Hsueh-Kuan Lu

472 total citations
22 papers, 338 citations indexed

About

Hsueh-Kuan Lu is a scholar working on Physiology, Electrical and Electronic Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, Hsueh-Kuan Lu has authored 22 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 13 papers in Electrical and Electronic Engineering and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Hsueh-Kuan Lu's work include Body Composition Measurement Techniques (19 papers), Electrical and Bioimpedance Tomography (13 papers) and Nutrition and Health in Aging (11 papers). Hsueh-Kuan Lu is often cited by papers focused on Body Composition Measurement Techniques (19 papers), Electrical and Bioimpedance Tomography (13 papers) and Nutrition and Health in Aging (11 papers). Hsueh-Kuan Lu collaborates with scholars based in Taiwan and United States. Hsueh-Kuan Lu's co-authors include Kuen-Chang Hsieh, Hong‐Nong Chou, Yu-Yawn Chen, Chung-Liang Lai, Li‐Wen Lee, Yuesheng Wang, Gregory B. Dwyer, Chia‐Wei Wang, Ming‐Kuei Shih and Yongcheng Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nutrients.

In The Last Decade

Hsueh-Kuan Lu

21 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hsueh-Kuan Lu Taiwan 9 186 51 50 32 32 22 338
Giuseppe Cerullo Italy 12 230 1.2× 38 0.7× 20 0.4× 89 2.8× 71 2.2× 28 493
S. Severi Italy 12 305 1.6× 72 1.4× 74 1.5× 20 0.6× 26 0.8× 18 467
Fernanda Donner Alves Brazil 12 395 2.1× 24 0.5× 115 2.3× 41 1.3× 31 1.0× 26 488
S. Suzuki India 9 218 1.2× 59 1.2× 10 0.2× 36 1.1× 58 1.8× 45 498
Marcos Antônio Pereira dos Santos Brazil 9 67 0.4× 15 0.3× 19 0.4× 42 1.3× 54 1.7× 61 276
Afsane Ahmadi Iran 12 112 0.6× 98 1.9× 12 0.2× 31 1.0× 18 0.6× 40 433
María Concepción Robles Gil Spain 14 95 0.5× 23 0.5× 5 0.1× 84 2.6× 144 4.5× 65 511
Luke Liddle United Kingdom 9 232 1.2× 42 0.8× 5 0.1× 28 0.9× 7 0.2× 13 540
Marta Delsoglio Switzerland 9 209 1.1× 18 0.4× 6 0.1× 43 1.3× 31 1.0× 18 389
Juan Marcelo Fernández Spain 10 151 0.8× 105 2.1× 4 0.1× 33 1.0× 67 2.1× 20 494

Countries citing papers authored by Hsueh-Kuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hsueh-Kuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsueh-Kuan Lu. 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 Hsueh-Kuan Lu. The network helps show where Hsueh-Kuan Lu may publish in the future.

Co-authorship network of co-authors of Hsueh-Kuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsueh-Kuan Lu. A scholar is included among the top collaborators of Hsueh-Kuan Lu 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 Hsueh-Kuan Lu. Hsueh-Kuan Lu 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
1.
Lu, Hsueh-Kuan, et al.. (2025). Comparison study of bioelectrical impedance analyzers for measuring lower limb muscle mass in middle-aged and elderly adults. Frontiers in Nutrition. 12. 1546499–1546499. 1 indexed citations
2.
Lai, Yeong-Kang, et al.. (2024). Estimation equation of limb lean soft tissue mass in Asian athletes using bioelectrical impedance analysis. PLoS ONE. 19(8). e0300911–e0300911.
3.
Lai, Chung-Liang, et al.. (2024). Comparison of whole body bone mineral density measurements between dual energy X-ray absorptiometry and novel bioelectrical impedance analysis. Scientific Reports. 14(1). 29127–29127. 2 indexed citations
4.
Lu, Hsueh-Kuan, et al.. (2023). Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults. PLoS ONE. 18(3). e0275884–e0275884. 1 indexed citations
5.
Lai, Chung-Liang, et al.. (2022). Bioimpedance analysis combined with sagittal abdominal diameter for abdominal subcutaneous fat measurement. Frontiers in Nutrition. 9. 952929–952929. 2 indexed citations
6.
Lee, Li‐Wen, et al.. (2021). Prediction of Nonalcoholic Fatty Liver Disease by Anthropometric Indices and Bioelectrical Impedance Analysis in Children. Childhood Obesity. 17(8). 551–558. 6 indexed citations
7.
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
8.
Lu, Hsueh-Kuan, et al.. (2021). Assessment of total and regional bone mineral density using bioelectrical impedance vector analysis in elderly population. Scientific Reports. 11(1). 21161–21161. 6 indexed citations
9.
10.
Lu, Hsueh-Kuan, et al.. (2020). Comparison of Bioelectrical Impedance Analysis and Dual Energy X-ray Absorptiometry for Total and Segmental Bone Mineral Content with a Three-Compartment Model. International Journal of Environmental Research and Public Health. 17(7). 2595–2595. 35 indexed citations
11.
Lee, Li‐Wen, et al.. (2019). Performance of Bioelectrical Impedance Analysis in the Estimation of Bone Mineral Content in Healthy Children Aged 6–12 Years. Journal of Clinical Densitometry. 23(3). 411–417. 6 indexed citations
12.
13.
Lee, Li‐Wen, et al.. (2017). Validation of two portable bioelectrical impedance analyses for the assessment of body composition in school age children. PLoS ONE. 12(2). e0171568–e0171568. 64 indexed citations
14.
Lu, Hsueh-Kuan, et al.. (2017). Evaluation of a Leg-to-Leg Bioimpedance Device in the Estimation of Abdominal Visceral Fat for the Elderly – Comparison with CT. International journal of gerontology. 11(3). 144–148. 3 indexed citations
15.
Lu, Hsueh-Kuan, et al.. (2017). Discrepancies between leg-to-leg bioelectrical Impedance analysis and computerized tomography in abdominal visceral fat measurement. Scientific Reports. 7(1). 9102–9102. 15 indexed citations
16.
Chen, Yu-Yawn, Chia‐Wei Wang, Chung-Liang Lai, et al.. (2016). Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population. PLoS ONE. 11(7). e0160105–e0160105. 31 indexed citations
17.
18.
Hsieh, Kuen-Chang, et al.. (2013). The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly. Nutrition Journal. 12(1). 21–21. 8 indexed citations
19.
Lu, Hsueh-Kuan, et al.. (2011). The bioelectrical impedance analysis with newly predictive equations for measuring segments body composition of elite male football players in Taiwan. Scientific Research and Essays. 6(24). 5131–5137. 3 indexed citations
20.
Lu, Hsueh-Kuan, et al.. (2006). Preventive effects of Spirulina platensis on skeletal muscle damage under exercise-induced oxidative stress. European Journal of Applied Physiology. 98(2). 220–226. 115 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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