Yun William Yu

1.9k citations
32 papers · 718 indexed · h-index 16
Topics
Genomics and Phylogenetic Studies (17 papers)Bacteriophages and microbial interactions (5 papers)Algorithms and Data Compression (5 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Yun William Yu

31 papers receiving 708 citations

Peers

Yun William Yu
Comparison fields: 5 of 122
  • Molecular Biology 361
  • Artificial Intelligence 149
  • Information Systems 111
  • Pharmacology 93
  • Plant Science 80
Replace Jelili Oyelade with:
Jelili Oyelade Nigeria
Ezekiel Adebiyi Nigeria
Itunuoluwa Isewon Nigeria
Victor Felix United States
Li Xie United States
Camille Laibe United Kingdom
Mélanie Courtot United Kingdom
Andreas Dräger Germany
Yiwei Cao China
Ralf Hofestädt Germany
Yun William Yu relative to Jelili Oyelade Nigeria Jelili Oyelade's profile →
Citations per field
00.5×3.9×
Jelili Oyelade · 1×
Citations per year

Countries citing papers authored by Yun William Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yun William Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun William Yu. 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 Yun William Yu. The network helps show where Yun William Yu may publish in the future.

Co-authorship network of co-authors of Yun William Yu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 2
4 1
5 3
6 6
7 65
8 4
9 2
10 25
11 6
12 18
13
HyperMinHash: Jaccard index sketching in LogLog space.
5
14 34
15 34
16
Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification
1
17 18
18 21
19 92
20 50

About Yun William Yu

Yun William Yu is a scholar working on Artificial Intelligence, Molecular Biology and Ecology, having authored 32 papers that have together received 718 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Bacteriophages and microbial interactions (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Health Informatics (8 citations), Pharmacology (93 citations) and Modeling and Simulation (25 citations). Yun William Yu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Bonnie Berger, Jim Shaw, Michael S. Waterman, M. Francesca Monn, Bo Tan, James M. Walker, Noah M. Daniels, David K. O’Dell, Velocity Hughes and Daphne Ippolito. Their work appears in journals such as Nature Biotechnology, Bioinformatics and Nature Reviews Genetics.

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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