Standout Papers

Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in ... 2014 2026 2018 2022 1.3k
  1. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images (2016)
    Gong Cheng, Peicheng Zhou et al. IEEE Transactions on Geoscience and Remote Sensing
  2. Object detection in optical remote sensing images: A survey and a new benchmark (2019)
    Ke Li, Gang Wan et al. ISPRS Journal of Photogrammetry and Remote Sensing
  3. When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (2018)
    Gong Cheng, Ceyuan Yang et al. IEEE Transactions on Geoscience and Remote Sensing
  4. A survey on object detection in optical remote sensing images (2016)
    Gong Cheng, Junwei Han ISPRS Journal of Photogrammetry and Remote Sensing
  5. Multi-class geospatial object detection and geographic image classification based on collection of part detectors (2014)
    Gong Cheng, Junwei Han et al. ISPRS Journal of Photogrammetry and Remote Sensing
  6. Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities (2020)
    Gong Cheng, Xingxing Xie et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  7. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning (2014)
    Junwei Han, Dingwen Zhang et al. IEEE Transactions on Geoscience and Remote Sensing
  8. Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey (2018)
    Junwei Han, Dingwen Zhang et al. IEEE Signal Processing Magazine
  9. Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images (2017)
    Ke Li, Gong Cheng et al. IEEE Transactions on Geoscience and Remote Sensing
  10. Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection (2018)
    Gong Cheng, Junwei Han et al. IEEE Transactions on Image Processing
  11. Towards Large-Scale Small Object Detection: Survey and Benchmarks (2023)
    Gong Cheng, Xiang Yuan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  12. Anchor-Free Oriented Proposal Generator for Object Detection (2022)
    Gong Cheng, Jiabao Wang et al. IEEE Transactions on Geoscience and Remote Sensing
  13. Weakly Supervised Object Localization and Detection: A Survey (2021)
    Dingwen Zhang, Junwei Han et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  14. Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (2022)
    Chunbo Lang, Gong Cheng et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  15. Base and Meta: A New Perspective on Few-Shot Segmentation (2023)
    Chunbo Lang, Gong Cheng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence

Immediate Impact

3 from Science/Nature 82 standout
Sub-graph 1 of 19

Citing Papers

Research on object detection and recognition in remote sensing images based on YOLOv11
2025 Standout
FFCA-YOLO for Small Object Detection in Remote Sensing Images
2024 Standout
19 intermediate papers

Works of Gong Cheng being referenced

Feature Enhancement Network for Object Detection in Optical Remote Sensing Images
2021
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
2016 Standout
and 17 more

Author Peers

Author Last Decade Papers Cites
Gong Cheng 9471 7506 2577 152 14.0k
Gui-Song Xia 6130 4808 1287 169 9.8k
Junwei Han 14576 7902 4399 398 22.6k
Danfeng Hong 5146 9233 1942 222 13.6k
Xian Sun 5425 4307 1703 336 9.6k
Bo Du 6903 10498 4049 468 18.3k
Wei Li 5965 11575 2904 542 17.4k
Lianru Gao 3702 8196 1442 207 10.8k
Baining Guo 12085 2906 3708 174 20.6k
Stephen Lin 11846 3690 4243 75 18.4k
Robert M. Haralick 7618 3033 3495 130 18.8k

All Works

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Rankless by CCL
2026