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Hui Zhang

Qingdao University of Science and Technology

Publishes on Electrochemical sensors and biosensors, Gastric Cancer Management and Outcomes, Soil Geostatistics and Mapping. 6 papers and 0 citations.

6Publications
0Total Citations

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Top publicationsby citations

A 15-layer multi-omics analysis of gastric cancer ecotypes provides therapeutic insights
Yuefan Wang, Lindsey K. Olsen, Fenglong Jiao et al.|Cell Reports Medicine|2026
Cited by 0Open Access

Gastric cancer is marked by profound molecular and microenvironmental heterogeneity that limits therapeutic progress. Here, we present a 15-layer multi-omics atlas that integrates genomics, epigenomics, transcriptomics, proteomics, multiple post-translational modifications (PTMs), protein-protein interactions, metabolomics, and microbiome profiles from 159 primary gastric adenocarcinomas and 30 matched normal adjacent tissues. Using cell-state deconvolution, we define tumor ecotypes that refine genomic and histological subtypes by capturing distinct tumor microenvironment architectures linked to clinical outcomes and potential associations with immunotherapy response. Multi-omics integration prioritizes genomic and epigenomic aberrations and their associated vulnerabilities; defines ecotype-specific transcriptional programs, signaling pathways, PTMs, protein interaction networks, and metabolic regulation; and identifies microbiome features linked to ecotypes and resistance pathways. We further prioritize ecotype-, genomic subtype-, and cell type-specific targetable proteins using proteomic and PTM analyses within a tumor microenvironment context. This comprehensive atlas provides a systems-level blueprint for decoding gastric cancer heterogeneity and advancing precision oncology.

Steady-State Simulation Approach of Heat Pump Type Multi-Unit Air Conditioning Systems with Vapor Injection
Wenbo Li, Hui Zhang, Li Shuangliang et al.|DOAJ (DOAJ: Directory of Open Access Journals)|2026
Cited by 0Open Access

Vapor injection technology can effectively enhance the heating performance of heat pump-type multi-unit air conditioning systems (heat pump VRF) under low-temperature conditions. However, complex system configuration and component coupling necessitate a more general steady-state simulation approach for VRF heat pumps. This study proposes an improved graph-theory-based steady-state simulation method for a multiunit air-conditioning system with vapor injection. By abstracting the components into computational units, a graph-theory-based description method guided by the refrigerant flow paths was established. A directed graph of computation units was employed to characterize the adjacency relationships in cooling/heating modes, with mode switching achieved using a four-way valve model. A dual-layer path generation method for system pressure and flow paths is proposed, along with a decoupled iterative algorithm for flow pressure calculation. Validation based on experimental data from a heat pump VRF system with vapor injection (four indoor units) shows that the model prediction error is within ±5% under rated cooling/heating conditions. A steady-state simulation platform with customizable system configurations was developed based on the proposed method, providing a convenient digital tool for the VRF system design.