Zixuan Cang - Concepedia

Author

Zixuan Cang

University of California, Irvine ORCID

Also Known As

Cang, Zixuan, Zixuan Cang

Publications

3.3K

Citations

H-Index

Concepts

All Affiliations

University of California, Irvine Michigan State University North Carolina State University George Washington University Fluor (United States)

About

Zixuan Cang is an author at University of California, Irvine specializing in engineering, computational biology, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	480
2	Medicine	5	5	307
3	Cell Biology	3	3	78
4	Management	1	1	16
5	Computer Science	1	1	157

Zixuan Cang

Publications

Citations

H-Index

Page 1

	Year	Citations
Inferring spatial and signaling relationships between cells from single cell transcriptomic data Zixuan Cang, Qing Nie Nature Communications	2020	395
Screening cell–cell communication in spatial transcriptomics via collective optimal transport Zixuan Cang, Yanxiang Zhao, Axel A. Almet, Nature Methods	2023	379
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions Zixuan Cang, Guo‐Wei Wei PLoS Computational Biology	2017	335
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening Zixuan Cang, Lin Mu, Guo‐Wei Wei PLoS Computational Biology	2018	263
Defining Epidermal Basal Cell States during Skin Homeostasis and Wound Healing Using Single-Cell Transcriptomics Daniel Haensel, Suoqin Jin, Peng Sun, Cell Reports	2020	236
A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation Menglun Wang, Zixuan Cang, Guo‐Wei Wei Nature Machine Intelligence Topology-based Network TreeAffinity ChangesEngineeringInteractomicsGenetics	2020	210
The landscape of cell–cell communication through single-cell transcriptomics Axel A. Almet, Zixuan Cang, Suoqin Jin, Current Opinion in Systems Biology	2021	201
Identifying multicellular spatiotemporal organization of cells with SpaceFlow Honglei Ren, Benjamin L. Walker, Zixuan Cang, Nature Communications	2022	189
Integration of element specific persistent homology and machine learning for protein‐ligand binding affinity prediction Zixuan Cang, Guo‐Wei Wei International Journal for Numerical Methods in Biomedical Engineering	2017	174
Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges Duc Duy Nguyen, Zixuan Cang, Kedi Wu, Journal of Computer-Aided Molecular Design Geometric LearningMachine VisionMachine LearningData ScienceD3r Grand Challenges	2018	157

Page 1