Lusheng Wang

Lusheng Wang is affiliated with the City University of Hong Kong in China, contributing to fields connecting biochemistry, genetics, molecular biology, and computer science. Their research portfolio spans several interdisciplinary domains, prominently molecular biology and computational theory, with a focus on genetics and artificial intelligence. Civil and structural engineering is also reflected as part of their subfield expertise.

Their scholarly output includes notable papers such as "Research progress on recycled clay brick waste as an alternative to cement for sustainable construction materials" (2021, Construction and Building Materials), "PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel" (2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics), "Cryptotanshinone protects skin cells from ultraviolet radiation-induced photoaging via its antioxidant effect and by reducing mitochondrial dysfunction and inhibiting apoptosis" (2022, Frontiers in Pharmacology), "Keratinocyte Growth Factor 2 Ameliorates UVB-Induced Skin Damage via Activating the AhR/Nrf2 Signaling Pathway" (2021, Frontiers in Pharmacology), and "Suppression of FGF5 and FGF18 Expression by Cholesterol-Modified siRNAs Promotes Hair Growth in Mice" (2021, Frontiers in Pharmacology).

Their work touches on multiple main topics that reflect both biological and computational complexities including:

• Algorithms and Data Compression
• Genomics and Phylogenetic Studies
• Advanced Graph Theory Research
• Chromosomal and Genetic Variations
• Genome Rearrangement Algorithms
• Complexity and Algorithms in Graphs
• BRCA gene mutations in cancer

Frequent publication venues where Lusheng Wang's research appears include:

• Frontiers in Pharmacology
• Annals of Translational Medicine
• Journal of Combinatorial Optimization
• Journal of Computational Biology
• arXiv (Cornell University)

Collaborations form an important part of the scientist's work, with frequent co-authors including Daming Zhu, Rongrong Jing, Keke Guo, Guohui Lin, and Mingyang Gong. These partnerships span across multiple projects and publications, contributing to a broad research network.

The research activity reflects a blend of experimental and computational methods, integrating molecular biology techniques with algorithmic and graph theory approaches, generating insights particularly relevant to genetics and biochemistry while also touching upon engineering applications.