| Incorporating rich background knowledge for gene named entity classification and recognition Y Li, H Lin, Z Yang BMC bioinformatics 10, 1-15, 2009 | 67 | 2009 |
| Multiple kernel learning in protein–protein interaction extraction from biomedical literature Z Yang, N Tang, X Zhang, H Lin, Y Li, Z Yang Artificial intelligence in medicine 51 (3), 163-173, 2011 | 62 | 2011 |
| BioPPISVMExtractor: A protein–protein interaction extractor for biomedical literature using SVM and rich feature sets Z Yang, H Lin, Y Li Journal of biomedical informatics 43 (1), 88-96, 2010 | 61 | 2010 |
| Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature Z Yang, H Lin, Y Li Computational biology and chemistry 32 (4), 287-291, 2008 | 57 | 2008 |
| Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based Approach L He, Z Yang, Z Zhao, H Lin, Y Li PLOS ONE 8 (6), e65814, 2013 | 56 | 2013 |
| Overview of the gene ontology task at BioCreative IV Y Mao, K Van Auken, D Li, CN Arighi, P McQuilton, GT Hayman, ... Database 2014, 2014 | 53 | 2014 |
| Protein complex prediction in large ontology attributed protein-protein interaction networks Y Zhang, H Lin, Z Yang, J Wang, Y Li, B Xu IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (3 …, 2013 | 47 | 2013 |
| Enhancing biomedical text summarization using semantic relation extraction Y Shang, Y Li, H Lin, Z Yang PLoS one 6 (8), e23862, 2011 | 42 | 2011 |
| Learning an enriched representation from unlabeled data for protein-protein interaction extraction Y Li, X Hu, H Lin, Z Yang BMC bioinformatics 11, 1-10, 2010 | 41 | 2010 |
| Drug name recognition in biomedical texts: a machine-learning-based method L He, Z Yang, H Lin, Y Li Drug discovery today 19 (5), 610-617, 2014 | 40 | 2014 |
| Modality classification for medical images using multiple deep convolutional neural networks Y Yu, H Lin, Q Yu, J Meng, Z Zhao, Y Li, L Zuo J. Comput. Inf. Syst 11 (15), 5403-5413, 2015 | 37 | 2015 |
| Neighborhood hash graph kernel for protein–protein interaction extraction Y Zhang, H Lin, Z Yang, Y Li Journal of biomedical informatics 44 (6), 1086-1092, 2011 | 35 | 2011 |
| A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature Y Zhang, H Lin, Z Yang, J Wang, Y Li PloS one 7 (11), e48901, 2012 | 31 | 2012 |
| A framework for semisupervised feature generation and its applications in biomedical literature mining Y Li, X Hu, H Lin, Z Yang IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2), 294-307, 2010 | 29 | 2010 |
| Exploiting the contextual cues for bio-entity name recognition in biomedical literature Z Yang, H Lin, Y Li Journal of biomedical informatics 41 (4), 580-587, 2008 | 26 | 2008 |
| Hash subgraph pairwise kernel for protein-protein interaction extraction Y Zhang, H Lin, Z Yang, J Wang, Y Li IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (4 …, 2012 | 22 | 2012 |
| Knowledge transfer based on feature representation mapping for text classification J Meng, H Lin, Y Li Expert Systems with Applications 38 (8), 10562-10567, 2011 | 20 | 2011 |
| PPIExtractor: a protein interaction extraction and visualization system for biomedical literature Z Yang, Z Zhao, Y Li, Y Hu, H Lin IEEE transactions on nanobioscience 12 (3), 173-181, 2013 | 19 | 2013 |
| Integrating Various Resources for Gene Name Normalization Y Hu, Y Li, H Lin, Z Yang, L Cheng PLOS ONE 7 (9), e43558, 2012 | 17 | 2012 |
| Semi-supervised method for biomedical event extraction J Wang, Q Xu, H Lin, Z Yang, Y Li Proteome Science 11, 1-10, 2013 | 15 | 2013 |
