Jie Yun

745 citations
22 papers · 518 indexed · 1 hit paper · h-index 8
Topics
Decision-Making and Behavioral Economics (3 papers)Experimental Behavioral Economics Studies (2 papers)Consumer Behavior in Brand Consumption and Identification (2 papers)

In The Last Decade

Jie Yun

19 papers receiving 508 citations

Hit Papers

Nanoparticle Size and Coating Chemistry Control Foliar Up...20192026202120232019100200300400

Peers

Jie Yun
Comparison fields: 5 of 117
  • Materials Chemistry 220
  • Plant Science 180
  • Biomedical Engineering 117
  • Pollution 104
  • Molecular Biology 60
Replace Amalia Turner with:
Amalia Turner United States
Ruting Wang China
Daniel L. Starnes United States
GU Fu-gen China
Akhtar Rasool India
Shawninder Chahal Canada
Gabriella Geiger United States
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Samina Shabbir China
Emily S. Bernhardt United States
Jie Yun relative to Amalia Turner United States Amalia Turner's profile →
Citations per field
00.5×1.5×
Amalia Turner · 1×
Citations per year

Countries citing papers authored by Jie Yun

Since Specialization
Citations

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

Fields of papers citing papers by Jie Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Yun. A scholar is included among the top collaborators of Jie Yun 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 Jie Yun. Jie Yun 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 0
3 3
4 0
5 5
6 2
7 5
8 5
9 3
10 12
11 0
12 11
13 12
14 25
15 2
16
Nanoparticle Size and Coating Chemistry Control Foliar Uptake Pathways, Translocation, and Leaf-to-Rhizosphere Transport in Wheatbreakdown →
403
17 3
18 9
19 1
20 2

About Jie Yun

Jie Yun is a scholar working on General Decision Sciences, Complementary and Manual Therapy and Applied Psychology, having authored 22 papers that have together received 518 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (3 papers), Experimental Behavioral Economics Studies (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). The work is most often cited by research in Pollution (104 citations), Geochemistry and Petrology (29 citations) and Plant Science (180 citations). Jie Yun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jason M. Unrine, Eleanor Spielman-Sun, Astrid Avellan, Yilin Zhang, Gregory V. Lowry, Juergen Thieme, Garret D. Bland, Enzo Lombi, Xiaoyan Li and Jie He. Their work appears in journals such as ACS Nano, Journal of Colloid and Interface Science and Journal of Business Research.

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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