Kang Lu
Postdoc
Also affiliated: Zhejiang Chinese Medical University (2023–2024); University of Denver (2019–2023); The University of Texas MD Anderson Cancer Center (2005); Anhui University (2020); Xi'an University of Architecture and Technology (2016); Southern University of Science and Technology (2026); Zhejiang Shuren University (2013); Green Chemistry (2019); Towson University (2011–2015); University of Virginia (2022–2025); Zhejiang University of Technology (2013); Indiana University – Purdue University Indianapolis (2016–2021); Zhejiang University (2012–2023); Clemson University (2003–2007); Wuhan Institute of Technology (2019–2020)
Postdoc Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Kang Lu's research has explored two primary areas: theoretical physics and medical research. In theoretical physics, Lu has published on topics including super Yangians, Bethe ansatz, and quantum toroidal superalgebras, with publications appearing in 2021, 2022, 2023, and 2024. Collaborations in this area include Xiangbo Meng, Nathaniel Harris, Charles W. Miller, and Julia K. Hoskins, all at the University of Arkansas at Fayetteville.
More recently, Lu has focused on medical research, specifically investigating the use of flow cytometry for peripheral blood analysis as a prognostic tool for acute ischemic stroke. This work, published in 2024, involved a multicenter study. Lu's overall scholarship includes an h-index of 11, 60 total publications, and 644 citations. Lu has been recently active, with a publication in 2026.
Metrics
- h-index: 11
- Publications: 62
- Citations: 658
Selected Publications
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A lithium-ion conductive polymeric coating enables high-performance silicon anodes (2026)
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Advancing silicon anodes with polymeric coatings (2026)
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Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion (2026)
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High-Performance Silicon Anodes by Novel Polymeric Coatings (2025)
Collaboration Network
Top Collaborators
- High-Performance Silicon Anodes by Novel Polymeric Coatings
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Co-tuning ultrathin ZnO films and programmable 3D textures to control lunar dust simulant adhesion
- Advancing silicon anodes with polymeric coatings
- Advancing silicon anodes with polymeric coatings
- Advancing silicon anodes with polymeric coatings
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