Peizhi Wu

2.9k citations
8 papers · 1.9k indexed · 1 hit paper · h-index 6
Topics
Data Management and Algorithms (3 papers)Advanced Database Systems and Queries (2 papers)Recommender Systems and Techniques (2 papers)
Journals
Nucleic Acids ResearchProceedings of the VLDB EndowmentProceedings of the 2022 International Conference on Management of Data

In The Last Decade

Peizhi Wu

8 papers receiving 1.8k citations

Hit Papers

dbCAN2: a meta server for automated carbohydrate-active e...2018202620202023201850010001.5k

Peers

Peizhi Wu
Comparison fields: 5 of 113
  • Molecular Biology 1.1k
  • Plant Science 530
  • Ecology 525
  • Biotechnology 313
  • Food Science 274
Replace Fenglou Mao with:
Fenglou Mao United States
Jincai Yang China
Chunxu Song Netherlands
Chi Nam Seong South Korea
Mathias C. Walter Germany
Victor de Jager Netherlands
Sonia Humphris United Kingdom
L.C. Reimer Germany
Aaron A. Klammer United States
Peizhi Wu relative to Fenglou Mao United States Fenglou Mao's profile →
Citations per field
00.5×3.3×
Fenglou Mao · 1×
Citations per year

Countries citing papers authored by Peizhi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Peizhi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peizhi Wu

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 2
2 8
3 45
4 5
5 11
6
dbCAN2: a meta server for automated carbohydrate-active enzyme annotationbreakdown →
1564
7 218
8 2

About Peizhi Wu

Peizhi Wu is a scholar working on Transportation, Signal Processing and Biotechnology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Biotechnology (313 citations), Ecology (525 citations) and Molecular Biology (1.1k citations). Peizhi Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhenglu Yang, Le Huang, Sarah Entwistle, Han Zhang, Yanbin Yin, Ying Xu, Peter Kamp Busk, Haidong Yi, Xueqiong Li and Gao Cong. Their work appears in journals such as Nucleic Acids Research, Proceedings of the VLDB Endowment and Proceedings of the 2022 International Conference on Management of Data.

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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