| BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains T Katayama, MD Wilkinson, KF Aoki-Kinoshita, S Kawashima, ... Journal of biomedical semantics 5, 1-13, 2014 | 69 | 2014 |
| OMDP: An ontology-based model for diagnosis and treatment of diabetes patients in remote healthcare systems L Chen, D Lu, M Zhu, M Muzammal, OW Samuel, G Huang, W Li, H Wu International Journal of Distributed Sensor Networks 15 (5), 1550147719847112, 2019 | 54 | 2019 |
| Time series analysis of weekly influenza-like illness rate using a one-year period of factors in random forest regression H Wu, Y Cai, Y Wu, R Zhong, Q Li, J Zheng, D Lin, Y Li Bioscience trends 11 (3), 292-296, 2017 | 54 | 2017 |
| BioBenchmark Toyama 2012: an evaluation of the performance of triple stores on biological data H Wu, T Fujiwara, Y Yamamoto, J Bolleman, A Yamaguchi Journal of biomedical semantics 5, 1-11, 2014 | 43 | 2014 |
| An Intelligent SPARQL Query Builder for Exploration of Various Life-science Databases. A Yamaguchi, K Kozaki, K Lenz, H Wu, N Kobayashi IESD@ ISWC, 2014 | 31 | 2014 |
| A benchmark study of sequence alignment methods for protein clustering Y Wang, H Wu, Y Cai BMC bioinformatics 19, 95-104, 2018 | 28 | 2018 |
| Semantic Web technologies for the big data in life sciences H Wu, A Yamaguchi Bioscience trends 8 (4), 192-201, 2014 | 20 | 2014 |
| Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species X Tang, P Zheng, X Li, H Wu, DQ Wei, Y Liu, G Huang Methods 204, 142-150, 2022 | 19 | 2022 |
| Graph polish: A novel graph generation paradigm for molecular optimization C Ji, Y Zheng, R Wang, Y Cai, H Wu IEEE Transactions on Neural Networks and Learning Systems 34 (5), 2323-2337, 2021 | 19 | 2021 |
| Forecasting hand, foot, and mouth disease in Shenzhen based on daily level clinical data and multiple environmental factors R Zhong, Y Wu, Y Cai, R Wang, J Zheng, D Lin, H Wu, Y Li Bioscience trends 12 (5), 450-455, 2018 | 17 | 2018 |
| Smoothness sensor: Adaptive smoothness-transition graph convolutions for attributed graph clustering C Ji, H Chen, R Wang, Y Cai, H Wu IEEE transactions on cybernetics 52 (12), 12771-12784, 2021 | 13 | 2021 |
| Predicting unseen antibodies’ neutralizability via adaptive graph neural networks J Zhang, Y Du, P Zhou, J Ding, S Xia, Q Wang, F Chen, M Zhou, X Zhang, ... Nature Machine Intelligence 4 (11), 964-976, 2022 | 11 | 2022 |
| Heterogeneous graph convolutional networks and matrix completion for miRNA-disease association prediction R Zhu, C Ji, Y Wang, Y Cai, H Wu Frontiers in bioengineering and biotechnology 8, 901, 2020 | 11 | 2020 |
| Improving influenza surveillance based on multi-granularity deep spatiotemporal neural network R Wang, H Wu, Y Wu, J Zheng, Y Li Computers in Biology and Medicine 134, 104482, 2021 | 10 | 2021 |
| Cascade architecture with rhetoric long short-term memory for complex sentence sentiment analysis C Ji, H Wu Neurocomputing 405, 161-172, 2020 | 10 | 2020 |
| Perturb more, trap more: Understanding behaviors of graph neural networks C Ji, R Wang, H Wu Neurocomputing 493, 59-75, 2022 | 8 | 2022 |
| BioHackathon 2015: Semantics of data for life sciences and reproducible research RA Vos, T Katayama, H Mishima, S Kawano, S Kawashima, JD Kim, ... F1000Research 9, 2020 | 8 | 2020 |
| Combined biomarkers composed of environment and genetic factors in stroke Y Wang, J Liu, H Wu, Y Cai BioScience Trends 12 (4), 360-368, 2018 | 8 | 2018 |
| A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions H Sun, J Wang, H Wu, S Lin, J Chen, J Wei, S Lv, Y Xiong, DQ Wei Journal of chemical information and modeling 63 (23), 7363-7372, 2023 | 7 | 2023 |
| Efficiently finding paths between classes to build a SPARQL query for life-science databases A Yamaguchi, K Kozaki, K Lenz, H Wu, Y Yamamoto, N Kobayashi Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang …, 2016 | 7 | 2016 |
