Yonghui Wu

1.6k total citations
12 papers, 641 citations indexed

About

Yonghui Wu is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Yonghui Wu has authored 12 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Artificial Intelligence. Recurrent topics in Yonghui Wu's work include Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers) and Chromosomal and Genetic Variations (3 papers). Yonghui Wu is often cited by papers focused on Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers) and Chromosomal and Genetic Variations (3 papers). Yonghui Wu collaborates with scholars based in United States, China and Italy. Yonghui Wu's co-authors include Stefano Lonardi, Timothy J. Close, Prasanna R. Bhat, Wojciech Szpankowski, Tao Jiang, Lauren K. Quezada, Mihrimah Ozkan, Nathaniel G. Portney, Steve Wanamaker and Marco Beccuti and has published in prestigious journals such as Langmuir, Frontiers in Immunology and PLoS Genetics.

In The Last Decade

Yonghui Wu

12 papers receiving 635 citations

Peers

Yonghui Wu
Jingya Xu China
Sharon Westcott Australia
Akio Onogi Japan
Debbie Wong Australia
Ethalinda K. S. Cannon United States
Lanzhi Li China
Renhu Liu China
Nathan T. Weeks United States
Héctor Sánchez‐Villeda United States
Jingya Xu China
Yonghui Wu
Citations per year, relative to Yonghui Wu Yonghui Wu (= 1×) peers Jingya Xu

Countries citing papers authored by Yonghui Wu

Since Specialization
Citations

This map shows the geographic impact of Yonghui Wu'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 Yonghui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghui Wu more than expected).

Fields of papers citing papers by Yonghui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonghui Wu. 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 Yonghui Wu. The network helps show where Yonghui Wu may publish in the future.

Co-authorship network of co-authors of Yonghui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghui Wu. A scholar is included among the top collaborators of Yonghui Wu 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 Yonghui Wu. Yonghui Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Zhang, Zhichun, et al.. (2024). Acanthopanax senticosus improves cognitive impairment in Alzheimer’s disease by promoting the phosphorylation of the MAPK signaling pathway. Frontiers in Immunology. 15. 1383464–1383464. 8 indexed citations
2.
Liu, Hui, Jun Tang, Kaikai Zhu, et al.. (2020). Evolution of Acyl-CoA-binding protein gene family in plants provides insights into potential functions of grapevine (Vitis vinifera L.). Journal of Berry Research. 10(4). 677–696. 1 indexed citations
3.
Lonardi, Stefano, Denisa Duma, Matthew Alpert, et al.. (2013). Combinatorial Pooling Enables Selective Sequencing of the Barley Gene Space. PLoS Computational Biology. 9(4). e1003010–e1003010. 23 indexed citations
4.
Liu, Lan, Yonghui Wu, Stefano Lonardi, & Tao Jiang. (2010). Efficient Genome-Wide TagSNP Selection Across Populations via the Linkage Disequilibrium Criterion. Journal of Computational Biology. 17(1). 21–37. 7 indexed citations
5.
Wu, Yonghui, Timothy J. Close, & Stefano Lonardi. (2010). Accurate Construction of Consensus Genetic Maps via Integer Linear Programming. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 381–394. 88 indexed citations
6.
Wu, Yonghui, Prasanna R. Bhat, Timothy J. Close, & Stefano Lonardi. (2008). Efficient and Accurate Construction of Genetic Linkage Maps from the Minimum Spanning Tree of a Graph. PLoS Genetics. 4(10). e1000212–e1000212. 421 indexed citations
7.
Wu, Yonghui, Lan Liu, Timothy J. Close, & Stefano Lonardi. (2008). DECONVOLUTING BAC–GENE RELATIONSHIPS USING A PHYSICAL MAP. Journal of Bioinformatics and Computational Biology. 6(3). 603–622. 2 indexed citations
8.
Wu, Yonghui & Stefano Lonardi. (2008). A LINEAR-TIME ALGORITHM FOR PREDICTING FUNCTIONAL ANNOTATIONS FROM PPI NETWORKS. Journal of Bioinformatics and Computational Biology. 6(6). 1049–1065. 3 indexed citations
9.
Wu, Yonghui, Timothy J. Close, & Stefano Lonardi. (2008). ON THE ACCURATE CONSTRUCTION OF CONSENSUS GENETIC MAPS. PubMed. 7. 285–296. 55 indexed citations
10.
Portney, Nathaniel G., Yonghui Wu, Lauren K. Quezada, Stefano Lonardi, & Mihrimah Ozkan. (2008). Length-Based Encoding of Binary Data in DNA. Langmuir. 24(5). 1613–1616. 14 indexed citations
11.
Liu, Lan, Yonghui Wu, Stefano Lonardi, & Tao Jiang. (2007). EFFICIENT ALGORITHMS FOR GENOME-WIDE TAGSNP SELECTION ACROSS POPULATIONS VIA THE LINKAGE DISEQUILIBRIUM CRITERION. PubMed. 6. 67–78. 5 indexed citations
12.
Wu, Yonghui, Stefano Lonardi, & Wojciech Szpankowski. (2006). Error-Resilient LZW Data Compression. 7. 193–202. 14 indexed citations

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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