| PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou’s pseudo-amino acid compositions P Du, X Wang, C Xu, Y Gao Analytical biochemistry 425 (2), 117-119, 2012 | 336 | 2012 |
| Deep attributed network representation learning of complex coupling and interaction Z Li, X Wang, J Li, Q Zhang Knowledge-Based Systems 212, 106618, 2021 | 115 | 2021 |
| Transo: a knowledge-driven representation learning method with ontology information constraints Z Li, X Liu, X Wang, P Liu, Y Shen World Wide Web 26 (1), 297-319, 2023 | 83 | 2023 |
| Research on knowledge graph data management: a survey 王鑫， 邹磊， 王朝坤， 彭鹏， 冯志勇 Journal of Software 30 (7), 2139-2174, 2019 | 79* | 2019 |
| Hyconve: A novel embedding model for knowledge hypergraph link prediction with convolutional neural networks C Wang, X Wang, Z Li, Z Chen, J Li Proceedings of the ACM Web Conference 2023, 188-198, 2023 | 76 | 2023 |
| Age-related changes in the risk of high blood pressure W Cheng, Y Du, Q Zhang, X Wang, C He, J He, F Jing, H Ren, M Guo, ... Frontiers in cardiovascular medicine 9, 939103, 2022 | 76 | 2022 |
| Recent progress in predicting protein sub-subcellular locations P Du, T Li, X Wang Expert Review of Proteomics 8 (3), 391-404, 2011 | 59 | 2011 |
| Transrhs: A representation learning method for knowledge graphs with relation hierarchical structure F Zhang, X Wang, Z Li, J Li Deakin University, 2020 | 54 | 2020 |
| Context-free path queries on RDF graphs X Zhang, Z Feng, X Wang, G Rao, W Wu International Semantic Web Conference, 632-648, 2016 | 51 | 2016 |
| Efficient subgraph matching on large RDF graphs using MapReduce X Wang, L Chai, Q Xu, Y Yang, J Li, J Wang, Y Chai Data Science and Engineering 4 (1), 24-43, 2019 | 50 | 2019 |
| Explainable link prediction in knowledge hypergraphs Z Chen, X Wang, C Wang, J Li Proceedings of the 31st ACM international conference on information …, 2022 | 45 | 2022 |
| LDC: a lower-level driven compaction method to optimize SSD-oriented key-value stores Y Chai, Y Chai, X Wang, H Wei, N Bao, Y Liang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 722-733, 2019 | 43 | 2019 |
| Research on Question Answering System on Joint of Knowledge Graph and Large Language Models. Z Heyi, W Xin, H Lifan, LI Zhao, C Zirui, C Zhe Journal of Frontiers of Computer Science & Technology 17 (10), 2023 | 41 | 2023 |
| HJE: joint convolutional representation learning for knowledge hypergraph completion Z Li, C Wang, X Wang, Z Chen, J Li IEEE Transactions on Knowledge and Data Engineering 36 (8), 3879-3892, 2024 | 40 | 2024 |
| Qibo: A large language model for traditional chinese medicine H Zhang, X Wang, Z Meng, Z Chen, P Zhuang, Y Jia, D Xu, W Guo arXiv preprint arXiv:2403.16056, 2024 | 39 | 2024 |
| 知识图谱数据管理研究综述 王鑫， 邹磊， 王朝坤， 彭鹏， 冯志勇 软件学报, 2019 | 39 | 2019 |
| Bert-based named entity recognition in chinese twenty-four histories P Yu, X Wang International Conference on Web Information Systems and Applications, 289-301, 2020 | 35 | 2020 |
| Distributed Pregel-based provenance-aware regular path query processing on RDF knowledge graphs X Wang, S Wang, Y Xin, Y Yang, J Li, X Wang World Wide Web 23 (3), 1465-1496, 2020 | 33 | 2020 |
| Adaptive lower-level driven compaction to optimize LSM-tree key-value stores Y Chai, Y Chai, X Wang, H Wei, Y Wang IEEE Transactions on Knowledge and Data Engineering 34 (6), 2595-2609, 2020 | 31 | 2020 |
| KGVQL: A knowledge graph visual query language with bidirectional transformations P Liu, X Wang, Q Fu, Y Yang, YF Li, Q Zhang Knowledge-Based Systems 250, 108870, 2022 | 28 | 2022 |
Zhiyong FengTianjin University, College of Intelligence and Computing, School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, ChinaVerified email at tju.edu.cn
