Standout Papers

SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks 2021 2026 2022 2024441
  1. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks (2021)
    Lingxiao Yang, Ru‐Yuan Zhang et al. International Conference on Machine Learning

Immediate Impact

71 standout
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Citing Papers

DCSSGA-UNet: Biomedical image segmentation with DenseNet channel spatial and Semantic Guidance Attention
2025 Standout
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection
2025 Standout
2 intermediate papers

Works of Lida Li being referenced

SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
2021 Standout
Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation
2021

Author Peers

Author Last Decade Papers Cites
Lida Li 479 36 27 152 96 14 756
Nadia Kanwal 483 51 30 93 65 38 946
J. Princen 524 97 33 219 89 10 830
Mamoona Naveed Asghar 509 50 23 103 60 43 839
Morium Akter 450 69 19 35 178 13 931
Saqib Ali Nawaz 332 27 8 60 98 30 688
Kari Saarinen 433 59 29 35 106 16 908
Yan Qiu Chen 434 35 46 35 110 40 753
Stefan Oehmcke 310 48 25 41 116 19 752
Haniza Yazid 317 41 19 43 126 57 731
Jesús Salido 347 22 5 70 105 26 659

All Works

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2026