| deepDR: a network-based deep learning approach to in silico drug repositioning X Zeng, S Zhu, X Liu, Y Zhou, R Nussinov, F Cheng Bioinformatics 35 (24), 5191-5198, 2019 | 297 | 2019 |
| Sequence clustering in bioinformatics: an empirical study Q Zou, G Lin, X Jiang, X Liu, X Zeng Briefings in bioinformatics 21 (1), 1-10, 2020 | 202 | 2020 |
| Machine learning for drug-target interaction prediction R Chen, X Liu, S Jin, J Lin, J Liu Molecules 23 (9), 2208, 2018 | 180 | 2018 |
| Hierarchical classification of protein folds using a novel ensemble classifier C Lin, Y Zou, J Qin, X Liu, Y Jiang, C Ke, Q Zou PloS one 8 (2), e56499, 2013 | 173 | 2013 |
| Application of machine learning in microbiology K Qu, F Guo, X Liu, Y Lin, Q Zou Frontiers in microbiology 10, 827, 2019 | 138 | 2019 |
| Identifying enhancer–promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism Z Hong, X Zeng, L Wei, X Liu Bioinformatics 36 (4), 1037-1043, 2020 | 122 | 2020 |
| Application of deep learning methods in biological networks S Jin, X Zeng, F Xia, W Huang, X Liu Briefings in bioinformatics 22 (2), 1902-1917, 2021 | 108 | 2021 |
| Asynchronous spiking neural P systems with rules on synapses T Song, Q Zou, X Liu, X Zeng Neurocomputing 151, 1439-1445, 2015 | 92 | 2015 |
| On languages generated by spiking neural P systems with weights X Zeng, L Xu, X Liu, L Pan Information Sciences 278, 423-433, 2014 | 89 | 2014 |
| Audio jack based miniaturized mobile phone electrochemical sensing platform X Wang, MR Gartia, J Jiang, TW Chang, J Qian, Y Liu, X Liu, GL Liu Sensors and Actuators B: Chemical 209, 677-685, 2015 | 88 | 2015 |
| Computational methods for identifying the critical nodes in biological networks X Liu, Z Hong, J Liu, Y Lin, A Rodríguez-Patón, Q Zou, X Zeng Briefings in bioinformatics 21 (2), 486-497, 2020 | 75 | 2020 |
| Aptamer-binding directed DNA origami pattern for logic gates J Yang, S Jiang, X Liu, L Pan, C Zhang ACS Applied Materials & Interfaces 8 (49), 34054-34060, 2016 | 70 | 2016 |
| Exploratory predicting protein folding model with random forest and hybrid features X Zhao, Q Zou, B Liu, X Liu Current Proteomics 11 (4), 289-299, 2014 | 61 | 2014 |
| Implementation of arithmetic operations with time-free spiking neural P systems X Liu, Z Li, J Liu, L Liu, X Zeng IEEE Transactions on Nanobioscience 14 (6), 617-624, 2015 | 58 | 2015 |
| Identifying multi-functional enzyme by hierarchical multi-label classifier Q Zou, W Chen, Y Huang, X Liu, Y Jiang Journal of Computational and Theoretical Nanoscience 10 (4), 1038-1043, 2013 | 51 | 2013 |
| An empirical study of features fusion techniques for protein-protein interaction prediction J Zeng, D Li, Y Wu, Q Zou, X Liu Current Bioinformatics 11 (1), 4-12, 2016 | 50 | 2016 |
| imDC: an ensemble learning method for imbalanced classification with miRNA data CY Wang, L Hu, MZ Guo, XY Liu, Q Zou Genetics and molecular research 14 (1), 123-133, 2015 | 45 | 2015 |
| On solutions and representations of spiking neural P systems with rules on synapses FGC Cabarle, RTA de la Cruz, DPP Cailipan, D Zhang, X Liu, X Zeng Information Sciences 501, 30-49, 2019 | 36 | 2019 |
| Asynchronous spiking neural P systems with anti-spikes T Song, X Liu, X Zeng Neural Processing Letters 42, 633-647, 2015 | 36 | 2015 |
| Bifunctional Nano Lycurgus Cup Array Plasmonic Sensor for Colorimetric Sensing and Surface‐Enhanced Raman Spectroscopy TW Chang, X Wang, A Hsiao, Z Xu, G Lin, MR Gartia, X Liu, GL Liu Advanced Optical Materials 3 (10), 1397-1404, 2015 | 35 | 2015 |
Xiangxiang ZengDeparment of Computer Science, Hunan UniversityVerified email at hnu.edu.cn
