Pi-Shan Hsu

472 total citations
35 papers, 329 citations indexed

About

Pi-Shan Hsu is a scholar working on Oncology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Pi-Shan Hsu has authored 35 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Artificial Intelligence and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Pi-Shan Hsu's work include Frailty in Older Adults (4 papers), Online and Blended Learning (4 papers) and Palliative Care and End-of-Life Issues (4 papers). Pi-Shan Hsu is often cited by papers focused on Frailty in Older Adults (4 papers), Online and Blended Learning (4 papers) and Palliative Care and End-of-Life Issues (4 papers). Pi-Shan Hsu collaborates with scholars based in Taiwan, Japan and South Korea. Pi-Shan Hsu's co-authors include Chung-Liang Lai, Wan-Chun Liao, Meng‐Chih Lee, Chun-Hou Wang, Chi–Rong Li, Hsuan‐Hung Lin, Wei‐Sheng Chung, Wei‐Min Chu, Hanyu Chen and Shu‐Hsin Lee 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

30 papers receiving 315 citations

Peers

Pi-Shan Hsu
Pi-Shan Hsu
Citations per year, relative to Pi-Shan Hsu Pi-Shan Hsu (= 1×) peers Vidmantas Alekna

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

20 of 20 papers shown
3.
Chang, Taeun, Chia‐Yu Chen, Pi-Shan Hsu, et al.. (2024). Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan. Diagnostics. 15(1). 72–72. 2 indexed citations
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Hsu, Pi-Shan, Wei‐Ju Lee, Li‐Ning Peng, et al.. (2024). Safeguarding vitality and cognition: The role of sarcopenia in intrinsic capacity decline among octogenarians from multiple cohorts. The journal of nutrition health & aging. 28(6). 100268–100268. 12 indexed citations
6.
Hsu, Pi-Shan, et al.. (2023). Impact of the COVID-19 pandemic on population-based cancer screening, a nationwide retrospective study in Taiwan. BMC Health Services Research. 23(1). 878–878. 2 indexed citations
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Chang, Yu‐Chen, et al.. (2021). Trend analysis of palliative care consultation service for terminally ill non-cancer patients in Taiwan: a 9-year observational study. BMC Palliative Care. 20(1). 181–181. 17 indexed citations
11.
Hsu, Pi-Shan, Kuen-Chang Hsieh, Yu-Yawn Chen, et al.. (2021). Standing 8-Electrode Bioelectrical Impedance Analysis as an Alternative Method to Estimate Visceral Fat Area and Body Fat Mass in Athletes. International Journal of General Medicine. Volume 14. 539–548. 12 indexed citations
12.
Hsu, Pi-Shan, Ie‐Bin Lian, & Day‐Yu Chao. (2020). <p>A Population-Based Propensity Score-Matched Study to Assess the Impact of Repeated Vaccination on Vaccine Effectiveness for Influenza-Associated Hospitalization Among the Elderly</p>. Clinical Interventions in Aging. Volume 15. 301–312. 8 indexed citations
13.
Hsu, Pi-Shan, et al.. (2018). [Sharing Perspectives on Home Healthcare].. PubMed. 65(1). 5–10. 3 indexed citations
14.
Lai, Chung-Liang, et al.. (2017). Post-acute care for stroke &ndash; a retrospective cohort study in Taiwan. Patient Preference and Adherence. Volume 11. 1309–1315. 26 indexed citations
15.
Hsu, Pi-Shan, Hsuan‐Hung Lin, Chi–Rong Li, & Wei‐Sheng Chung. (2017). Increased risk of stroke in patients with osteoarthritis: a population-based cohort study. Osteoarthritis and Cartilage. 25(7). 1026–1031. 36 indexed citations
16.
Hsu, Pi-Shan, et al.. (2016). Effect of Two Frequencies of Whole-Body Vibration Training on Balance and Flexibility of the Elderly. American Journal of Physical Medicine & Rehabilitation. 95(10). 730–737. 24 indexed citations
17.
Lai, Chung-Liang, et al.. (2016). Influence of Whole-Body Vibration Training Without Visual Feedback on Balance and Lower-Extremity Muscle Strength of the Elderly. Medicine. 95(5). e2709–e2709. 14 indexed citations
18.
Lee, Meng‐Chih, et al.. (2013). Effect of 6 months of whole body vibration on lumbar spine bone density in postmenopausal women: a randomized controlled trial. Clinical Interventions in Aging. 8. 1603–1603. 80 indexed citations
19.
Hsu, Pi-Shan. (2012). LEARNER CHARACTERISTIC BASED LEARNING EFFORT CURVE MODE: THE CORE MECHANISM ON DEVELOPING PERSONALIZED ADAPTIVE E- LEARNING PLATFORM. ˜The œturkish online journal of educational technology. 11(4). 210–220. 7 indexed citations
20.
Hsu, Pi-Shan, et al.. (2009). A New Diagnostic Mechanism of Instruction. International Journal of Distance Education Technologies. 7(3). 85–91. 2 indexed citations

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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