| An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition L Luo, Z Yang, P Yang, Y Zhang, L Wang, H Lin, J Wang Bioinformatics 34 (8), 1381–1388, 2018 | 404 | 2018 |
| Drug drug interaction extraction from biomedical literature using syntax convolutional neural network Z Zhao, Z Yang, L Luo, H Lin, J Wang Bioinformatics 32 (22), 3444-3453, 2016 | 207 | 2016 |
| An attention-based effective neural model for drug-drug interactions extraction W Zheng, H Lin, L Luo, Z Zhao, Z Li, Y Zhang, Z Yang, J Wang BMC bioinformatics 18, 1-11, 2017 | 100 | 2017 |
| A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature L Luo, Z Yang, M Cao, L Wang, Y Zhang, H Lin Journal of Biomedical Informatics, 103384, 2020 | 75 | 2020 |
| BioRED: a rich biomedical relation extraction dataset L Luo, PT Lai, CH Wei, CN Arighi, Z Lu Briefings in Bioinformatics 23 (5), bbac282, 2022 | 66 | 2022 |
| Disease named entity recognition from biomedical literature using a novel convolutional neural network Z Zhao, Z Yang, L Luo, L Wang, Y Zhang, H Lin, J Wang BMC medical genomics 10, 75-83, 2017 | 66 | 2017 |
| Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing Q Chen, R Leaman, A Allot, L Luo, CH Wei, S Yan, Z Lu Annual review of biomedical data science 4, 313-339, 2021 | 65 | 2021 |
| Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine R Islamaj Doğan, S Kim, A Chatr-Aryamontri, CH Wei, DC Comeau, ... Database 2019, bay147, 2019 | 48 | 2019 |
| LitSuggest: a web-based system for literature recommendation and curation using machine learning A Allot, K Lee, Q Chen, L Luo, Z Lu Nucleic acids research 49 (W1), W352-W358, 2021 | 36 | 2021 |
| A deep learning approach with deep contextualized word representations for chemical–protein interaction extraction from biomedical literature C Sun, Z Yang, L Luo, L Wang, Y Zhang, H Lin, J Wang IEEE Access 7, 151034-151046, 2019 | 33 | 2019 |
| PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology L Luo, S Yan, PT Lai, D Veltri, A Oler, S Xirasagar, R Ghosh, M Similuk, ... Bioinformatics 37 (13), 1884-1890, 2021 | 32 | 2021 |
| KGHC: a knowledge graph for hepatocellular carcinoma N Li, Z Yang, L Luo, L Wang, Y Zhang, H Lin, J Wang BMC Medical Informatics and Decision Making 20, 1-11, 2020 | 32 | 2020 |
| 基于注意机制的化学药物命名实体识别 杨培， 杨志豪， 罗凌， 林鸿飞， 王健 计算机研究与发展 55 (7), 1548-1556, 2018 | 31* | 2018 |
| Exploiting adversarial transfer learning for adverse drug reaction detection from texts Z Li, Z Yang, L Luo, Y Xiang, H Lin Journal of biomedical informatics 106, 103431, 2020 | 30 | 2020 |
| Exploiting sequence labeling framework to extract document-level relations from biomedical texts Z Li, Z Yang, Y Xiang, L Luo, Y Sun, H Lin BMC bioinformatics 21, 1-14, 2020 | 22 | 2020 |
| Chinese clinical named entity recognition based on stroke ELMo and multi-task learning L Luo, ZH Yang, YW Song, N Li, HF Lin Chinese Journal of Computers 43 (10), 1943-1957, 2020 | 22* | 2020 |
| ML-CNN: A novel deep learning based disease named entity recognition architecture Z Zhao, Z Yang, L Luo, Y Zhang, L Wang, H Lin, J Wang 2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016 | 19 | 2016 |
| DUTIR at the CCKS-2018 Task1: A Neural Network Ensemble Approach for Chinese Clinical Named Entity Recognition L Luo, N Li, S Li, Z Yang, H Lin Conference: Proceedings of the Evaluation Tasks at the China Conference on …, 2018 | 18 | 2018 |
| 基于神经网络的药物实体与关系联合抽取 曹明宇， 杨志豪， 罗凌， 林鸿飞， 王健 计算机研究与发展 56 (7), 1432-1440, 2019 | 17* | 2019 |
| DUTIR at the CCKS-2019 Task1: Improving Chinese Clinical Named Entity Recognition using Stroke ELMo and Transfer Learning N Li, L Luo, Z Ding, Y Song, Z Yang, H Lin Conference: Proceedings of the Evaluation Tasks at the China Conference on …, 2019 | 16 | 2019 |
Hongfei LinDalianUniversity of TechnologyVerified email at dlut.edu.cn
