Hui‐Chen Su

1.5k citations
57 papers · 1.1k · h-index 14

Impact in

Papers in

Hui‐Chen Su

52 papers receiving 1.1k citations

Peers

Hui‐Chen Su
Comparison fields: 5 of 126
  • Geriatrics and Gerontology 215
  • Biochemistry 77
  • Endocrinology, Diabetes and Metabolism 139
  • Pathology and Forensic Medicine 147
  • Physiology 35
Replace Yi Cai with:
Yi Cai China
Li Ran China
Jiantao Ye China
Huihui Wang China
Andrzej Buczyński Poland
Haojun Zhang China
Guangliang Hong China
Kai Ren China
Quan Liu China
Hui‐Chen Su relative to Yi Cai China Yi Cai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hui‐Chen Su

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Chen Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Chen Su. 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 Hui‐Chen Su. The network helps show where Hui‐Chen Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Hui‐Chen Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui‐Chen Su Line = papers co-authored together Hui‐Chen Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006355
2 2003197
3 200982
4 201052
5 200436
6 201035
7
Increase of insulin sensitivity in diabetic rats received die-huang-wan, a herbal mixture used in Chinese traditional medicine.
200233
8 200831
9 201127
10 201925
11 202220
12 202217
13 202016
14 202115
15 202113
16 202313
17 200213
18 201912
19 200112
20 202112

About Hui‐Chen Su

Hui‐Chen Su is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Molecular Biology, Geriatrics and Gerontology and Epidemiology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vibration and Dynamic Analysis (12 papers), Seismic Performance and Analysis (12 papers), Vibration Control and Rheological Fluids (6 papers), Structural Engineering and Vibration Analysis (3 papers), Dynamics and Control of Mechanical Systems (3 papers), Structural Load-Bearing Analysis (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Frailty in Older Adults (3 papers). The work is most often cited by research in Geriatrics and Gerontology (215 citations), Biochemistry (77 citations), Endocrinology, Diabetes and Metabolism (139 citations), Pathology and Forensic Medicine (147 citations) and Physiology (35 citations). Hui‐Chen Su has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Li‐Man Hung, I-Min Liu, Juei‐Tang Cheng, C. S. Tsai, Wang-Chuan Chen, Feng‐Lin Hsu, Daih‐Huang Kuo, Yung‐Chang Lin, Alicia Ai-cia Cheak and Chak Sing Lau. Their work appears in journals such as Earthquake Engineering and Engineering Vibration, BMC Geriatrics, Planta Medica, International Journal of Medical Sciences and The journal of nutrition health & aging.

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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