Hao Peng

489 total citations · 1 hit paper
39 papers, 350 citations indexed

About

Hao Peng is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hao Peng has authored 39 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 10 papers in Atomic and Molecular Physics, and Optics and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hao Peng's work include Photonic and Optical Devices (5 papers), Cardiovascular Disease and Adiposity (4 papers) and Laser Design and Applications (4 papers). Hao Peng is often cited by papers focused on Photonic and Optical Devices (5 papers), Cardiovascular Disease and Adiposity (4 papers) and Laser Design and Applications (4 papers). Hao Peng collaborates with scholars based in China, Hong Kong and United States. Hao Peng's co-authors include Yihui Wu, Fang Qian, Fengshun Wu, Wei Wang, Changqing Liu, Xiahui Tang, Vadim V. Silberschmidt, Y.C. Chan, Guang Chen and Chao Zou and has published in prestigious journals such as Scientific Reports, Optics Letters and Magnetic Resonance in Medicine.

In The Last Decade

Hao Peng

36 papers receiving 330 citations

Hit Papers

Biomechanics in the tumor microenvironment: from biologic... 2025 2026 2025 5 10 15
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.

  1. Biomechanics in the tumor microenvironment: from biological functions to potential clinical applications
    2025 17 citations Hao Peng, Zefeng Wang et al. Experimental Hematology and Oncology profile →

Peers

Hao Peng
S. Vázquez-Montiel Mexico
Masashi Okada Japan
Liang Zhou China
Jiancheng Lai China
Takeaki Yoshimura Japan
Yao Xie China
J. Czarske Germany
Philip R. Bingham United States
S. Vázquez-Montiel Mexico
Hao Peng
Citations per year, relative to Hao Peng Hao Peng (= 1×) peers S. Vázquez-Montiel

Countries citing papers authored by Hao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Peng. A scholar is included among the top collaborators of Hao 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 Hao Peng. Hao 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.
Mei, Qi, Chunguang Yang, Jing Luo, et al.. (2025). Immunological synapse: structures, molecular mechanisms and therapeutic implications in disease. Signal Transduction and Targeted Therapy. 10(1). 254–254. 2 indexed citations
2.
Peng, Hao, Zefeng Wang, Xiaodong Hao, et al.. (2025). Biomechanics in the tumor microenvironment: from biological functions to potential clinical applications. Experimental Hematology and Oncology. 14(1). 4–4. 17 indexed citations breakdown →
3.
Peng, Hao, et al.. (2024). Direct generation of arbitrary complex fields from a ring laser resonator. Chinese Optics Letters. 22(11). 111405–111405. 1 indexed citations
4.
Ouyang, Jihong, et al.. (2023). LEA U-Net: a U-Net-based deep learning framework with local feature enhancement and attention for retinal vessel segmentation. Complex & Intelligent Systems. 9(6). 6753–6766. 21 indexed citations
5.
Zhang, Lei, Qian Wan, Hao Peng, et al.. (2023). Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images. Magnetic Resonance Materials in Physics Biology and Medicine. 37(2). 215–226. 1 indexed citations
6.
Chen, Min, et al.. (2023). Fatty Acids Composition of the Sacroiliac Joint in Axial Spondyloarthritis: Analysis Using 3.0 T Chemical Shift‐Encoded MRI. Journal of Magnetic Resonance Imaging. 60(3). 1027–1034. 2 indexed citations
7.
Peng, Hao, Qian Wan, Xin Liu, et al.. (2022). Automatic segmentation of human supraclavicular adipose tissue using high-resolution T2-weighted magnetic resonance imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 36(4). 641–649. 3 indexed citations
8.
Wang, Zhiming, Hao Peng, Qian Wan, et al.. (2021). Automatic segmentation of whole-body adipose tissue from magnetic resonance fat fraction images based on machine learning. Magnetic Resonance Materials in Physics Biology and Medicine. 35(2). 193–203. 8 indexed citations
9.
Peng, Hao, et al.. (2020). Review of Resonant Gate Driver From the Perspective of Driving Energy and Time. IEEE Journal of Emerging and Selected Topics in Power Electronics. 9(5). 6344–6360. 6 indexed citations
10.
11.
Peng, Hao, Chao Zou, Changjun Tie, et al.. (2019). Fat‐water separation based on Transition REgion Extraction (TREE). Magnetic Resonance in Medicine. 82(1). 436–448. 11 indexed citations
12.
Liu, Mingchen, et al.. (2018). Power and chirp effects on the frequency stability of resonant dispersive waves generated in photonic crystal fibres. Scientific Reports. 8(1). 181–181. 1 indexed citations
13.
Qian, Fang, Yihui Wu, & Hao Peng. (2017). A fully automated algorithm of baseline correction based on wavelet feature points and segment interpolation. Optics & Laser Technology. 96. 202–207. 40 indexed citations
14.
Chen, Guang, Hao Peng, Vadim V. Silberschmidt, et al.. (2016). Performance of Sn–3.0Ag–0.5Cu composite solder with TiC reinforcement: Physical properties, solderability and microstructural evolution under isothermal ageing. Journal of Alloys and Compounds. 685. 680–689. 66 indexed citations
15.
Peng, Hao, et al.. (2016). An investigation on the ZnO retained ratio, microstructural evolution, and mechanical properties of ZnO doped Sn3.0Ag0.5Cu composite solder joints. Journal of Materials Science Materials in Electronics. 27(9). 9083–9093. 18 indexed citations
16.
Wu, Yihui, et al.. (2016). Encoded error calibration for a coded aperture spectrometer based on deconvolution. Applied Optics. 55(6). 1500–1500. 2 indexed citations
17.
18.
Peng, Hao, et al.. (2012). Band-limited angular spectrum numerical propagation method with selective scaling of observation window size and sample number. Journal of the Optical Society of America A. 29(11). 2415–2415. 22 indexed citations
19.
Tang, Xiahui, et al.. (2012). Wide-window angular spectrum method for diffraction propagation in far and near field. Optics Letters. 37(23). 4943–4943. 32 indexed citations
20.
Tang, Xiahui, Juan Liu, Du Wang, et al.. (2009). Toric concave mirror laser resonator with a big Fresnel number. Optics Letters. 34(7). 1120–1120. 4 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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