Yingkun Wang

821 citations
8 papers · 480 · h-index 4

Impact in

    • Crop Yield and Soil Fertility
    • Bioenergy crop production and management
    • Wheat and Barley Genetics and Pathology
    • Genetics and Plant Breeding
    • Plant nutrient uptake and metabolism
    • Plant Disease Resistance and Genetics

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 3
    • Wheat and Barley Genetics and Pathology 3
    • Genetics and Plant Breeding 2

Yingkun Wang

8 papers receiving 466 citations

Peers

Yingkun Wang
Comparison fields: 5 of 32
  • Agronomy and Crop Science 125
  • Plant Science 434
  • Genetics 280
  • Signal Processing 24
  • Computer Vision and Pattern Recognition 24
Replace Xiaojing Dang with:
Xiaojing Dang China
R. Higgins United States
Jiangtao Luo China
Pablo Federico Roncallo Argentina
Gunther Stiewe Germany
Linzhou Huang China
Balpreet K. Dhatt United States
Yuvraj Chopra United States
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Citations per field
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Citations per year

Countries citing papers authored by Yingkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009232
2 2006110
3 2010109
4 200423
5 20242
6 20062
7 20241
8 20051

About Yingkun Wang

Yingkun Wang is a scholar working on Genetics, Plant Science, Computer Vision and Pattern Recognition, Signal Processing and Civil and Structural Engineering, having authored 8 papers that have together received 480 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Video Coding and Compression Technologies (2 papers), Advanced Data Compression Techniques (2 papers), Genetics and Plant Breeding (2 papers), Image and Video Quality Assessment (1 paper), Iterative Learning Control Systems (1 paper) and Air Quality and Health Impacts (1 paper). The work is most often cited by research in Agronomy and Crop Science (125 citations), Plant Science (434 citations), Genetics (280 citations), Signal Processing (24 citations) and Computer Vision and Pattern Recognition (24 citations). Yingkun Wang has collaborated with scholars based in China, United Kingdom and Morocco. Frequent co-authors include James Simmonds, J. W. Snape, Lesley Fish, Luzie U. Wingen, Simon Griffiths, Simon Orford, Liz Sayers, Lorelei Bilham, Sébastien Faure and D. A. Laurie. Their work appears in journals such as Theoretical and Applied Genetics, Environmental Science Atmospheres, IEEE Transactions on Consumer Electronics, Euphytica and Molecular Breeding.

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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