Zunyun Fu

1.1k citations
29 papers · 717 indexed · 1 hit paper · h-index 15
Topics
Computational Drug Discovery Methods (13 papers)Microbial Natural Products and Biosynthesis (6 papers)Chemical Synthesis and Analysis (5 papers)

In The Last Decade

Zunyun Fu

28 papers receiving 704 citations

Hit Papers

Fine-tuning large language models for chemical text mining20242026202520241020304050

Peers

Zunyun Fu
Comparison fields: 5 of 112
  • Molecular Biology 345
  • Computational Theory and Mathematics 335
  • Materials Chemistry 142
  • Organic Chemistry 125
  • Pharmacology 61
Replace Ryan Byrne with:
Ryan Byrne Switzerland
Matthias Zentgraf Germany
Vladimir Aladinskiy Russia
Jason B. Cross United States
Jihui Zhao China
Lukas Friedrich Switzerland
Stefano Rensi United States
Jeff Blaney United States
Xiaoqin Tan China
Mélaine A. Kuenemann France
Zunyun Fu relative to Ryan Byrne Switzerland Ryan Byrne's profile →
Citations per field
00.5×1.5×2.2×
Ryan Byrne · 1×
Citations per year

Countries citing papers authored by Zunyun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zunyun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zunyun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Zunyun Fu. A scholar is included among the top collaborators of Zunyun 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 Zunyun Fu. Zunyun Fu 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
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3
Fine-tuning large language models for chemical text miningbreakdown →
51
4 28
5 5
6 9
7 2
8 7
9 3
10 14
11 10
12 17
13 54
14 31
15 29
16 34
17 26
18 35
19 158
20 16

About Zunyun Fu

Zunyun Fu is a scholar working on Computational Theory and Mathematics, Pharmacology and Inorganic Chemistry, having authored 29 papers that have together received 717 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Microbial Natural Products and Biosynthesis (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (335 citations), Health Informatics (23 citations) and Molecular Biology (345 citations). Zunyun Fu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mingyue Zheng, Xutong Li, Hualiang Jiang, Kaixian Chen, Xiaohong Liu, Xiaomin Luo, Xiaoqin Tan, Xiaolong Wu, Feisheng Zhong and Zhaojun Li. Their work appears in journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

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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