Ying‐Ying Liu

8.6k citations
220 papers · 7.9k indexed · h-index 50
Topics
Metal-Organic Frameworks: Synthesis and Applications (154 papers)Magnetism in coordination complexes (81 papers)Polyoxometalates: Synthesis and Applications (41 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Ying‐Ying Liu

216 papers receiving 7.8k citations

Peers

Ying‐Ying Liu
Comparison fields: 5 of 100
  • Inorganic Chemistry 6.6k
  • Materials Chemistry 3.9k
  • Electronic, Optical and Magnetic Materials 3.3k
  • Oncology 1.4k
  • Organic Chemistry 1.3k
Replace Xiao‐Chun Huang with:
Xiao‐Chun Huang China
Hyungphil Chun South Korea
Liqing Ma United States
En‐Qing Gao China
Chun‐Sen Liu China
Donatella Armentano Italy
Victor Kravtsov Moldova
Long Jiang China
Ya‐Pan Wu China
Guo‐Cheng Liu China
Ying‐Ying Liu relative to Xiao‐Chun Huang China Xiao‐Chun Huang's profile →
Citations per field
00.5×1.7×
Xiao‐Chun Huang · 1×
Citations per year

Countries citing papers authored by Ying‐Ying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Ying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Ying Liu. 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 Ying‐Ying Liu. The network helps show where Ying‐Ying Liu may publish in the future.

Co-authorship network of co-authors of Ying‐Ying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Ying Liu. A scholar is included among the top collaborators of Ying‐Ying Liu 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 Ying‐Ying Liu. Ying‐Ying Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Grading rice grains using a multi-structure neural network approach.
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17 74
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19 125
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About Ying‐Ying Liu

Ying‐Ying Liu is a scholar working on Inorganic Chemistry, Electronic, Optical and Magnetic Materials and Process Chemistry and Technology, having authored 220 papers that have together received 7.9k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (154 papers), Magnetism in coordination complexes (81 papers) and Polyoxometalates: Synthesis and Applications (41 papers). The work is most often cited by research in Inorganic Chemistry (6.6k citations), Electronic, Optical and Magnetic Materials (3.3k citations) and Process Chemistry and Technology (277 citations). Ying‐Ying Liu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Jian‐Fang Ma, Jin Yang, Wei‐Qiu Kan, Bo Liu, Hua Wu, Ji‐Cheng Ma, Stuart R. Batten, Zhong‐Min Su, Shuyan Song and Yuan‐Chun He. Their work appears in journals such as Chemistry of Materials, Advanced Functional Materials and The Science of The Total Environment.

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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