Lixin Lei
Beijing Institute of Petrochemical Technology(CN)
Publications by Year
Research Areas
Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, Gene expression and cancer classification, Protein Structure and Dynamics, scientometrics and bibliometrics research
Most-Cited Works
- → Studying domain structure: a comparative analysis of bibliographic coupling analysis and co-citation analysis considering all authors(2022)32 cited
- → Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data(2024)19 cited
- → Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics(2024)17 cited
- → Innovative Mamba and graph transformer framework for superior protein-ligand affinity prediction(2024)5 cited
- → KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics(2024)3 cited
- → SpaOmicsVAE: A deep learning framework for integrative analysis of spatial multi-omics data(2025)2 cited
- → A comparative analysis of Inventor Patent Classification Coupling between the first-inventor and all-inventor: Taking 3D printing as an example(2022)2 cited
- → MNiST: A deep learning framework for multi-scale spatial feature modeling and cellular landscape decoding in spatial(2025)1 cited
- → SpatioFreq: A Deep Learning Framework for Decoding Cellular and Tissue Landscapes Across Organisms Using Spatial Transcriptomics(2026)
- → GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease(2025)