Yue Pei

621 citations
23 papers · 432 · h-index 10

Impact in

Papers in

    • Machine Learning in Bioinformatics 3
    • Plant-Microbe Interactions and Immunity 2
    • Plant nutrient uptake and metabolism 2
    • Legume Nitrogen Fixing Symbiosis 2

Yue Pei

19 papers receiving 424 citations

Peers

Yue Pei
Comparison fields: 5 of 103
  • Health, Toxicology and Mutagenesis 104
  • Speech and Hearing 33
  • Plant Science 177
  • Conservation 11
  • Human-Computer Interaction 17
Replace Frederick Fung with:
Frederick Fung United States
María A. Morel Uruguay
E. S. Horner United States
G. Lysek Germany
Hiroshige NISHINA Japan
Tian Zhang China
A.S. Ficheux France
Dié Tang China
Lisbeth Larsen Denmark
M.J. Canty Ireland
Yue Pei relative to Frederick Fung United States Frederick Fung's profile →
Citations per field
00.5×10×15×22.3×
Frederick Fung · 1×
Citations per year

Countries citing papers authored by Yue Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yue Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yue Pei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yue Pei Line = papers co-authored together Yue Pei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018122
2 2020112
3 201930
4 201229
5 201723
6 202222
7 201821
8 201616
9 201514
10 201511
11 20248
12 20246
13 20236
14 20253
15 20233
16 20232
17 20242
18 20231
19 20231
20 20250

About Yue Pei

Yue Pei is a scholar working on Molecular Biology, Plant Science, Environmental Engineering, Building and Construction and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 432 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Building Energy and Comfort Optimization (3 papers), Urban Green Space and Health (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant nutrient uptake and metabolism (2 papers), Computational Drug Discovery Methods (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Urban Heat Island Mitigation (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (104 citations), Speech and Hearing (33 citations), Plant Science (177 citations), Conservation (11 citations) and Human-Computer Interaction (17 citations). Yue Pei has collaborated with scholars based in China, South Korea and Italy. Frequent co-authors include Olivia McAnirlin, Matthew H.E.M. Browning, Hyun‐Seo Yoon, Chenxi Huang, Haoli Ma, Qin Chen, Peng Zhao, Nana Kong, Ruoqiu Wang and Ayong Zhao. Their work appears in journals such as Forests, Scientific Reports, Journal of Cellular Biochemistry, Virology Journal and Applied Physics Letters.

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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