| Visual analytics towards big data L Ren, Y DU, S Ma, XL Zhang, GZ Dai Journal of Software 25 (9), 1909-1936, 2014 | 253* | 2014 |
| An algorithm for event detection based on social media data W Cui, P Wang, Y Du, X Chen, D Guo, J Li, Y Zhou Neurocomputing 254, 53-58, 2017 | 41 | 2017 |
| 智能时代人机交互的一些思考 范俊君， 田丰， 杜一， 刘正捷， 戴国忠 中国科学: 信息科学 48 (4), 361-375, 2018 | 39* | 2018 |
| TWIST-GAN: Towards wavelet transform and transferred GAN for spatio-temporal single image super resolution FA Dharejo, F Deeba, Y Zhou, B Das, MA Jatoi, M Zawish, Y Du, X Wang ACM Transactions on Intelligent Systems and Technology (TIST) 12 (6), 1-20, 2021 | 38 | 2021 |
| A remote‐sensing image enhancement algorithm based on patch‐wise dark channel prior and histogram equalisation with colour correction FA Dharejo, Y Zhou, F Deeba, MA Jatoi, Y Du, X Wang IET image Processing 15 (1), 47-56, 2021 | 35 | 2021 |
| Unsupervised author disambiguation using heterogeneous graph convolutional network embedding Z Qiao, Y Du, Y Fu, P Wang, Y Zhou 2019 IEEE international conference on big data (Big Data), 910-919, 2019 | 31 | 2019 |
| Machine learning prediction of foodborne disease pathogens: Algorithm development and validation study H Wang, W Cui, Y Guo, Y Du, Y Zhou JMIR medical informatics 9 (1), e24924, 2021 | 28 | 2021 |
| A survey on the construction methods and applications of sci-tech big data knowledge graph Y Zhou, W Wang, Z Qiao, M Xiao, Y Du Sci. Sin. Inf 50 (7), 957, 2020 | 25* | 2020 |
| A deep hybrid neural network for single image dehazing via wavelet transform FA Dharejo, Y Zhou, F Deeba, MA Jatoi, MA Khan, GA Mallah, A Ghaffar, ... Optik 231, 166462, 2021 | 24 | 2021 |
| A visual analytics approach for station-based air quality data Y Du, C Ma, C Wu, X Xu, Y Guo, Y Zhou, J Li Sensors 17 (1), 30, 2016 | 22 | 2016 |
| Multilevel interaction model for hierarchical tasks in information visualization L Ren, J Cui, Y Du, G Dai Proceedings of the 6th International Symposium on Visual Information …, 2013 | 20 | 2013 |
| Tree structure-aware graph representation learning via integrated hierarchical aggregation and relational metric learning Z Qiao, P Wang, Y Fu, Y Du, P Wang, Y Zhou 2020 IEEE International Conference on Data Mining (ICDM), 432-441, 2020 | 17 | 2020 |
| High-efficiency machine learning method for identifying foodborne disease outbreaks and confounding factors P Zhang, W Cui, H Wang, Y Du, Y Zhou Foodborne Pathogens and Disease 18 (8), 590-598, 2021 | 16 | 2021 |
| Data augmentation for graph convolutional network on semi-supervised classification Z Tang, Z Qiao, X Hong, Y Wang, FA Dharejo, Y Zhou, Y Du Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021 | 16 | 2021 |
| A corpus of CO2 electrocatalytic reduction process extracted from the scientific literature L Wang, Y Gao, X Chen, W Cui, Y Zhou, X Luo, S Xu, Y Du, B Wang Scientific Data 10 (1), 175, 2023 | 15 | 2023 |
| A sliding window-based multi-stage clustering and probabilistic forecasting approach for large multivariate time series data L Ren, Y Wei, J Cui, Y Du Journal of Statistical Computation and Simulation 87 (13), 2494-2508, 2017 | 13 | 2017 |
| Hierarchical interdisciplinary topic detection model for research proposal classification M Xiao, Z Qiao, Y Fu, H Dong, Y Du, P Wang, H Xiong, Y Zhou IEEE Transactions on Knowledge and Data Engineering 35 (9), 9685-9699, 2023 | 12 | 2023 |
| Rpt: toward transferable model on heterogeneous researcher data via pre-training Z Qiao, Y Fu, P Wang, M Xiao, Z Ning, D Zhang, Y Du, Y Zhou IEEE Transactions on Big Data 9 (1), 186-199, 2022 | 12 | 2022 |
| Expert knowledge-guided length-variant hierarchical label generation for proposal classification M Xiao, Z Qiao, Y Fu, Y Du, P Wang, Y Zhou 2021 IEEE International Conference on Data Mining (ICDM), 757-766, 2021 | 12 | 2021 |
| Revisiting Electrocatalyst Design by a Knowledge Graph of Cu-Based Catalysts for CO2 Reduction Y Gao, L Wang, X Chen, Y Du, B Wang ACS Catalysis 13 (13), 8525-8534, 2023 | 11 | 2023 |
Yuanchun ZhouComputer Network Information Center,CASVerified email at cnic.cn
