Supin Wang

1.2k citations
71 papers · 918 · h-index 18

Impact in

Papers in

Supin Wang

71 papers receiving 885 citations

Peers

Supin Wang
Comparison fields: 5 of 94
  • Signal Processing 148
  • Physiology 260
  • Radiology, Nuclear Medicine and Imaging 226
  • Experimental and Cognitive Psychology 126
  • Biomedical Engineering 432
Replace Y. Medan with:
Y. Medan Israel
Anne Schützenberger Germany
Lucie Bailly France
Yuan Zhao China
Marta Borowska Poland
Y. Kinouchi Japan
Robert Splinter United States
Lüder A. Kahrs Germany
Xiuzhen Dong China
Rongjian Zhao China
Supin Wang relative to Y. Medan Israel Y. Medan's profile →
Citations per field
00.5×10×15×18.6×
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Citations per year

Countries citing papers authored by Supin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Supin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200959
2 201253
3 201843
4 200642
5 200939
6 201838
7 200632
8 200629
9 201427
10 200824
11 201522
12 200719
13 200619
14 201119
15 200518
16 202018
17 200617
18 200617
19 201617
20 201216

About Supin Wang

Supin Wang is a scholar working on Biomedical Engineering, Artificial Intelligence, Physiology, Experimental and Cognitive Psychology and Signal Processing, having authored 71 papers that have together received 918 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (28 papers), Speech Recognition and Synthesis (25 papers), Voice and Speech Disorders (23 papers), Photoacoustic and Ultrasonic Imaging (20 papers), Phonetics and Phonology Research (16 papers), Ultrasound Imaging and Elastography (15 papers), Ultrasound and Cavitation Phenomena (14 papers) and Speech and Audio Processing (14 papers). The work is most often cited by research in Signal Processing (148 citations), Physiology (260 citations), Radiology, Nuclear Medicine and Imaging (226 citations), Experimental and Cognitive Psychology (126 citations) and Biomedical Engineering (432 citations). Supin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mingxi Wan, Siyuan Zhang, Hanjun Liu, Ronald C. Scherer, Liang Wu, Xulei Qin, Shanshan Xu, Hui Zhong, Nan Chang and Dui Qin. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Voice, Ultrasonics Sonochemistry, Ultrasonics and Speech Communication.

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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