Meng‐Xing Tang

6.4k total citations · 2 hit papers
204 papers, 4.6k citations indexed

About

Meng‐Xing Tang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Meng‐Xing Tang has authored 204 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Biomedical Engineering, 126 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Materials Chemistry. Recurrent topics in Meng‐Xing Tang's work include Ultrasound and Hyperthermia Applications (127 papers), Photoacoustic and Ultrasonic Imaging (125 papers) and Ultrasound Imaging and Elastography (110 papers). Meng‐Xing Tang is often cited by papers focused on Ultrasound and Hyperthermia Applications (127 papers), Photoacoustic and Ultrasonic Imaging (125 papers) and Ultrasound Imaging and Elastography (110 papers). Meng‐Xing Tang collaborates with scholars based in United Kingdom, China and United States. Meng‐Xing Tang's co-authors include Robert J. Eckersley, Kirsten Christensen-Jeffries, Christopher Dunsby, Chee Hau Leow, Eleanor Stride, Richard J. Browning, Peter D. Weinberg, Jemma Brown, Sevan Harput and Helen Mulvana and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Meng‐Xing Tang

194 papers receiving 4.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Super-resolution Ultrasound Imaging

2020 343 citations Kirsten Christensen-Jeffries, Meng‐Xing Tang et al. Ultrasound in Medicine & Biology profile →
In Vivo Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles

2014 337 citations Kirsten Christensen-Jeffries, Meng‐Xing Tang et al. IEEE Transactions on Medical Imaging profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Meng‐Xing Tang	3.5k	2.7k	498	477	376	204	4.6k
Thomas E. Milner	5.3k 1.5×	2.7k 1.0×	477 1.0×	486 1.0×	507 1.3×	303	8.6k
D. Cathignol	1.8k 0.5×	1.2k 0.4×	480 1.0×	436 0.9×	311 0.8×	122	2.5k
Robin O. Cleveland	2.3k 0.7×	1.2k 0.5×	1.1k 2.3×	498 1.0×	150 0.4×	185	4.0k
Shigao Chen	4.2k 1.2×	4.4k 1.7×	277 0.6×	1.7k 3.5×	439 1.2×	228	6.6k
Vera A. Khokhlova	3.9k 1.1×	2.2k 0.8×	1.3k 2.6×	662 1.4×	218 0.6×	263	4.8k
Xin Liu	2.7k 0.8×	3.4k 1.3×	521 1.0×	84 0.2×	247 0.7×	294	6.3k
Raja Muthupillai	2.1k 0.6×	3.3k 1.2×	512 1.0×	665 1.4×	260 0.7×	96	5.4k
Michael L. Oelze	2.6k 0.7×	2.6k 1.0×	153 0.3×	1.1k 2.3×	207 0.6×	207	4.2k
Marcel Arditi	2.0k 0.6×	1.3k 0.5×	453 0.9×	472 1.0×	150 0.4×	78	2.8k
Oleg A. Sapozhnikov	3.9k 1.1×	2.0k 0.8×	1.6k 3.1×	997 2.1×	293 0.8×	303	5.3k

Countries citing papers authored by Meng‐Xing Tang

Since Specialization

Citations

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

Fields of papers citing papers by Meng‐Xing Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Xing Tang. 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 Meng‐Xing Tang. The network helps show where Meng‐Xing Tang may publish in the future.

Co-authorship network of co-authors of Meng‐Xing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Xing Tang. A scholar is included among the top collaborators of Meng‐Xing Tang 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 Meng‐Xing Tang. Meng‐Xing Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yan, Jipeng, Biao Huang, Matthieu Toulemonde, et al.. (2024). Ultrafast 3-D Transcutaneous Super Resolution Ultrasound Using Row-Column Array Specific Coherence-Based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, in Rabbit and in Human Study. Ultrasound in Medicine & Biology. 50(7). 1045–1057. 14 indexed citations

Yan, Jipeng, Matthieu Toulemonde, Qingyuan Tan, et al.. (2024). Transthoracic ultrasound localization microscopy of myocardial vasculature in patients. Nature Biomedical Engineering. 8(6). 689–700. 38 indexed citations

Zhang, Jiaxing, Marc Fournelle, Mohamad Rahal, et al.. (2024). Live Demonstration: A Wearable Eight-Channel A-Mode Ultrasound System for Hand Gesture Recognition and Interactive Gaming. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–1. 1 indexed citations

Rowland, Ethan M., et al.. (2024). Detecting heart failure from B-mode ultrasound characterization of arterial pulse waves. American Journal of Physiology-Heart and Circulatory Physiology. 327(1). H80–H88.

