Xiaoyan Ai

1.5k citations
52 papers · 1.1k · h-index 20

Impact in

Papers in

    • Soil Carbon and Nitrogen Dynamics 18
    • Soil erosion and sediment transport 15
    • Soil Management and Crop Yield 5
    • Plant Molecular Biology Research 13

Xiaoyan Ai

48 papers receiving 1.1k citations

Peers

Xiaoyan Ai
Comparison fields: 5 of 83
  • Soil Science 326
  • Horticulture 19
  • Plant Science 537
  • Management, Monitoring, Policy and Law 104
  • Environmental Chemistry 58
Replace Carmen Sílvia Vieira Janeiro Neves with:
Carmen Sílvia Vieira Janeiro Neves Brazil
Yanjun Guo China
O. P. Chaturvedi India
Antônio Carlos Tadeu Vitorino Brazil
Lili Mao China
Fabiano de Carvalho Balieiro Brazil
Luiz Fernando Carvalho Leite Brazil
Weichao Liu China
M. H. A. Husni Malaysia
Philippe Thaler France
Xiaoyan Ai relative to Carmen Sílvia Vieira Janeiro Neves Brazil Carmen Sílvia Vieira Janeiro Neves's profile →
Citations per field
00.5×5.0×
Carmen Sílvia Vieira Janeiro Neves · 1×
Citations per year

Countries citing papers authored by Xiaoyan Ai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013166
2 201864
3 202162
4 202160
5 201151
6 201747
7 201946
8 201142
9 201240
10 201838
11 201637
12 202134
13 202231
14 201829
15 201426
16 202326
17 202125
18 201822
19 202020
20 201120

About Xiaoyan Ai

Xiaoyan Ai is a scholar working on Soil Science, Plant Science, Molecular Biology, Civil and Structural Engineering and Ecology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (18 papers), Soil erosion and sediment transport (15 papers), Plant Molecular Biology Research (13 papers), Soil and Unsaturated Flow (10 papers), Plant Reproductive Biology (10 papers), Soil and Water Nutrient Dynamics (6 papers), Plant Gene Expression Analysis (6 papers) and Soil Management and Crop Yield (5 papers). The work is most often cited by research in Soil Science (326 citations), Horticulture (19 citations), Plant Science (537 citations), Management, Monitoring, Policy and Law (104 citations) and Environmental Chemistry (58 citations). Xiaoyan Ai has collaborated with scholars based in China, Malaysia and Hong Kong. Frequent co-authors include Jin‐Zhi Zhang, Yingwei Ai, Chun‐Gen Hu, Shenghao Ai, Mengke Zhu, Wen‐Wu Guo, Xiuxin Deng, Leiming Sun, Jiao Chen and Tianjia Liu. Their work appears in journals such as Land Degradation and Development, Journal of Environmental Management, Soil and Tillage Research, The Science of The Total Environment and BMC Genomics.

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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