| Trend and forecasting of the COVID-19 outbreak in China Q Li, W Feng Journal of Infection, 2020 | 166 | 2020 |
| Class imbalance ensemble learning based on the margin theory W Feng, W Huang, J Ren Applied Sciences 8 (5), 815, 2018 | 161 | 2018 |
| Radar deception jamming recognition based on weighted ensemble CNN with transfer learning Q Lv, Y Quan, W Feng, M Sha, S Dong, M Xing IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 71 | 2021 |
| Imbalanced hyperspectral image classification with an adaptive ensemble method based on SMOTE and rotation forest with differentiated sampling rates W Feng, W Huang, W Bao IEEE Geoscience and Remote Sensing Letters 16 (12), 1879-1883, 2019 | 62 | 2019 |
| Dynamic synthetic minority over-sampling technique-based rotation forest for the classification of imbalanced hyperspectral data W Feng, G Dauphin, W Huang, Y Quan, W Bao, M Wu, Q Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 60 | 2019 |
| New margin-based subsampling iterative technique in modified random forests for classification W Feng, G Dauphin, W Huang, Y Quan, W Liao Knowledge-Based Systems 182, 104845, 2019 | 59 | 2019 |
| Enhanced-random-feature-subspace-based ensemble CNN for the imbalanced hyperspectral image classification Q Lv, W Feng, Y Quan, G Dauphin, L Gao, M Xing IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 44 | 2021 |
| A novel image fusion method of multi-spectral and sar images for land cover classification Y Quan, Y Tong, W Feng, G Dauphin, W Huang, M Xing Remote Sensing 12 (22), 3801, 2020 | 44 | 2020 |
| Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data W Feng, Y Quan, G Dauphin, Q Li, L Gao, W Huang, J Xia, W Zhu, M Xing Information Sciences, 2021 | 32 | 2021 |
| Weight-based rotation forest for hyperspectral image classification W Feng, W Bao IEEE Geoscience and Remote Sensing Letters 14 (11), 2167-2171, 2017 | 31 | 2017 |
| A pixel cluster CNN and spectral-spatial fusion algorithm for hyperspectral image classification with small-size training samples S Dong, Y Quan, W Feng, G Dauphin, L Gao, M Xing IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 29 | 2021 |
| Class noise removal and correction for image classification using ensemble margin W Feng, S Boukir 2015 IEEE International Conference on Image Processing (ICIP), 4698-4702, 2015 | 27 | 2015 |
| A new technology of remote sensing image fusion W Feng, W Bao TELKOMNIKA (Telecommunication Computing Electronics and Control) 10 (3), 551-556, 2012 | 26 | 2012 |
| SMOTE-based weighted deep rotation forest for the imbalanced hyperspectral data classification Y Quan, X Zhong, W Feng, JCW Chan, Q Li, M Xing Remote Sensing 13 (3), 464, 2021 | 23 | 2021 |
| Label noise cleaning with an adaptive ensemble method based on noise detection metric W Feng, Y Quan, G Dauphin Sensors 20 (23), 6718, 2020 | 23 | 2020 |
| Deep ensemble CNN method based on sample expansion for hyperspectral image classification S Dong, W Feng, Y Quan, G Dauphin, L Gao, M Xing IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 22 | 2022 |
| Deep neural network-based interrupted sampling deceptive jamming countermeasure method Q Lv, Y Quan, M Sha, W Feng, M Xing IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 18 | 2022 |
| A novel feature extension method for the forest disaster monitoring using multispectral data Y Quan, X Zhong, W Feng, G Dauphin, L Gao, M Xing Remote Sensing 12 (14), 2261, 2020 | 13 | 2020 |
| Ensemble margin based semi-supervised random forest for the classification of hyperspectral image with limited training data W Feng, W Huang, G Dauphin, J Xia, Y Quan, H Ye, Y Dong IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 13 | 2019 |
| Margin-based random forest for imbalanced land cover classification W Feng, S Boukir, W Huang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 11 | 2019 |
Yinghui QuanXidian University在 mail.xidian.edu.cn 的电子邮件经过验证
