Ziyang Fu

524 citations
13 papers · 334 indexed · 1 hit paper · h-index 7
Topics
Underwater Vehicles and Communication Systems (2 papers)Magnetic Bearings and Levitation Dynamics (1 paper)interferon and immune responses (1 paper)
Partner nations
ChinaCanadaIreland

In The Last Decade

Ziyang Fu

12 papers receiving 331 citations

Hit Papers

The complex structure of GRL0617 and SARS-CoV-2 PLpro rev...2021202620222024202150100150200

Peers

Ziyang Fu
Comparison fields: 5 of 76
  • Infectious Diseases 146
  • Molecular Biology 145
  • Computational Theory and Mathematics 109
  • Immunology 52
  • Plant Science 32
Replace Vladimir Perović with:
Vladimir Perović Serbia
Chongzhi Bai China
Murali Aarthy India
Amer H. Asseri Saudi Arabia
Suza Mohammad Nur Saudi Arabia
Yu Wei China
Xiaolin Xie China
Joseph T. Ortega United States
Maria Carmina Scala Italy
Chia‐Shin Yang Taiwan
Ziyang Fu relative to Vladimir Perović Serbia Vladimir Perović's profile →
Citations per field
00.5×1.6×
Vladimir Perović · 1×
Citations per year

Countries citing papers authored by Ziyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ziyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyang Fu

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 11
5 1
6 22
7
The complex structure of GRL0617 and SARS-CoV-2 PLpro reveals a hot spot for antiviral drug discoverybreakdown →
217
8 11
9 6
10 1
11 9
12 48
13 5

About Ziyang Fu

Ziyang Fu is a scholar working on Virology, Biochemistry and Ocean Engineering, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (2 papers), Magnetic Bearings and Levitation Dynamics (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Infectious Diseases (146 citations), Computational Theory and Mathematics (109 citations) and Biochemistry (20 citations). Ziyang Fu has collaborated with scholars based in China, Canada and Ireland. Frequent co-authors include Hao Huang, Zhihong Liu, Yuxian Xiong, Xiaogang Niu, Yuxin Ye, Dan Cao, Jinle Tang, Huan Zhou, Shuyan Liu and Yong Zhao. Their work appears in journals such as Nature Communications, Biochemical Journal and Structure.

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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