Wang, Bingxue, Kai Riemer, Matthieu Toulemonde, et al.. (2023). Broad Elevation Projection Super-Resolution Ultrasound (BEP-SRUS) Imaging With a 1-D Unfocused Linear Array. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(2). 255–265.

Yan, Jipeng, Bingxue Wang, Kai Riemer, et al.. (2023). Fast 3D Super-Resolution Ultrasound With Adaptive Weight-Based Beamforming. IEEE Transactions on Biomedical Engineering. 70(9). 2752–2761. 15 indexed citations

Yan, Jipeng, et al.. (2023). Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging In Vivo. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(12). 1739–1748. 9 indexed citations

Ibáñez, Jaime, et al.. (2023). Non-Linearity in Motor Unit Velocity Twitch Dynamics: Implications for Ultrafast Ultrasound Source Separation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 3699–3710. 6 indexed citations

Barsakcioglu, Deren Y., et al.. (2023). High Performance Wearable Ultrasound as a Human-Machine Interface for Wrist and Hand Kinematic Tracking. IEEE Transactions on Biomedical Engineering. 71(2). 484–493. 18 indexed citations

10.

Barsakcioglu, Deren Y., et al.. (2022). Kinematics of individual muscle units in natural contractions measured in vivo using ultrafast ultrasound. Journal of Neural Engineering. 19(5). 56005–56005. 15 indexed citations

11.

Allott, Louis, Chris Barnes, Javier Hernández‐Gil, et al.. (2021). A kit-based aluminium-[¹⁸F]fluoride approach to radiolabelled microbubbles. Chemical Communications. 57(88). 11677–11680. 6 indexed citations

12.

Leow, Chee Hau, et al.. (2021). Investigating CXCR4 expression of tumor cells and the vascular compartment: A multimodal approach. PLoS ONE. 16(11). e0260186–e0260186. 1 indexed citations

13.

Davies, Harry J., et al.. (2020). Imaging With Therapeutic Acoustic Wavelets–Short Pulses Enable Acoustic Localization When Time of Arrival is Combined With Delay and Sum. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(1). 178–190. 9 indexed citations

14.

Agudo, Òscar Calderón, et al.. (2020). Spatial Response Identification for Flexible and Accurate Ultrasound Transducer Calibration and its Application to Brain Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(1). 143–153. 5 indexed citations

15.

Harput, Sevan, Kirsten Christensen-Jeffries, Alessandro Ramalli, et al.. (2019). 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(2). 269–277. 93 indexed citations

16.

Christensen-Jeffries, Kirsten, Jemma Brown, Sevan Harput, et al.. (2019). Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(7). 1246–1254. 49 indexed citations

17.

Zhou, Xiaowei, Chee Hau Leow, Ethan M. Rowland, et al.. (2018). 3-D Velocity and Volume Flow Measurement $In~Vivo$ Using Speckle Decorrelation and 2-D High-Frame-Rate Contrast-Enhanced Ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(12). 2233–2244. 24 indexed citations

18.

Stanziola, Antonio, Chee Hau Leow, Eleni Bazigou, Peter D. Weinberg, & Meng‐Xing Tang. (2018). ASAP: Super-Contrast Vasculature Imaging Using Coherence Analysis and High Frame-Rate Contrast Enhanced Ultrasound. IEEE Transactions on Medical Imaging. 37(8). 1847–1856. 36 indexed citations

19.

Toulemonde, Matthieu, Yuanwei Li, Shengtao Lin, et al.. (2018). High-Frame-Rate Contrast Echocardiography Using Diverging Waves: Initial In Vitro and In Vivo Evaluation. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(12). 2212–2221. 13 indexed citations

20.

Elson, Daniel S., Rui Li, Christopher Dunsby, Robert J. Eckersley, & Meng‐Xing Tang. (2011). Ultrasound-mediated optical tomography: a review of current methods. Interface Focus. 1(4). 632–648. 58 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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