Jundi Liu

729 total citations
28 papers, 516 citations indexed

About

Jundi Liu is a scholar working on Plant Science, Animal Science and Zoology and Infectious Diseases. According to data from OpenAlex, Jundi Liu has authored 28 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Animal Science and Zoology and 4 papers in Infectious Diseases. Recurrent topics in Jundi Liu's work include Animal Nutrition and Physiology (6 papers), Agricultural Innovations and Practices (3 papers) and Agricultural pest management studies (2 papers). Jundi Liu is often cited by papers focused on Animal Nutrition and Physiology (6 papers), Agricultural Innovations and Practices (3 papers) and Agricultural pest management studies (2 papers). Jundi Liu collaborates with scholars based in China and United States. Jundi Liu's co-authors include T.J. Applegate, Xiangshu Piao, Qingyun Li, Zhikai Zeng, Xuexi Huo, Xiao Xu, Ping Li, Qiang Zhang, Panfeng Zhao and Ashis G. Banerjee and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Environmental Research and Public Health and IEEE Transactions on Vehicular Technology.

In The Last Decade

Jundi Liu

26 papers receiving 504 citations

Peers

Jundi Liu
Comparison fields: 5 of 120
  • Plant Science 159
  • Animal Science and Zoology 152
  • Food Science 82
  • Molecular Biology 59
  • Small Animals 47
Replace Md. Mehedi Hasan with:
Md. Mehedi Hasan Bangladesh
Milan Šimko Slovakia
Jiang Wu China
S.A. Chadd United Kingdom
D. Rajendran India
Şenol Çelik Türkiye
Birger Boutrup Jensen Denmark
Vesna Djordjević Serbia
Ivan Nastasijević Serbia
R. B. Cox United States
Md. Mehedi Hasan Bangladesh View profile →
Citations per field, relative to Jundi Liu
Jundi Liu · 1×
Citations per year, relative to Jundi Liu
Jundi Liu · 1×

Countries citing papers authored by Jundi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jundi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jundi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jundi Liu. A scholar is included among the top collaborators of Jundi 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 Jundi Liu. Jundi 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
# Work Indexed citations
1 5
2 0
3 1
4 11
5 7
6 20
7 17
8 1
9 45
10 35
11 23
12 6
13 118
14 4
15 2
16 15
17 11
18 7
19 10
20 21

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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