based on spark G Luo, X Luo, TF Gooch, L Tian, K Qin 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016 | 46 | 2016 |
| Direction-sensitive relation extraction using bi-sdp attention model H Wang, K Qin, G Lu, G Luo, G Liu Knowledge-Based Systems 198, 105928, 2020 | 29 | 2020 |
| Online sensor drift compensation for E-nose systems using domain adaptation and extreme learning machine Z Ma, G Luo, K Qin, N Wang, W Niu Sensors 18 (3), 742, 2018 | 29 | 2018 |
| A survey of proximity graphs in wireless networks 路纲， 周明天， 牛新征， 佘堃， 唐勇， 秦科 Journal of Software 19 (4), 888-911, 2008 | 28 | 2008 |
| Document-level relation extraction using evidence reasoning on RST-GRAPH H Wang, K Qin, G Lu, J Yin, RY Zakari, JW Owusu Knowledge-Based Systems 228, 107274, 2021 | 27 | 2021 |
| Multi_level data pre_processing for software defect prediction GK Armah, G Luo, K Qin 2013 6th International Conference on Information Management, Innovation …, 2013 | 23 | 2013 |
| Exploiting intercontact time for routing in delay tolerant networks G Luo, J Zhang, H Huang, K Qin, H Sun Transactions on Emerging Telecommunications Technologies 24 (6), 589-599, 2013 | 21 | 2013 |
| Unsupervised domain adaptation for person re-identification with iterative soft clustering JP Ainam, K Qin, JW Owusu, G Lu Knowledge-Based Systems 212, 106644, 2021 | 20 | 2021 |
| Sparse label smoothing regularization for person re-identification JP Ainam, K Qin, G Liu, G Luo IEEE Access 7, 27899-27910, 2019 | 20 | 2019 |
| Combining the requirement information for software defect estimation in design time Y Ma, S Zhu, K Qin, G Luo Information Processing Letters 114 (9), 469-474, 2014 | 20 | 2014 |
| Logistic neural networks: Their chaotic and pattern recognition properties Q Ke, BJ Oommen Neurocomputing 125, 184-194, 2014 | 19 | 2014 |
| Relation extraction: A brief survey on deep neural network based methods H Wang, G Lu, J Yin, K Qin Proceedings of the 2021 4th International Conference on Software Engineering …, 2021 | 18 | 2021 |
| An algorithm based on logistic regression with data fusion in wireless sensor networks L Liu, G Luo, K Qin, X Zhang EURASIP Journal on Wireless Communications and Networking 2017, 1-9, 2017 | 18 | 2017 |
| Improving neural machine translation model with deep encoding information G Duan, H Yang, K Qin, T Huang Cognitive Computation 13 (4), 972-980, 2021 | 17 | 2021 |
B. John OommenCarleton UniversityVerified email at scs.carleton.ca
