Congzhi Wang

1.3k total citations
49 papers, 1.0k citations indexed

About

Congzhi Wang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Congzhi Wang has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Biomedical Engineering, 30 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Mechanics of Materials. Recurrent topics in Congzhi Wang's work include Ultrasound Imaging and Elastography (30 papers), Photoacoustic and Ultrasonic Imaging (19 papers) and Ultrasound and Hyperthermia Applications (15 papers). Congzhi Wang is often cited by papers focused on Ultrasound Imaging and Elastography (30 papers), Photoacoustic and Ultrasonic Imaging (19 papers) and Ultrasound and Hyperthermia Applications (15 papers). Congzhi Wang collaborates with scholars based in China, Hong Kong and United States. Congzhi Wang's co-authors include Hairong Zheng, Yang Xiao, Jun Shi, Weibao Qiu, Qi Zhang, Wei Dai, Qi Zhang, Yongchuan Li, Teng Ma and Rongqin Zheng and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Congzhi Wang

47 papers receiving 1.0k citations

Peers

Congzhi Wang

RNMI

EPIDE

Parag V. Chitnis United States

Matthew McCormick United States

Robert Gray United Kingdom

Jeffrey A. Ketterling United States

Fabian Isensee Germany

Raffaella Righetti United States

Shanshan Tang China

S. Kaisar Alam United States

Jean Martial Mari Singapore

Hong‐Seng Gan Malaysia

Parag V. Chitnis United States

Congzhi Wang

505 ×0.8

296 ×0.5

RNMI

81 ×0.4

196 ×1.1

8 ×0.1

EPIDE

Citations per year, relative to Congzhi Wang Congzhi Wang (= 1×) peers Parag V. Chitnis

Countries citing papers authored by Congzhi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Congzhi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congzhi Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiao, Yang, Congzhi Wang, Min Pan, et al.. (2021). Ultrasonic characterization of localized passive elastic properties of human pennate muscle with a single-probe setup. Ultrasonics. 116. 106512–106512. 4 indexed citations

Zhang, Jingke, Qiong He, Yang Xiao, et al.. (2021). Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network. Medical Image Analysis. 70. 102018–102018. 58 indexed citations

Zhang, Qi, Qingyuan Tan, Jiamei Liu, et al.. (2021). 1.5-Dimensional Circular Array Transducer for In Vivo Endoscopic Ultrasonography. IEEE Transactions on Biomedical Engineering. 68(10). 2930–2939. 6 indexed citations

Zhang, Qi, Teng Ma, Congzhi Wang, et al.. (2021). Transformable Ultrasonic Array Transducer for Multiscale Imaging and Beamforming. IEEE Transactions on Industrial Electronics. 69(3). 3078–3087. 14 indexed citations

Liu, Chengbo, Chen Qiu, Dong He, et al.. (2019). In vivo transrectal imaging of canine prostate with a sensitive and compact handheld transrectal array photoacoustic probe for early diagnosis of prostate cancer. Biomedical Optics Express. 10(4). 1707–1707. 17 indexed citations

Qiu, Weibao, Jingjing Xia, Congzhi Wang, et al.. (2017). A Delayed-Excitation Data Acquisition Method for High-Frequency Ultrasound Imaging. IEEE Transactions on Biomedical Engineering. 65(1). 15–20. 11 indexed citations

Zhang, Qi, Yang Xiao, Wei Dai, et al.. (2016). Deep learning based classification of breast tumors with shear-wave elastography. Ultrasonics. 72. 150–157. 180 indexed citations

Wang, Congzhi, Yang Xiao, Jingjing Xia, Weibao Qiu, & Hairong Zheng. (2016). Effects of Non-Elevation-Focalized Linear Array Transducer on Ultrasound Plane-Wave Imaging. Sensors. 16(11). 1906–1906. 2 indexed citations

Li, Guofeng, Hui Zhou, Fei Yan, et al.. (2016). Improved Anatomical Specificity of Non-invasive Neuro-stimulation by High Frequency (5 MHz) Ultrasound. Scientific Reports. 6(1). 24738–24738. 95 indexed citations

10.

Qiu, Weibao, Congzhi Wang, Yongchuan Li, et al.. (2015). A scanning-mode 2D shear wave imaging (s2D-SWI) system for ultrasound elastography. Ultrasonics. 62. 89–96. 10 indexed citations

11.

Wang, Congzhi, Tianjie Li, & Yong‐Ping Zheng. (2014). Shear Modulus Estimation on Vastus Intermedius of Elderly and Young Females over the Entire Range of Isometric Contraction. PLoS ONE. 9(7). e101769–e101769. 31 indexed citations

12.

Zhang, Qi, Yang Xiao, Daiwen Chen, Congzhi Wang, & Hairong Zheng. (2014). Quantification of Elastic Heterogeneity Using Contourlet-Based Texture Analysis in Shear-Wave Elastography for Breast Tumor Classification. Ultrasound in Medicine & Biology. 41(2). 588–600. 47 indexed citations

13.

Wang, Congzhi, et al.. (2014). Comparative study on shear wave speed estimation algorithms in ARFI for improving its reliability. PubMed. 34. 226–229. 2 indexed citations

14.

Qiu, Weibao, Guofeng Li, Congzhi Wang, et al.. (2014). A programmable ultrasound platform for multi-gate Doppler measurement. 59. 1619–1621. 1 indexed citations

15.

Xiao, Yang, et al.. (2013). Strain estimation in elastography using scale-invariant keypoints tracking. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(4). 706–717. 6 indexed citations

16.

Xiao, Yang, Jie Zeng, Lili Niu, et al.. (2013). Computer-Aided Diagnosis Based on Quantitative Elastographic Features with Supersonic Shear Wave Imaging. Ultrasound in Medicine & Biology. 40(2). 275–286. 49 indexed citations

17.

Wang, Congzhi, Jian Zheng, Zeping Huang, et al.. (2013). Influence of Measurement Depth on the Stiffness Assessment of Healthy Liver with Real-Time Shear Wave Elastography. Ultrasound in Medicine & Biology. 40(3). 461–469. 78 indexed citations

18.

Zhang, Xue, Yang Xiao, Jie Zeng, et al.. (2013). Computer-assisted assessment of ultrasound real-time elastography: Initial experience in 145 breast lesions. European Journal of Radiology. 83(1). e1–e7. 18 indexed citations

19.

Wang, Congzhi, et al.. (2012). Using vibro-ultrasound method to assess the vastus intermedius stiffness over the entire range of step isometric contraction of knee extensors. 36. 1351–1354. 2 indexed citations

20.

Zhou, Yongjin, et al.. (2006). Extraction of Respiratory Activity from Photoplethysmographic Signals Based on an Independent Component Analysis Technique: Preliminary Report. Instrumentation Science & Technology. 34(5). 537–545. 16 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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