Pi-Shan Hsu

57 total papers · 463 total citations
34 papers, 319 citations indexed

About

Pi-Shan Hsu is a scholar working on Oncology, Artificial Intelligence and Geriatrics and Gerontology. According to data from OpenAlex, Pi-Shan Hsu has authored 34 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Artificial Intelligence and 5 papers in Geriatrics and Gerontology. Recurrent topics in Pi-Shan Hsu's work include Online and Blended Learning (4 papers), Frailty in Older Adults (4 papers) and Nutrition and Health in Aging (4 papers). Pi-Shan Hsu is often cited by papers focused on Online and Blended Learning (4 papers), Frailty in Older Adults (4 papers) and Nutrition and Health in Aging (4 papers). Pi-Shan Hsu collaborates with scholars based in Taiwan, South Korea and Japan. Pi-Shan Hsu's co-authors include Chung-Liang Lai, Wan-Chun Liao, Meng‐Chih Lee, Chun-Hou Wang, Wei‐Sheng Chung, Chi–Rong Li, Hsuan‐Hung Lin, Wei‐Min Chu, Chih‐Jung Yeh and Hanyu Chen and has published in prestigious journals such as Expert Systems with Applications, International Journal of Environmental Research and Public Health and Medicine.

In The Last Decade

Pi-Shan Hsu

29 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Pi-Shan Hsu 108 52 51 50 49 34 319
Vidmantas Alekna 98 0.9× 29 0.6× 71 1.4× 16 0.3× 11 0.2× 32 330
José Antonio García-Vidal 58 0.5× 20 0.4× 62 1.2× 52 1.0× 5 0.1× 36 328
Charalampos Matzaroglou 49 0.5× 86 1.7× 122 2.4× 33 0.7× 7 0.1× 28 361
Mitsuo Kanagae 40 0.4× 27 0.5× 74 1.5× 34 0.7× 4 0.1× 24 294
Ramires Alsamir Tibana 82 0.8× 26 0.5× 99 1.9× 11 0.2× 7 0.1× 25 326
Bryant A. Seamon 44 0.4× 33 0.6× 85 1.7× 11 0.2× 7 0.1× 26 327
M. Frost 74 0.7× 50 1.0× 54 1.1× 33 0.7× 3 0.1× 20 357
Semra Topuz 24 0.2× 23 0.4× 77 1.5× 17 0.3× 6 0.1× 44 274
Mariana Silva 59 0.5× 12 0.2× 64 1.3× 7 0.1× 17 0.3× 26 306
James P. Gavin 74 0.7× 7 0.1× 99 1.9× 18 0.4× 9 0.2× 39 345

Countries citing papers authored by Pi-Shan Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Pi-Shan Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi-Shan Hsu. 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 Pi-Shan Hsu. The network helps show where Pi-Shan Hsu may publish in the future.

Co-authorship network of co-authors of Pi-Shan Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Pi-Shan Hsu. A scholar is included among the top collaborators of Pi-Shan Hsu 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 Pi-Shan Hsu. Pi-Shan Hsu 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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