Mingxi Wan

3.8k citations
273 papers · 3.1k · h-index 28

Impact in

Papers in

Mingxi Wan

258 papers receiving 3.0k citations

Peers

Mingxi Wan
Comparison fields: 5 of 160
  • Radiology, Nuclear Medicine and Imaging 867
  • Biomedical Engineering 1.7k
  • Signal Processing 163
  • Materials Chemistry 656
  • Physiology 290
Replace Siping Chen with:
Siping Chen China
Xin Liu China
Chao Tao China
Tsuyoshi Shiina Japan
Geoff Dougherty United States
Sergio Casciaro Italy
Stephen J. Payne United Kingdom
Chandra M. Sehgal United States
Hong Chen United States
Michael S. Hughes United States
Mingxi Wan relative to Siping Chen China Siping Chen's profile →
Citations per field
00.5×3.2×
Siping Chen · 1×
Citations per year

Countries citing papers authored by Mingxi Wan

Since Specialization
Citations

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

Fields of papers citing papers by Mingxi Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 273 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004177
2 201770
3 200961
4 201255
5 201650
6 201945
7 201844
8 201444
9 200643
10 201841
11 200540
12 200940
13 201839
14 200639
15 201838
16 201836
17 201535
18 200633
19 200433
20 200633

About Mingxi Wan

Mingxi Wan is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Mechanics of Materials and Artificial Intelligence, having authored 273 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (129 papers), Photoacoustic and Ultrasonic Imaging (110 papers), Ultrasound Imaging and Elastography (89 papers), Ultrasound and Cavitation Phenomena (60 papers), Ultrasonics and Acoustic Wave Propagation (36 papers), Speech Recognition and Synthesis (25 papers), Voice and Speech Disorders (24 papers) and Phonetics and Phonology Research (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (867 citations), Biomedical Engineering (1.7k citations), Signal Processing (163 citations), Materials Chemistry (656 citations) and Physiology (290 citations). Mingxi Wan has collaborated with scholars based in China, United States and France. Frequent co-authors include Supin Wang, Yujin Zong, Siyuan Zhang, Katherine W. Ferrara, Paul A. Dayton, Susannah H. Bloch, Daocheng Wu, Shanshan Xu, Pengying Wu and Shifang Guo. Their work appears in journals such as Ultrasonics Sonochemistry, The Journal of the Acoustical Society of America, Ultrasonics, Ultrasound in Medicine & Biology and Medical Physics.

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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