Bin Wei

1.8k citations
43 papers · 476 · h-index 14

Impact in

Papers in

    • Gene expression and cancer classification 4
    • Advanced biosensing and bioanalysis techniques 3
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic Associations and Epidemiology 4

Bin Wei

40 papers receiving 463 citations

Peers

Bin Wei
Comparison fields: 5 of 101
  • Plant Science 175
  • Agronomy and Crop Science 44
  • Genetics 94
  • Environmental Chemistry 31
  • Molecular Medicine 15
Replace Anurag Chaturvedi with:
Anurag Chaturvedi India
Pieter Badenhorst Australia
Anders Fries Sweden
Yuqing Wu China
Maria João Gaspar Portugal
Mitchell J. L. Morton Saudi Arabia
Michael Henson Australia
Elvira Sales-Baptista Portugal
А. V. Matsyura Russia
Bin Wei relative to Anurag Chaturvedi India Anurag Chaturvedi's profile →
Citations per field
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Anurag Chaturvedi · 1×
Citations per year

Countries citing papers authored by Bin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Wei, 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 Bin Wei Line = papers co-authored together Bin Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202142
2 200141
3 201932
4 200931
5 201730
6 201929
7 202326
8 202125
9 201524
10 201023
11 202020
12 201615
13 201113
14 201413
15 201912
16 199911
17 20169
18 20219
19 20239
20 20238

About Bin Wei

Bin Wei is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Agronomy and Crop Science, having authored 43 papers that have together received 476 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Crop Yield and Soil Fertility (5 papers), Genetic Associations and Epidemiology (4 papers), Gene expression and cancer classification (4 papers), Genetics and Plant Breeding (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Plant Science (175 citations), Agronomy and Crop Science (44 citations), Genetics (94 citations), Environmental Chemistry (31 citations) and Molecular Medicine (15 citations). Bin Wei has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Yuncheng Liao, Lukman Thalib, Y. Mi, Takuya Maekawa, Ye Yuan, Mehboob Alam, Yang Liu, Juan Han, Luwei Wang and Liang Niu. Their work appears in journals such as Frontiers in Plant Science, The Science of The Total Environment, Poultry Science, Journal of Biotechnology and Euphytica.

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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