Xingyi Wang

469 citations
16 papers · 313 · h-index 9

Impact in

    • Wheat and Barley Genetics and Pathology
    • Genetics and Plant Breeding
    • Plant Stress Responses and Tolerance
    • Seed Germination and Physiology
    • Crop Yield and Soil Fertility

Papers in

    • Wheat and Barley Genetics and Pathology 4
    • Plant Stress Responses and Tolerance 3
    • Seed Germination and Physiology 3
    • Rice Cultivation and Yield Improvement 2
    • Mycotoxins in Agriculture and Food 2
    • Research in Cotton Cultivation 2
    • Genetics and Plant Breeding 2

Xingyi Wang

16 papers receiving 308 citations

Peers

Xingyi Wang
Comparison fields: 5 of 54
  • Plant Science 199
  • Agronomy and Crop Science 39
  • Experimental and Cognitive Psychology 36
  • Cognitive Neuroscience 44
  • Genetics 39
Replace Masashi Ida with:
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Anyela Camargo United Kingdom
Jordan Ubbens Canada
Neil R. A. Parry United Kingdom
Chirag Gupta United States
Xinyan Cao China
Dinghe Wang China
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Xingyi Wang relative to Masashi Ida Japan Masashi Ida's profile →
Citations per field
00.5×5.5×
Masashi Ida · 1×
Citations per year

Countries citing papers authored by Xingyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017112
2 202362
3 201923
4 202022
5 201918
6 201813
7 202112
8 201711
9 202110
10 20248
11 20246
12 20245
13 20255
14 20254
15 20241
16 20241

About Xingyi Wang

Xingyi Wang is a scholar working on Plant Science, Molecular Biology, Cell Biology, Computer Networks and Communications and Pollution, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (4 papers), Plant Stress Responses and Tolerance (3 papers), Seed Germination and Physiology (3 papers), Rice Cultivation and Yield Improvement (2 papers), Mycotoxins in Agriculture and Food (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Research in Cotton Cultivation (2 papers) and Genetics and Plant Breeding (2 papers). The work is most often cited by research in Plant Science (199 citations), Agronomy and Crop Science (39 citations), Experimental and Cognitive Psychology (36 citations), Cognitive Neuroscience (44 citations) and Genetics (39 citations). Xingyi Wang has collaborated with scholars based in China, Australia and Bangladesh. Frequent co-authors include Guijun Yan, Hui Liu, Jun Ma, Wenchao Zhen, Yanming Li, Hongguang Wang, Yuechen Zhang, Huijun Duan, Dongxiao Li and Ruiqi Li. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Plant Science, Crop and Pasture Science, BMC Plant Biology and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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