Yaping Liu

39 total papers · 529 total citations
23 papers, 261 citations indexed

About

Yaping Liu is a scholar working on Education, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Yaping Liu has authored 23 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Yaping Liu's work include Fractional Differential Equations Solutions (4 papers), School Choice and Performance (3 papers) and Parental Involvement in Education (3 papers). Yaping Liu is often cited by papers focused on Fractional Differential Equations Solutions (4 papers), School Choice and Performance (3 papers) and Parental Involvement in Education (3 papers). Yaping Liu collaborates with scholars based in China, Hong Kong and Macao. Yaping Liu's co-authors include Tao Lü, Faming Wang, Shing On Leung, Yousheng Shu, Wei Zhou, Yulong Wu, Haidong Lu, Lei Qu, Luping Yin and Minru Bai and has published in prestigious journals such as Diabetes, Cell Reports and Frontiers in Psychology.

In The Last Decade

Yaping Liu

19 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Yaping Liu 76 54 40 32 28 23 261
LieJune Shiau 37 0.5× 130 2.4× 43 1.1× 2 0.1× 8 0.3× 14 230
Robert L. Peach 81 1.1× 63 1.2× 18 0.5× 5 0.2× 10 0.4× 38 330
Pedro D. Maia 51 0.7× 95 1.8× 63 1.6× 68 2.1× 29 1.0× 25 299
Hamidreza Ramezanpour 54 0.7× 110 2.0× 8 0.2× 8 0.3× 8 0.3× 19 296
Henry R. Hirsch 22 0.3× 36 0.7× 101 2.5× 53 1.7× 23 0.8× 36 313
Kyle C. A. Wedgwood 27 0.4× 61 1.1× 80 2.0× 15 0.5× 9 0.3× 26 308
Stefan Engström 43 0.6× 64 1.2× 41 1.0× 76 2.4× 7 0.3× 17 295
Natalia Bielczyk 27 0.4× 125 2.3× 12 0.3× 7 0.2× 6 0.2× 17 248
Fail Gafarov 23 0.3× 50 0.9× 55 1.4× 7 0.2× 16 0.6× 38 270
Neha Sinha 14 0.2× 70 1.3× 8 0.2× 43 1.3× 1 0.0× 27 271

Countries citing papers authored by Yaping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Liu

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