Wenying Ai

41 total papers · 1.1k total citations
25 papers, 909 citations indexed

About

Wenying Ai is a scholar working on Organic Chemistry, Materials Chemistry and Inorganic Chemistry. According to data from OpenAlex, Wenying Ai has authored 25 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Organic Chemistry, 11 papers in Materials Chemistry and 7 papers in Inorganic Chemistry. Recurrent topics in Wenying Ai's work include Covalent Organic Framework Applications (6 papers), Advanced Photocatalysis Techniques (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Wenying Ai is often cited by papers focused on Covalent Organic Framework Applications (6 papers), Advanced Photocatalysis Techniques (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Wenying Ai collaborates with scholars based in China, United States and Israel. Wenying Ai's co-authors include Qiang Liu, Rui Zhong, Xufang Liu, Yaqian Liu, Qian Wang, Zhong‐Lin Lu, Xiaoguang Lei, Pan Li, Chenguang Liu and Jingjing Zhao and has published in prestigious journals such as Chemical Reviews, Nature Communications and ACS Catalysis.

In The Last Decade

Wenying Ai

22 papers receiving 900 citations

Hit Papers

Hydride Transfer Reaction... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Wenying Ai 626 354 155 126 108 25 909
Liuqun Gu 479 0.8× 207 0.6× 102 0.7× 108 0.9× 139 1.3× 20 725
Qiangsheng Sun 645 1.0× 437 1.2× 82 0.5× 237 1.9× 91 0.8× 43 917
Zheming Sun 607 1.0× 250 0.7× 137 0.9× 163 1.3× 126 1.2× 15 885
Carles Ayats 504 0.8× 256 0.7× 214 1.4× 143 1.1× 127 1.2× 19 779
Harold Wiener 459 0.7× 227 0.6× 157 1.0× 211 1.7× 145 1.3× 20 822
Sara Sabater 705 1.1× 363 1.0× 102 0.7× 234 1.9× 110 1.0× 18 935
Itzel Guerrero‐Ríos 751 1.2× 365 1.0× 123 0.8× 94 0.7× 216 2.0× 31 952
Isabelle Favier 553 0.9× 274 0.8× 195 1.3× 272 2.2× 47 0.4× 32 850
Juana Herrero 550 0.9× 396 1.1× 79 0.5× 131 1.0× 96 0.9× 23 739
Peter Panster 555 0.9× 449 1.3× 166 1.1× 255 2.0× 45 0.4× 25 850

Countries citing papers authored by Wenying Ai

Since Specialization
Citations

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

Fields of papers citing papers by Wenying Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenying Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Wenying Ai. A scholar is included among the top collaborators of Wenying 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 Wenying Ai. Wenying 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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