Shaoying Ai

52 total papers · 2.2k total citations
32 papers, 1.6k citations indexed

About

Shaoying Ai is a scholar working on Plant Science, Pollution and Soil Science. According to data from OpenAlex, Shaoying Ai has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Pollution and 8 papers in Soil Science. Recurrent topics in Shaoying Ai's work include Plant Stress Responses and Tolerance (8 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Heavy metals in environment (6 papers). Shaoying Ai is often cited by papers focused on Plant Stress Responses and Tolerance (8 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Heavy metals in environment (6 papers). Shaoying Ai collaborates with scholars based in China, Egypt and Spain. Shaoying Ai's co-authors include Linfeng Li, Amr Elkelish, Ahmed Mahmoud, Mohamed Moustafa‐Farag, Yichun Li, Marino B. Arnao, Mingdeng Tang, Chengrong Chen, Jianming Xu and Bin Ma and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Shaoying Ai

32 papers receiving 1.6k citations

Hit Papers

Long-term nutrient inputs... 2019 2026 2021 2023 2019 2022 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shaoying Ai 922 385 363 213 179 32 1.6k
Muhammad Mohsin Altaf 1.2k 1.3× 455 1.2× 156 0.4× 228 1.1× 122 0.7× 66 2.1k
Muhammad Aamer 1.0k 1.1× 446 1.2× 210 0.6× 137 0.6× 95 0.5× 39 1.7k
Ihsan Muhammad 1.0k 1.1× 676 1.8× 110 0.3× 181 0.8× 133 0.7× 70 2.0k
Kashif Hayat 1.4k 1.5× 161 0.4× 480 1.3× 113 0.5× 116 0.6× 80 2.2k
Liang Chen 1.0k 1.1× 100 0.3× 433 1.2× 133 0.6× 77 0.4× 36 1.5k
Zhen Wu 805 0.9× 849 2.2× 193 0.5× 214 1.0× 229 1.3× 50 1.7k
Guoqin Huang 802 0.9× 487 1.3× 131 0.4× 149 0.7× 87 0.5× 78 1.4k
Lorenzo Barbanti 1.2k 1.3× 367 1.0× 108 0.3× 208 1.0× 77 0.4× 80 2.3k
Mohammad Nauman Khan 1.2k 1.4× 255 0.7× 227 0.6× 47 0.2× 41 0.2× 54 1.8k
Bushra Ahmed Alhammad 1.4k 1.5× 337 0.9× 297 0.8× 54 0.3× 50 0.3× 46 2.1k

Countries citing papers authored by Shaoying Ai

Since Specialization
Citations

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

Fields of papers citing papers by Shaoying Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoying Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoying Ai. A scholar is included among the top collaborators of Shaoying Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaoying Ai. Shaoying Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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