Standout Papers

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: St... 2021 2026 2022 2024379
  1. Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges (2021)
    Sen Qiu, Hongkai Zhao et al. Information Fusion

Immediate Impact

51 standout
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Citing Papers

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
2025 Standout
Beyond XGBoost and SHAP: Unveiling true feature importance
2025 Standout
2 intermediate papers

Works of Zhelong Wang being referenced

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
2021 Standout
A Triaxial Accelerometer-Based Human Activity Recognition via EEMD-Based Features and Game-Theory-Based Feature Selection
2016

Author Peers

Author Last Decade Papers Cites
Zhelong Wang 1160 888 489 544 96 2.6k
Sen Qiu 938 590 443 403 82 2.1k
Hongyu Zhao 917 539 444 396 65 1.9k
Filippo Cavallo 1026 670 237 483 166 3.3k
John Y. Goulermas 944 950 387 605 104 3.0k
Stephen J. Redmond 2001 943 383 309 132 3.8k
Marjorie Skubic 1486 2024 336 507 169 4.3k
Roozbeh Jafari 1764 1124 480 382 117 3.3k
Zhiqiang Zhang 1077 401 648 520 198 3.1k
Branko G. Celler 1862 1463 316 342 185 4.9k
Susanna Spinsante 799 766 374 216 184 2.1k

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2026