Yu-Hsin Wang

40 papers receiving 480 citations

Peers

Yu-Hsin Wang
Comparison fields: 5 of 94
  • Geriatrics and Gerontology 24
  • Radiology, Nuclear Medicine and Imaging 133
  • Biomedical Engineering 229
  • Health Informatics 5
  • Mechanics of Materials 84
Replace Chong-Ke Zhao with:
Chong-Ke Zhao China
Georgia S. Karanasiou Greece
Zhengyuan Luo China
Lejla Alić Netherlands
Andreas Kurth Germany
Jianfeng Hou China
Huaguang Li China
Jithin Jose Netherlands
Chuanlong Zhang China
Craig J. Galbán United States
Yu-Hsin Wang relative to Chong-Ke Zhao China Chong-Ke Zhao's profile →
Citations per field
00.5×8.4×
Chong-Ke Zhao · 1×
Citations per year

Countries citing papers authored by Yu-Hsin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Hsin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Hsin Wang. 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 Yu-Hsin Wang. The network helps show where Yu-Hsin Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu-Hsin Wang, 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 Yu-Hsin Wang Line = papers co-authored together Yu-Hsin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201459
3 201257
4 201453
5 201233
6 201632
7 201424
8 201515
9 202314
10 202011
11 202110
12 20079
13 20108
14 20208
15 20087
16 20146
17 20226
18 20175
19 20225
20 20225

About Yu-Hsin Wang

Yu-Hsin Wang is a scholar working on Biomedical Engineering, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, Information Systems and Mechanics of Materials, having authored 44 papers that have together received 497 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (12 papers), Ultrasound and Hyperthermia Applications (7 papers), Nanoplatforms for cancer theranostics (5 papers), Ultrasound Imaging and Elastography (4 papers), IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (4 papers), Thermography and Photoacoustic Techniques (3 papers) and Thin-Film Transistor Technologies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (24 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Biomedical Engineering (229 citations), Health Informatics (5 citations) and Mechanics of Materials (84 citations). Yu-Hsin Wang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Pai‐Chi Li, Ai‐Ho Liao, Churng‐Ren Chris Wang, Yu‐Wen Tien, Tzu‐Pin Lu, Bang‐Bin Chen, Chien‐Hui Wu, Ming‐Chih Ho, Xiaoyang Cheng and Argon Chen. Their work appears in journals such as Scientific Reports, Ultrasound in Medicine & Biology, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Ultrasonic Imaging and Energies.

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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