I‐Hsuan Su

15 papers receiving 260 citations

Peers

I‐Hsuan Su
Comparison fields: 5 of 83
  • Orthopedics and Sports Medicine 42
  • Nephrology 16
  • Oral Surgery 12
  • Renewable Energy, Sustainability and the Environment 29
  • Physiology 36
Replace Gabrielle Gilmer with:
Gabrielle Gilmer United States
Jad Abi‐Rafeh Canada
Matthew C. Hess United States
Roozbeh Khosravi United States
Bian Wang China
Hirokazu Matsubara Japan
Ricarda Seemann Germany
Mingli Xiang China
Haoran Jiang China
Chee Weng Yong Singapore
I‐Hsuan Su relative to Gabrielle Gilmer United States Gabrielle Gilmer's profile →
Citations per field
00.5×2.6×
Gabrielle Gilmer · 1×
Citations per year

Countries citing papers authored by I‐Hsuan Su

Since Specialization
Citations

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

Fields of papers citing papers by I‐Hsuan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I‐Hsuan 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 I‐Hsuan Su Line = papers co-authored together I‐Hsuan Su links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199790
2 202446
3 202136
4 201826
5 200920
6 201916
7 201015
8 20225
9 20234
10 20204
11 20242
12 20242
13 20202
14
Applying Multilayer QFD to Assess Quality of Short Sea Shipping: An Empirical Study on Maritime Express Service between Taiwan and Mainland China
20171
15 20191
16 20111
17 20250
18 20240
19 20230

About I‐Hsuan Su

I‐Hsuan Su is a scholar working on Economics and Econometrics, Materials Chemistry, Ocean Engineering, Business and International Management and Renewable Energy, Sustainability and the Environment, having authored 19 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), Advanced Photocatalysis Techniques (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Maritime Ports and Logistics (2 papers), TiO2 Photocatalysis and Solar Cells (2 papers), Catalytic Processes in Materials Science (2 papers), Statistical Methods in Clinical Trials (2 papers) and E-commerce and Technology Innovations (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (42 citations), Nephrology (16 citations), Oral Surgery (12 citations), Renewable Energy, Sustainability and the Environment (29 citations) and Physiology (36 citations). I‐Hsuan Su has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Jeffrey C.S. Wu, Chun‐Yuh Yang, Chung‐Cheng Hsieh, Shijie Lan, M. Patricia Rivera, Daniel S. Reuland, Louise M. Henderson, Xiaomeng Chen, Jennifer L. Lund and Yi‐Hui Yu. Their work appears in journals such as American Journal of Epidemiology, International Journal of Logistics Research and Applications, Cancer Epidemiology Biomarkers & Prevention, JCO Clinical Cancer Informatics and Blood.

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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