| Weed identification based on K-means feature learning combined with convolutional neural network JL Tang, D Wang, ZG Zhang, LJ He, J Xin, Y Xu Computers and electronics in agriculture 135, 63-70, 2017 | 254 | 2017 |
| Weed detection using image processing under different illumination for site-specific areas spraying JL Tang, XQ Chen, RH Miao, D Wang Computers and Electronics in Agriculture 122, 103-111, 2016 | 136 | 2016 |
| Few-shot classification of aerial scene images via meta-learning P Zhang, Y Bai, D Wang, B Bai, Y Li Remote Sensing 13 (1), 108, 2021 | 81 | 2021 |
| Dairy goat detection based on Faster R-CNN from surveillance video D Wang, JL Tang, W Zhu, H Li, J Xin, D He Computers and Electronics in Agriculture 154, 443-449, 2018 | 60 | 2018 |
| Going deeper with densely connected convolutional neural networks for multispectral pansharpening D Wang, Y Li, L Ma, Z Bai, JCW Chan Remote Sensing 11 (22), 2608, 2019 | 39 | 2019 |
| Research on weeds identification based on K-means feature learning JL Tang, ZG Zhang, D Wang, J Xin, LJ He Soft Computing 22 (22), 7649-7658, 2018 | 21 | 2018 |
| RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification P Zhang, Y Li, D Wang, J Wang Sensors 21 (5), 1566, 2021 | 20 | 2021 |
| HSR-Diff: Hyperspectral image super-resolution via conditional diffusion models C Wu, D Wang, Y Bai, H Mao, Y Li, Q Shen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| Task-adaptive embedding learning with dynamic kernel fusion for few-shot remote sensing scene classification P Zhang, G Fan, C Wu, D Wang, Y Li Remote Sensing 13 (21), 4200, 2021 | 16 | 2021 |
| Convolutional LSTM-based hierarchical feature fusion for multispectral pan-sharpening D Wang, Y Bai, C Wu, Y Li, C Shang, Q Shen IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 16 | 2021 |
| A Meta-Learning Framework for Few-Shot Classification of Remote Sensing Scene P Zhang, Y Bai, D Wang, B Bai, Y Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering Z Bai, Y Li, M Zhou, D Li, D Wang, D Połap, M Woźniak 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 11 | 2020 |
| HMF-Former: Spatio-Spectral Transformer for Hyperspectral and Multispectral Image Fusion T You, C Wu, Y Bai, D Wang, H Ge, Y Li IEEE Geoscience and Remote Sensing Letters, 2022 | 10 | 2022 |
| MetaPan: Unsupervised Adaptation with Meta-Learning for Multispectral Pansharpening D Wang, P Zhang, Y Bai, Y Li IEEE Geoscience and Remote Sensing Letters, 2022 | 8 | 2022 |
| Hierarchical spatio-spectral fusion for hyperspectral image super resolution via sparse representation and pre-trained deep model J Yang, C Wu, T You, D Wang, Y Li, C Shang, Q Shen Knowledge-Based Systems 260, 110170, 2023 | 6 | 2023 |
| Heterogeneous two-Stream Network with Hierarchical Feature Prefusion for Multispectral Pan-Sharpening D Wang, Y Bai, B Bai, C Wu, Y Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Multispectral pan-sharpening via dual-channel convolutional network with convolutional lstm based hierarchical spatial-spectral feature fusion D Wang, Y Bai, Y Li arXiv preprint arXiv:2007.10060, 2020 | 3 | 2020 |
| A Multitask Network for Joint Multispectral Pansharpening on Diverse Satellite Data D Wang, C Wu, Y Bai, Y Li, C Shang, Q Shen IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Few-Shot Classification of Aerial Scene Images via Meta-Learning. Remote Sens. 2021, 13, 108 P Zhang, Y Bai, D Wang, B Bai, Y Li s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2020 | | 2020 |
