Sitao Wu

16.6k citations
47 papers · 10.4k indexed · 3 hit papers · h-index 23
Topics
Protein Structure and Dynamics (7 papers)Genomics and Phylogenetic Studies (6 papers)Enzyme Structure and Function (6 papers)

In The Last Decade

Sitao Wu

46 papers receiving 10.3k citations

Hit Papers

CD-HIT: accelerated for clustering the next-generation se...20072026201320192012200720112.0k4.0k6.0k

Peers

Sitao Wu
Comparison fields: 5 of 186
  • Molecular Biology 6.7k
  • Ecology 2.1k
  • Plant Science 1.6k
  • Genetics 1.0k
  • Infectious Diseases 610
Replace Ilene Karsch‐Mizrachi with:
Ilene Karsch‐Mizrachi United States
Beifang Niu China
LiMin Fu United States
Mao Tanabe Japan
Eric W Sayers United States
James Taylor United States
Zhengwei Zhu China
Tak‐Wah Lam Hong Kong
Ioana Cutcutache Singapore
Karen Clark United States
Sitao Wu relative to Ilene Karsch‐Mizrachi United States Ilene Karsch‐Mizrachi's profile →
Citations per field
00.5×1.7×
Ilene Karsch‐Mizrachi · 1×
Citations per year

Countries citing papers authored by Sitao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sitao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sitao Wu. A scholar is included among the top collaborators of Sitao 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 Sitao Wu. Sitao Wu 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 1
2 24
3 34
4 8
5 10
6 12
7
CD-HIT: accelerated for clustering the next-generation sequencing databreakdown →
7089
8 42
9 96
10 114
11 61
12 57
13 25
14 292
15 65
16 37
17
LOMETS: A local meta-threading-server for protein structure predictionbreakdown →
628
18 394
19
Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine.
1
20 3

About Sitao Wu

Sitao Wu is a scholar working on Small Animals, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 10.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Molecular Biology (6.7k citations), Ecology (2.1k citations) and Microbiology (318 citations). Sitao Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Weizhong Li, Beifang Niu, LiMin Fu, Zhengwei Zhu, Yang Zhang, Jeffrey Skolnick, Robert W. Li, Zhengwei Zhu, Tommy W. S. Chow and Liming Fu. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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