| Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data T Wang, B Li, CE Nelson, S Nabavi BMC bioinformatics 20 (1), 1-16, 2019 | 246 | 2019 |
| Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review J Bai, R Posner, T Wang, C Yang, S Nabavi Medical image analysis 71, 102049, 2021 | 54 | 2021 |
| SigEMD: A powerful method for differential gene expression analysis in single-cell RNA sequencing data T Wang, S Nabavi Methods 145, 25-32, 2018 | 47 | 2018 |
| Single-cell classification using graph convolutional networks T Wang, J Bai, S Nabavi BMC bioinformatics 22 (1), 1-23, 2021 | 18 | 2021 |
| Dynamic equivalent modeling of wind farm with DDPMSG wind turbine generators L Li, T Wang, X Wang 2014 International Conference on Power System Technology, 2908-2914, 2014 | 15 | 2014 |
| 电动汽车充放电系统建模与仿真 刘月贤， 王天钰， 杨亚宇， 王晓茹 电力系统保护与控制 42 (13), 70-76, 2014 | 14 | 2014 |
| 基于 ADPSS 的电力系统和牵引供电系统机电–电磁暂态混合仿真 徐家俊， 王晓茹， 王天钰， 李宏强 电网技术 38 (7), 1923-1927, 2014 | 6 | 2014 |
| Applying graph convolution neural network in digital breast tomosynthesis for cancer classification J Bai, A Jin, A Jin, T Wang, C Yang, S Nabavi Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 5 | 2022 |
| Cancer molecular subtype classification by graph convolutional networks on multi-omics data B Li, T Wang, S Nabavi Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 5 | 2021 |
| Feature fusion Siamese network for breast cancer detection comparing current and prior mammograms J Bai, A Jin, T Wang, C Yang, S Nabavi Medical Physics 49 (6), 3654-3669, 2022 | 3 | 2022 |
| Differential gene expression analysis in single-cell RNA sequencing data T Wang, S Nabavi 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 3 | 2017 |
| Alleviation of oscillations power of wind farm using flywheel energy storage J Tan, X Wang, T Wang, Y Zhang 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 3 | 2014 |
| Single-cell Clustering Based on Word Embedding and Nonparametric Methods T Wang, S Nabavi Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 2 | 2018 |
| 考虑输入饱和的直驱式永磁同步风力发电系统最大功率跟踪控制 王天钰， 魏星， 徐家俊， 王晓茹 电力自动化设备 35 (7), 113-119, 2015 | 2 | 2015 |
| Single-cell RNA sequencing data clustering using graph convolutional networks T Wang, B Li, S Nabavi 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 1 | 2021 |
| Composite Resource Scheduling for Networked Control Systems P Wu, C Fu, T Wang, M Li, Y Zhao, CJ Xue, S Han 2021 IEEE Real-Time Systems Symposium (RTSS), 162-175, 2021 | 1 | 2021 |
| Text mining, Hermione Granger, and fan fiction: What's in a name? R Rowe, T Henderson, T Wang Transformative Works and Cultures 36, 2021 | 1 | 2021 |
| Single-cell RNAseq imputation based on matrix completion with side information T Wang, S Nabavi 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 1 | 2019 |
| An electromechanical transient model of direct-driven permanent magnet synchronous generator based wind power system T Wang, L Li, X Wang 2014 International Conference on Power System Technology, 2878-2883, 2014 | 1 | 2014 |
| Adaptive control for the maximum power point tracking of wind energy conversion system considering torque loss T Wang, L Li, J Xu, J Tan, X Wang Proceedings of the 33rd Chinese Control Conference, 7116-7120, 2014 | 1 | 2014 |
