Fengjuan Liu

959 citations
51 papers · 696 indexed · h-index 17
Topics
Machine Learning in Bioinformatics (6 papers)Blood groups and transfusion (6 papers)Plant-Microbe Interactions and Immunity (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEFood Chemistry

In The Last Decade

Fengjuan Liu

48 papers receiving 685 citations

Peers

Fengjuan Liu
Comparison fields: 5 of 115
  • Molecular Biology 344
  • Plant Science 101
  • Materials Chemistry 83
  • Geriatrics and Gerontology 81
  • Genetics 72
Replace Yun‐Kyoung Song with:
Yun‐Kyoung Song South Korea
Denise McCormack United States
Jacek Szymański Poland
Shahid Masood Raza Pakistan
Shanyi Li United States
Sun Yang United States
Woong Jung South Korea
Rasika R. Hudlikar United States
Anna A. Emelianova Russia
Parisa Maleki Dana Iran
Fengjuan Liu relative to Yun‐Kyoung Song South Korea Yun‐Kyoung Song's profile →
Citations per field
00.5×2.7×
Yun‐Kyoung Song · 1×
Citations per year

Countries citing papers authored by Fengjuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fengjuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjuan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengjuan Liu. A scholar is included among the top collaborators of Fengjuan Liu 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 Fengjuan Liu. Fengjuan Liu 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 2
3 5
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5 1
6 2
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8 4
9 1
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11 2
12 4
13 33
14 28
15 1
16
Relationship between changes of phenolic substances and browning during drying of Thompson seedless grapes.
1
17 4
18 18
19 31
20 86

About Fengjuan Liu

Fengjuan Liu is a scholar working on Aging, Hematology and Applied Microbiology and Biotechnology, having authored 51 papers that have together received 696 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Blood groups and transfusion (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). The work is most often cited by research in Geriatrics and Gerontology (81 citations), Family Practice (32 citations) and Applied Microbiology and Biotechnology (11 citations). Fengjuan Liu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Runyu Jing, Jiesi Luo, Yizhou Li, Lezheng Yu, Haijun Cao, Zongkui Wang, Shengliang Ye, Xi Du, Rong Zhang and Peng Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

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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