| Visual saliency based on conditional entropy Y Li, Y Zhou, J Yan, Z Niu, J Yang Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 109 | 2010 |
| A systematic review of data-driven approaches to fault diagnosis and early warning P Jieyang, A Kimmig, W Dongkun, Z Niu, F Zhi, W Jiahai, X Liu, ... Journal of Intelligent Manufacturing 34 (8), 3277-3304, 2023 | 101 | 2023 |
| Updating the Silent Speech Challenge benchmark with deep learning DB Ji Yan, Liu Licheng, Wang Hongcui, Liu Zhilei, Niu Zhibin Speech Communication 98, 42-50, 2018 | 63 | 2018 |
| Chart decoder: Generating textual and numeric information from chart images automatically W Dai, M Wang, Z Niu, J Zhang Journal of Visual Languages & Computing 48, 101-109, 2018 | 58 | 2018 |
| Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. D Cheng, Y Tu, ZW Ma, Z Niu, L Zhang IJCAI, 5822-5828, 2019 | 51 | 2019 |
| PM2. 5 source apportionment during severe haze episodes in a Chinese megacity based on a 5-month period by using hourly species measurements: Explore how to better conduct PMF … Y Tian, Y Zhang, Y Liang, Z Niu, Q Xue, Y Feng Atmospheric Environment 224, 117364, 2020 | 49 | 2020 |
| Understanding energy demand behaviors through spatio-temporal smart meter data analysis Z Niu, J Wu, X Liu, L Huang, PS Nielsen Energy 226, 120493, 2021 | 46 | 2021 |
| Identifying protein subcellular locations with embeddings-based node2loc X Pan, L Chen, M Liu, Z Niu, T Huang, YD Cai IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2021 | 45 | 2021 |
| Wind turbine failure prediction and health assessment based on adaptive maximum mean discrepancy J Peng, A Kimmig, Z Niu, J Wang, X Liu, D Wang, J Ovtcharova International Journal of Electrical Power & Energy Systems 134, 107391, 2022 | 40 | 2022 |
| Visual saliency detection via rank-sparsity decomposition J Yan, J Liu, Y Li, Z Niu, Y Liu 2010 IEEE International Conference on Image Processing, 1089-1092, 2010 | 39 | 2010 |
| Visual analytics for networked-guarantee loans risk management Z Niu, D Cheng, L Zhang, J Zhang 2018 IEEE Pacific Visualization Symposium (PacificVis), 160-169, 2018 | 38* | 2018 |
| Contagious chain risk rating for networked-guarantee loans D Cheng, Z Niu, Y Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 36 | 2020 |
| Dual-stage attention-based long-short-term memory neural networks for energy demand prediction J Peng, A Kimmig, J Wang, X Liu, Z Niu, J Ovtcharova Energy and Buildings 249, 111211, 2021 | 34 | 2021 |
| A dynamic default prediction framework for networked-guarantee loans D Cheng, Y Zhang, F Yang, Y Tu, Z Niu, L Zhang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 34 | 2019 |
| Delinquent Events Prediction in Temporal Networked-Guarantee Loans D Cheng, Z Niu, L Zhang IEEE transactions on neural networks and learning systems, 2020 | 31 | 2020 |
| Rapidly finding CAD features using database optimization Z Niu, RR Martin, FC Langbein, MA Sabin Computer-Aided Design 69, 35-50, 2015 | 30 | 2015 |
| iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans Z Niu, R Li, J Wu, D Cheng, J Zhang 2020 IEEE Conference on Visual Analytics Science and Technology (VAST), 2020 | 27 | 2020 |
| Prediction defaults for networked-guarantee loans D Cheng, Z Niu, Y Tu, L Zhang 2018 24th International Conference on Pattern Recognition (ICPR), 361-366, 2018 | 27 | 2018 |
| Modeling similarities among multi-dimensional financial time series D Cheng, Y Liu, Z Niu, L Zhang IEEE Access 6, 43404-43413, 2018 | 22 | 2018 |
| Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms L Chen, XY Pan, W Guo, Z Gan, YH Zhang, Z Niu, T Huang, YD Cai Genomics 112 (3), 2524-2534, 2020 | 21 | 2020 |
Ralph R. MartinEmeritus Professor, Cardiff UniversityEmail verificata su cs.cf.ac.uk