Hsing‐Yuan Liu

38 total papers · 690 total citations
32 papers, 493 citations indexed

About

Hsing‐Yuan Liu is a scholar working on Experimental and Cognitive Psychology, Education and General Health Professions. According to data from OpenAlex, Hsing‐Yuan Liu has authored 32 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 11 papers in Education and 8 papers in General Health Professions. Recurrent topics in Hsing‐Yuan Liu's work include Creativity in Education and Neuroscience (14 papers), Education and Critical Thinking Development (6 papers) and Perfectionism, Procrastination, Anxiety Studies (5 papers). Hsing‐Yuan Liu is often cited by papers focused on Creativity in Education and Neuroscience (14 papers), Education and Critical Thinking Development (6 papers) and Perfectionism, Procrastination, Anxiety Studies (5 papers). Hsing‐Yuan Liu collaborates with scholars based in Taiwan, United States and Australia. Hsing‐Yuan Liu's co-authors include Shu‐Yuan Chao, Mary J. Clark, Tsung‐Lan Chu, Ding‐Hau Huang, Victoria J. Kain, Chin‐Yen Han, Ming‐Chang Wu, Hsiu‐Min Tsai, Hsiao‐Mei Chen and Ming‐Feng Hou and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Advanced Nursing and Journal of Clinical Nursing.

In The Last Decade

Hsing‐Yuan Liu

32 papers receiving 469 citations

Author Peers

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

Author Last Decade Papers Cites
Hsing‐Yuan Liu 124 113 106 84 79 32 493
Maria Soledad Rodrı́guez González 79 0.6× 140 1.2× 121 1.1× 78 0.9× 73 0.9× 34 540
Kevin M. Kieffer 81 0.7× 69 0.6× 178 1.7× 59 0.7× 33 0.4× 20 537
África Borges del Rosal 92 0.7× 155 1.4× 173 1.6× 59 0.7× 39 0.5× 69 495
Marie Hammer 50 0.4× 227 2.0× 71 0.7× 42 0.5× 99 1.3× 26 527
Léandre Bouffard 78 0.6× 50 0.4× 122 1.2× 81 1.0× 64 0.8× 39 466
Dennis Thompson 59 0.5× 88 0.8× 149 1.4× 66 0.8× 48 0.6× 28 424
Ryan Best 85 0.7× 67 0.6× 42 0.4× 52 0.6× 107 1.4× 18 520
Matthias Reitzle 83 0.7× 128 1.1× 108 1.0× 86 1.0× 46 0.6× 22 451
Cristian A. Rojas‐Barahona 44 0.4× 182 1.6× 148 1.4× 87 1.0× 82 1.0× 41 461
Anna Ekström 101 0.8× 41 0.4× 49 0.5× 97 1.2× 70 0.9× 36 478

Countries citing papers authored by Hsing‐Yuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hsing‐Yuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsing‐Yuan Liu

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