| AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection L Jiao, S Dong, S Zhang, C Xie, H Wang Computers and Electronics in Agriculture 174, 105522, 2020 | 168 | 2020 |
| Pest24: A large-scale very small object data set of agricultural pests for multi-target detection QJ Wang, SY Zhang, SF Dong, GC Zhang, J Yang, R Li, HQ Wang Computers and Electronics in Agriculture 175, 105585, 2020 | 122 | 2020 |
| Fixed-time disturbance observer-based robust fault-tolerant tracking control for uncertain quadrotor UAV subject to input delay K Liu, R Wang, S Zheng, S Dong, G Sun Nonlinear Dynamics 107 (3), 2363-2390, 2022 | 87 | 2022 |
| S-RPN: Sampling-balanced region proposal network for small crop pest detection R Wang, L Jiao, C Xie, P Chen, J Du, R Li Computers and Electronics in Agriculture 187, 106290, 2021 | 82 | 2021 |
| Adaptive feature fusion pyramid network for multi-classes agricultural pest detection L Jiao, C Xie, P Chen, J Du, R Li, J Zhang Computers and electronics in agriculture 195, 106827, 2022 | 54 | 2022 |
| A multi-branch convolutional neural network with density map for aphid counting R Li, R Wang, C Xie, H Chen, Q Long, L Liu, J Zhang, T Chen, H Hu, ... Biosystems Engineering 213, 148-161, 2022 | 28 | 2022 |
| Automatic crop pest detection oriented multiscale feature fusion approach S Dong, J Du, L Jiao, F Wang, K Liu, Y Teng, R Wang Insects 13 (6), 554, 2022 | 27 | 2022 |
| Towards densely clustered tiny pest detection in the wild environment J Du, L Liu, R Li, L Jiao, C Xie, R Wang Neurocomputing 490, 400-412, 2022 | 27 | 2022 |
| Antisaturation fixed-time attitude tracking control based low-computation learning for uncertain quadrotor UAVs with external disturbances K Liu, P Yang, L Jiao, R Wang, Z Yuan, S Dong Aerospace Science and Technology 142, 108668, 2023 | 25 | 2023 |
| MSR-RCNN: a multi-class crop pest detection network based on a multi-scale super-resolution feature enhancement module Y Teng, J Zhang, S Dong, S Zheng, L Liu Frontiers in Plant Science 13, 810546, 2022 | 24 | 2022 |
| Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background G Li, L Jiao, P Chen, K Liu, R Wang, S Dong, C Kang Computers and Electronics in Agriculture 212, 108121, 2023 | 20 | 2023 |
| CRA-Net: A channel recalibration feature pyramid network for detecting small pests S Dong, R Wang, K Liu, L Jiao, R Li, J Du, Y Teng, F Wang Computers and Electronics in Agriculture 191, 106518, 2021 | 20 | 2021 |
| Global context-aware-based deformable residual network module for precise pest recognition and detection L Jiao, G Li, P Chen, R Wang, J Du, H Liu, S Dong Frontiers in Plant Science 13, 895944, 2022 | 15 | 2022 |
| An effective pest detection method with automatic data augmentation strategy in the agricultural field S Qian, J Du, J Zhou, C Xie, L Jiao, R Li Signal, Image and Video Processing 17 (2), 563-571, 2023 | 14 | 2023 |
| AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition L Zhang, J Du, S Dong, F Wang, C Xie, R Wang Computers and electronics in agriculture 202, 107357, 2022 | 13 | 2022 |
| Td-det: A tiny size dense aphid detection network under in-field environment Y Teng, R Wang, J Du, Z Huang, Q Zhou, L Jiao Insects 13 (6), 501, 2022 | 13 | 2022 |
| ESA-Net: An efficient scale-aware network for small crop pest detection S Dong, Y Teng, L Jiao, J Du, K Liu, R Wang Expert Systems with Applications 236, 121308, 2024 | 10 | 2024 |
| WSRD-Net: A convolutional neural network-based arbitrary-oriented wheat stripe rust detection method H Liu, L Jiao, R Wang, C Xie, J Du, H Chen, R Li Frontiers in Plant Science 13, 876069, 2022 | 10 | 2022 |
| RFP-Net: Receptive field-based proposal generation network for object detection L Jiao, S Zhang, S Dong, H Wang Neurocomputing 405, 138-148, 2020 | 9 | 2020 |
| Automatic urinary sediments visible component detection based on improved YOLO algorithm S Dong, S Zhang, L Jiao, Q Wang 2020 International Conference on Computer Vision, Image and Deep Learning …, 2020 | 9 | 2020 |
Jianming DuInstitute of Intelligent Machines, Chinese Academy of SciencesΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα iim.ac.cn
