Rui Kuang

2.5k total citations
74 papers, 1.6k citations indexed

About

Rui Kuang is a scholar working on Molecular Biology, Genetics and Mathematical Physics. According to data from OpenAlex, Rui Kuang has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Mathematical Physics. Recurrent topics in Rui Kuang's work include Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (20 papers) and Machine Learning in Bioinformatics (12 papers). Rui Kuang is often cited by papers focused on Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (20 papers) and Machine Learning in Bioinformatics (12 papers). Rui Kuang collaborates with scholars based in United States, China and Taiwan. Rui Kuang's co-authors include Christina S. Leslie, Raphael Petegrosso, Zhuliu Li, Wei Zhang, Ze Tian, Tae-Hyun Hwang, Eugene Ie, Jason Weston, William Stafford Noble and Yoav Freund and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Rui Kuang

64 papers receiving 1.5k citations

Peers

Countries citing papers authored by Rui Kuang

Since Specialization

Citations

This map shows the geographic impact of Rui Kuang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rui Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Kuang more than expected).

Fields of papers citing papers by Rui Kuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui Kuang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rui Kuang. The network helps show where Rui Kuang may publish in the future.

Co-authorship network of co-authors of Rui Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Kuang. A scholar is included among the top collaborators of Rui Kuang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rui Kuang. Rui Kuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Asymptotic quasi-shadowing and generic points via mean orbital pseudo-metric 2024 ·Journal of Differential Equations ·(unknown), Rui Kuang, (unknown)	0
2	Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs 2024 ·Bioinformatics ·(unknown), (unknown), Gaoyuan Wang, Rui Kuang, Mark Gerstein, Martin Renqiang Min, Jonathan Warrell	0
3	Free vibration of the piezoelectric laminated composite beams under the elastic foundation 2024 ·Physica Scripta ·(unknown), Dongpo Zhu, Rui Kuang, (unknown), Kelong Wang, Xiaona Shi, (unknown)	0
4	GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations 2023 ·Nature Communications ·(unknown), (unknown), Rui Kuang	4
5	Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs 2021 ·IEEE Transactions on Knowledge and Data Engineering ·Zhuliu Li, Raphael Petegrosso, Shaden Smith, David A. Sterling, George Karypis, Rui Kuang	3
6	Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion 2021 ·PLoS Computational Biology ·Zhuliu Li, (unknown), Jeongsik Yong, Rui Kuang	16
7	Hierarchical Canonical Correlation Analysis Reveals Phenotype, Genotype, and Geoclimate Associations in Plants 2020 ·Plant Phenomics ·Raphael Petegrosso, (unknown), Rui Kuang	0
8	A Detailed View of KIR Haplotype Structures and Gene Families as Provided by a New Motif-Based Multiple Sequence Alignment 2020 ·Frontiers in Immunology ·David Roe, Cynthia Vierra‐Green, (unknown), Daniel E. Geraghty, Stephen R. Spellman, Martin Maiers, Rui Kuang	7
9	Accurate and Efficient KIR Gene and Haplotype Inference From Genome Sequencing Reads With Novel K-mer Signatures 2020 ·Frontiers in Immunology ·David Roe, Rui Kuang	11
10	Scalable remote homology detection and fold recognition in massive protein networks 2019 ·Proteins Structure Function and Bioinformatics ·Raphael Petegrosso, Zhuliu Li, (unknown), Yousef Saad, Wei Zhang, Rui Kuang	3
11	Path segmentation for movement trajectories with irregular sampling frequency using space‐time interpolation and density‐based spatial clustering 2019 ·Transactions in GIS ·Ying Song, (unknown), Rui Kuang	5
12	A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa 2018 ·PLoS Computational Biology ·(unknown), Catherine Lee, Zhuliu Li, John Garbe, Cindy Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar	24
13	Obesity-induced protein carbonylation in murine adipose tissue regulates the DNA-binding domain of nuclear zinc finger proteins 2018 ·Journal of Biological Chemistry ·Amy K. Hauck, Tong Zhou, Wendy Hahn, Raphael Petegrosso, Rui Kuang, Yue Chen, David Bernlohr	19
14	Detecting Population-Differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection 2017 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), David Roe, Rui Kuang	2
15	Network-based machine learning and graph theory algorithms for precision oncology 2017 ·npj Precision Oncology ·Wei Zhang, Jeremy Chien, Jeongsik Yong, Rui Kuang	77
16	Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum 2012 ·BMC Systems Biology ·Hong Cai, Changjin Hong, Jianying Gu, Timothy Lilburn, Rui Kuang, Yufeng Wang	21
17	Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel 2008 ·Genetica ·Rui Kuang, Jianying Gu, Hong Cai, Yufeng Wang	18
18	SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition 2007 ·BMC Bioinformatics ·(unknown), Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie	40
19	Identifying remote protein homologs by network propagation 2005 ·FEBS Journal ·William Stafford Noble, Rui Kuang, Christina S. Leslie, Jason Weston	24
20	Fast String Kernels using Inexact Matching for Protein Sequences 2004 ·Journal of Machine Learning Research ·Christina S. Leslie, Rui Kuang	94

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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