Mingxi Wan

3.8k total citations
264 papers, 2.9k citations indexed

About

Mingxi Wan is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Mingxi Wan has authored 264 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Biomedical Engineering, 116 papers in Radiology, Nuclear Medicine and Imaging and 59 papers in Materials Chemistry. Recurrent topics in Mingxi Wan's work include Ultrasound and Hyperthermia Applications (130 papers), Photoacoustic and Ultrasonic Imaging (117 papers) and Ultrasound Imaging and Elastography (99 papers). Mingxi Wan is often cited by papers focused on Ultrasound and Hyperthermia Applications (130 papers), Photoacoustic and Ultrasonic Imaging (117 papers) and Ultrasound Imaging and Elastography (99 papers). Mingxi Wan collaborates with scholars based in China, United States and France. Mingxi Wan's co-authors include Supin Wang, Yujin Zong, Siyuan Zhang, Katherine W. Ferrara, Susannah H. Bloch, Paul A. Dayton, Daocheng Wu, Shanshan Xu, Pengying Wu and Shifang Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Mingxi Wan

248 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingxi Wan China 27 1.8k 1.0k 622 365 292 264 2.9k
Chao Tao China 25 1.0k 0.6× 394 0.4× 185 0.3× 292 0.8× 391 1.3× 134 2.1k
Siping Chen China 37 1.4k 0.8× 1.1k 1.1× 527 0.8× 1.5k 4.1× 108 0.4× 271 4.9k
Tsuyoshi Shiina Japan 30 2.5k 1.4× 2.7k 2.7× 134 0.2× 222 0.6× 56 0.2× 190 4.1k
Yanping Huang China 32 1.2k 0.7× 544 0.5× 164 0.3× 94 0.3× 51 0.2× 180 3.9k
Geoff Dougherty United States 27 762 0.4× 966 1.0× 139 0.2× 158 0.4× 155 0.5× 139 2.4k
Stephen J. Payne United Kingdom 28 621 0.4× 1.3k 1.3× 426 0.7× 38 0.1× 89 0.3× 201 2.9k
Dong‐Hoon Lee South Korea 30 695 0.4× 1.6k 1.6× 1.1k 1.7× 84 0.2× 47 0.2× 229 3.5k
Michael S. Hughes United States 29 1.1k 0.7× 572 0.6× 411 0.7× 53 0.1× 75 0.3× 113 2.3k
Sergio Casciaro Italy 25 580 0.3× 434 0.4× 89 0.1× 134 0.4× 104 0.4× 125 2.1k
Hong Chen United States 34 2.2k 1.2× 1.0k 1.0× 849 1.4× 33 0.1× 103 0.4× 174 3.7k

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-authorship network of co-authors of Mingxi Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxi Wan. A scholar is included among the top collaborators of Mingxi Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingxi Wan. Mingxi Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wan, Mingxi, Yingchao Wang, Bin Lü, et al.. (2025). Flexible composite films constructed of MXene/cellulose nanofibers/natural fiber-based activated carbon fibers for high-performance flexible supercapacitors. International Journal of Biological Macromolecules. 309(Pt 2). 142838–142838. 6 indexed citations
3.
Liu, Hengyu, Chen Zhao, Liang Bai, et al.. (2025). Emerging synergistic strategies for enhanced antibacterial sonodynamic therapy: Advances and prospects. Ultrasonics Sonochemistry. 116. 107288–107288. 3 indexed citations
4.
Xu, Pengfei, Jing Zhao, Mingxi Wan, et al.. (2024). Classification of multi‐feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks. Medical Physics. 51(6). 4243–4257. 5 indexed citations
5.
6.
Liu, Jiacheng, et al.. (2024). Overlapping microbubble localization based on multiscale statistical features for ultrasound super-resolution imaging. Biomedical Signal Processing and Control. 100. 107092–107092.
8.
Zou, Qin, et al.. (2023). Three-dimensional ultrasound image reconstruction based on 3D-ResNet in the musculoskeletal system using a 1D probe: ex vivo and in vivo feasibility studies. Physics in Medicine and Biology. 68(16). 165003–165003. 1 indexed citations
9.
Ilovitsh, Tali, et al.. (2023). Ratiometric Fluorescent Detection of Ultrasound-Regulated ATP Release: An Ultrasound-Resistant Cu,N-Doped Carbon Nanosphere. ACS Applied Materials & Interfaces. 15(27). 32732–32743. 3 indexed citations
10.
Cao, Fangyuan, et al.. (2022). Non-Invasive Ultrasound Modulation of Solitary Tract Nucleus Exerts a Sustainable Antihypertensive Effect in Spontaneously Hypertensive Rats. IEEE Transactions on Biomedical Engineering. 70(6). 1869–1878. 7 indexed citations
11.
Guo, Shifang, et al.. (2020). Manipulation of Nanodroplets via a Nonuniform Focused Acoustic Vortex. Physical Review Applied. 13(3). 22 indexed citations
12.
Zhang, Hongmei, et al.. (2020). Statistical and Texture Descriptors of Symptomatic Plantar Fasciitis Using Ultrasound Shear Wave Elastography. IEEE Access. 8. 120146–120159. 1 indexed citations
13.
Dong, Wei, Pengying Wu, Shifang Guo, et al.. (2020). Plasmid-loadable magnetic/ultrasound-responsive nanodroplets with a SPIO-NP dispersed perfluoropentane core and lipid shell for tumor-targeted intracellular plasmid delivery. Biomaterials Science. 8(19). 5329–5345. 25 indexed citations
14.
Zhang, Hongmei, Ying Guo, Pengying Wu, et al.. (2020). Fluidity and elasticity form a concise set of viscoelastic biomarkers for breast cancer diagnosis based on Kelvin–Voigt fractional derivative modeling. Biomechanics and Modeling in Mechanobiology. 19(6). 2163–2177. 24 indexed citations
15.
Zhang, Siyuan, Shan Wu, Xin Jia, et al.. (2019). Detection and Monitoring of Thermal Lesions Induced by Microwave Ablation Using Ultrasound Imaging and Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics. 24(4). 965–973. 17 indexed citations
16.
Zhang, Hongmei, Litao Ruan, Furong Zhang, et al.. (2019). Von Mises Strain as a Risk Marker for Vulnerability of Carotid Plaque: Preliminary Clinical Evaluation of Cerebral Infarction. Ultrasound in Medicine & Biology. 45(5). 1221–1233. 7 indexed citations
17.
Qin, Dui, Youshen Wu, Bowen Jing, et al.. (2018). Laser-Activated Bioprobes with High Photothermal Conversion Efficiency for Sensitive Photoacoustic/Ultrasound Imaging and Photothermal Sensing. ACS Applied Materials & Interfaces. 10(35). 29251–29259. 39 indexed citations
18.
Wang, Supin, et al.. (2018). Radiated Noise Suppression for Electrolarynx Speech Based on Multiband Time-Domain Amplitude Modulation. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(9). 1585–1593. 9 indexed citations
19.
Wang, Supin, et al.. (2018). Reconstruction of Mandarin Electrolaryngeal Fricatives With Hybrid Noise Source. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(2). 383–391. 2 indexed citations
20.
Zhang, Hongmei, et al.. (2017). Modeling ramp-hold indentation measurements based on Kelvin–Voigt fractional derivative model. Measurement Science and Technology. 29(3). 35701–35701. 27 indexed citations

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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