| Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range X Wan, W Wang, J Liu, T Tong BMC medical research methodology 14, 1-13, 2014 | 4822 | 2014 |
| Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range D Luo, X Wan, J Liu, T Tong Statistical methods in medical research 27 (6), 1785-1805, 2018 | 1206 | 2018 |
| Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model KL Stark, B Xu, A Bagchi, WS Lai, H Liu, R Hsu, X Wan, P Pavlidis, ... Nature genetics 40 (6), 751-760, 2008 | 635 | 2008 |
| BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies X Wan, C Yang, Q Yang, H Xue, X Fan, NLS Tang, W Yu The American Journal of Human Genetics 87 (3), 325-340, 2010 | 551 | 2010 |
| SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies C Yang, Z He, X Wan, Q Yang, H Xue, W Yu Bioinformatics 25 (4), 504-511, 2009 | 196 | 2009 |
| Predictive rule inference for epistatic interaction detection in genome-wide association studies X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu Bioinformatics 26 (1), 30-37, 2010 | 192 | 2010 |
| GBOOST: a GPU-based tool for detecting gene–gene interactions in genome–wide case control studies LS Yung, C Yang, X Wan, W Yu Bioinformatics 27 (9), 1309-1310, 2011 | 176 | 2011 |
| Generating radiology reports via memory-driven transformer Z Chen, Y Song, TH Chang, X Wan arXiv preprint arXiv:2010.16056, 2020 | 135 | 2020 |
| Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data A Zoubarev, KM Hamer, KD Keshav, EL McCarthy, JRC Santos, ... Bioinformatics 28 (17), 2272-2273, 2012 | 117 | 2012 |
| MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu BMC bioinformatics 10 (1), 1-15, 2009 | 88 | 2009 |
| Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso C Yang, X Wan, Q Yang, H Xue, W Yu BMC bioinformatics 11 (1), 1-11, 2010 | 57 | 2010 |
| Named entity recognition for social media texts with semantic augmentation Y Nie, Y Tian, X Wan, Y Song, B Dai arXiv preprint arXiv:2010.15458, 2020 | 50 | 2020 |
| Improving named entity recognition with attentive ensemble of syntactic information Y Nie, Y Tian, Y Song, X Ao, X Wan arXiv preprint arXiv:2010.15466, 2020 | 48 | 2020 |
| NBLDA: negative binomial linear discriminant analysis for RNA-Seq data K Dong, H Zhao, T Tong, X Wan BMC bioinformatics 17, 1-10, 2016 | 45 | 2016 |
| A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits M Cai, J Xiao, S Zhang, X Wan, H Zhao, G Chen, C Yang The American Journal of Human Genetics 108 (4), 632-655, 2021 | 41 | 2021 |
| Dependency-driven relation extraction with attentive graph convolutional networks Y Tian, G Chen, Y Song, X Wan Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 39 | 2021 |
| Cross-modal memory networks for radiology report generation Z Chen, Y Shen, Y Song, X Wan arXiv preprint arXiv:2204.13258, 2022 | 36 | 2022 |
| Detecting the skewness of data from the sample size and the five-number summary J Shi, D Luo, X Wan, Y Liu, J Liu, Z Bian, T Tong arXiv preprint arXiv:2010.05749, 2020 | 36 | 2020 |
| Cost-sensitive learning via priority sampling to improve the return on marketing and CRM investment G Cui, ML Wong, X Wan Journal of Management Information Systems 29 (1), 341-374, 2012 | 36 | 2012 |
| Piecewise-constant and low-rank approximation for identification of recurrent copy number variations X Zhou, J Liu, X Wan, W Yu Bioinformatics 30 (14), 1943-1949, 2014 | 35 | 2014 |
Jiming LiuIEEE Fellow, Chair Professor in Computer Science & Dean of Science, Hong Kong Baptist University在 comp.hkbu.edu.hk 的电子邮件经过验证
