Hu Peng

3.6k total citations · 2 hit papers
86 papers, 2.6k citations indexed

About

Hu Peng is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Hu Peng has authored 86 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 42 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Mechanics of Materials. Recurrent topics in Hu Peng's work include Ultrasound Imaging and Elastography (39 papers), Photoacoustic and Ultrasonic Imaging (35 papers) and Ultrasonics and Acoustic Wave Propagation (30 papers). Hu Peng is often cited by papers focused on Ultrasound Imaging and Elastography (39 papers), Photoacoustic and Ultrasonic Imaging (35 papers) and Ultrasonics and Acoustic Wave Propagation (30 papers). Hu Peng collaborates with scholars based in China, United Kingdom and United States. Hu Peng's co-authors include Xun Chen, Yü Liu, Zengfu Wang, Juan Cheng, Chichao Zheng, Fei Tang, Aiping Liu, Yingjie Liu, Chang Li and Chen He and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energy.

In The Last Decade

Hu Peng

75 papers receiving 2.5k citations

Hit Papers

Multi-focus image fusion with a deep convolutional neural... 2016 2026 2019 2022 2016 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hu Peng China 21 1.6k 1.3k 560 416 368 86 2.6k
Shuaiqi Liu China 27 760 0.5× 1.1k 0.8× 168 0.3× 247 0.6× 114 0.3× 134 2.3k
Chunping Hou China 38 1.2k 0.8× 2.8k 2.2× 387 0.7× 676 1.6× 63 0.2× 212 4.2k
Son Lam Phung Australia 24 239 0.2× 1.3k 1.1× 487 0.9× 353 0.8× 195 0.5× 150 2.6k
Haidi Ibrahim Malaysia 25 967 0.6× 2.2k 1.7× 121 0.2× 205 0.5× 164 0.4× 118 2.9k
Iuri Frosio Italy 14 642 0.4× 1.5k 1.2× 315 0.6× 261 0.6× 300 0.8× 53 2.5k
Yi Chang China 26 1.2k 0.8× 1.7k 1.3× 149 0.3× 388 0.9× 80 0.2× 68 2.5k
Eddy Ilg Germany 10 615 0.4× 4.2k 3.3× 268 0.5× 749 1.8× 215 0.6× 17 4.8k
Sheng Zhong China 25 908 0.6× 1.4k 1.1× 428 0.8× 280 0.7× 296 0.8× 84 2.1k
Xueyang Fu China 39 3.7k 2.4× 6.7k 5.3× 471 0.8× 178 0.4× 181 0.5× 116 7.5k
Runmin Cong China 38 2.2k 1.4× 6.1k 4.8× 206 0.4× 479 1.2× 208 0.6× 109 6.8k

Countries citing papers authored by Hu Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hu Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Peng. A scholar is included among the top collaborators of Hu Peng 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 Hu Peng. Hu Peng 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
1.
Li, Chang, et al.. (2024). CTCNet: A CNN Transformer capsule network for sleep stage classification. Measurement. 226. 114157–114157. 11 indexed citations
2.
Li, Chang, et al.. (2024). Test time adaptation for cross-domain sleep stage classification. Biomedical Signal Processing and Control. 100. 106980–106980.
3.
Huang, Lijie, et al.. (2023). Improved Ultrafast Power Doppler Imaging Using United Spatial–Angular Adaptive Scaling Wiener Postfilter. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(9). 1118–1134. 15 indexed citations
4.
5.
Huang, Lijie, Rui Wang, Qiong He, et al.. (2023). Improved Ultrafast Power Doppler Imaging by Using Spatial and Angular Coherence Factor. 1–4. 3 indexed citations
7.
Pan, Jingwen, et al.. (2022). Improving axial resolution based on the deconvolution recovery method combined with adaptive weighting techniques for ultrasound imaging. Technology and Health Care. 31(1). 217–237. 2 indexed citations
8.
Tang, Wei, Yü Liu, Juan Cheng, et al.. (2020). A phase congruency‐based green fluorescent protein and phase contrast image fusion method in nonsubsampled shearlet transform domain. Microscopy Research and Technique. 83(10). 1225–1234. 15 indexed citations
9.
Yang, Fengbao, et al.. (2020). Fusion method for infrared and other-type images based on the multi-scale Gaussian filtering and morphological transform. JOURNAL OF INFRARED AND MILLIMETER WAVES. 39(6). 810. 3 indexed citations
10.
Zhao, Wei, et al.. (2020). A joint delay-and-sum and Fourier beamforming method for high frame rate ultrasound imaging. Computer Modeling in Engineering & Sciences. 123(1). 427–440. 1 indexed citations
11.
Peng, Hu, et al.. (2019). Automation modulation recognition of the communication signals based on deep learning. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Zheng, Chichao, et al.. (2019). Adaptive scaling Wiener postfilter using generalized coherence factor for coherent plane-wave compounding. Computers in Biology and Medicine. 116. 103564–103564. 19 indexed citations
13.
Zheng, Chichao, et al.. (2018). Plane-wave Compounding with Short-lag Coherence Factor Weighting. 电子与信息学报. 40(12). 2919–2927. 1 indexed citations
14.
Peng, Hu, et al.. (2017). Sector-scanning 3D ultrasound imaging in frequency domain with 1D array transducer. Ultrasonics. 84. 1–8. 1 indexed citations
15.
Peng, Hu, et al.. (2017). 3D ultrasound imaging in frequency domain based on concepts of array beam and synthetic aperture. Ultrasonics. 84. 254–263. 3 indexed citations
16.
Zheng, Chichao, et al.. (2017). Short-lag spatial coherence combined with eigenspace-based minimum variance beamformer for synthetic aperture ultrasound imaging. Computers in Biology and Medicine. 91. 267–276. 21 indexed citations
17.
Peng, Hu, et al.. (2016). 3D ultrasound imaging in frequency domain with 1D array transducer. Ultrasonics. 76. 28–34. 10 indexed citations
18.
Peng, Hu, et al.. (2014). Medical ultrasound imaging based on cross-correlation adaptive weighting. Acta Physica Sinica. 63(14). 148702–148702. 2 indexed citations
19.
Peng, Hu, et al.. (2012). Chaotic frequency-modulating continuous wave for an ultrasonic doppler blood flow velocity measurement system. Acta Physica Sinica. 61(24). 248701–248701. 3 indexed citations
20.
Peng, Hu, et al.. (2004). Simulation Study on Application of Barker Code in the High fRame Rate Image System. 23(4).

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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