Supin Wang

1.2k citations
73 papers · 954 · h-index 18

Impact in

Papers in

Supin Wang

73 papers receiving 920 citations

Peers

Supin Wang
Comparison fields: 5 of 95
  • Signal Processing 150
  • Physiology 273
  • Radiology, Nuclear Medicine and Imaging 229
  • Experimental and Cognitive Psychology 132
  • Biomedical Engineering 442
Replace Y. Medan with:
Y. Medan Israel
Anne Schützenberger Germany
Lucie Bailly France
Yuan Zhao China
Y. Kinouchi Japan
Marta Borowska Poland
Robert Splinter United States
Rongjian Zhao China
Xiuzhen Dong China
Canhua Xu China
Supin Wang relative to Y. Medan Israel Y. Medan's profile →
Citations per field
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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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200961
2 201255
3 201844
4 200643
5 200940
6 201838
7 200633
8 200630
9 201428
10 200825
11 201524
12 201120
13 200719
14 200619
15 200518
16 202018
17 200618
18 200617
19 201617
20 201217

About Supin Wang

Supin Wang is a scholar working on Biomedical Engineering, Artificial Intelligence, Physiology, Experimental and Cognitive Psychology and Signal Processing, having authored 73 papers that have together received 954 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (29 papers), Speech Recognition and Synthesis (26 papers), Voice and Speech Disorders (24 papers), Photoacoustic and Ultrasonic Imaging (21 papers), Phonetics and Phonology Research (17 papers), Ultrasound Imaging and Elastography (15 papers), Ultrasound and Cavitation Phenomena (15 papers) and Speech and Audio Processing (14 papers). The work is most often cited by research in Signal Processing (150 citations), Physiology (273 citations), Radiology, Nuclear Medicine and Imaging (229 citations), Experimental and Cognitive Psychology (132 citations) and Biomedical Engineering (442 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, Hui Zhong, Shanshan Xu, 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 IEEE Transactions on Biomedical Engineering.

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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