Cheng Ma

3.3k total citations · 1 hit paper
55 papers, 1.7k citations indexed

About

Cheng Ma is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Acoustics and Ultrasonics. According to data from OpenAlex, Cheng Ma has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 18 papers in Electrical and Electronic Engineering and 15 papers in Acoustics and Ultrasonics. Recurrent topics in Cheng Ma's work include Photoacoustic and Ultrasonic Imaging (24 papers), Random lasers and scattering media (15 papers) and Optical Imaging and Spectroscopy Techniques (11 papers). Cheng Ma is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (24 papers), Random lasers and scattering media (15 papers) and Optical Imaging and Spectroscopy Techniques (11 papers). Cheng Ma collaborates with scholars based in China, United States and Singapore. Cheng Ma's co-authors include Lihong V. Wang, Yan Liu, Yuecheng Shen, Junhui Shi, Xiao Xu, Liren Zhu, Wanyi Chen, Junjie Yao, Lidai Wang and Li Lin and has published in prestigious journals such as Advanced Materials, Nature Communications and Applied Physics Letters.

In The Last Decade

Cheng Ma

52 papers receiving 1.6k citations

Hit Papers

Single-impulse panoramic photoacoustic computed tomograph... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Ma China 20 1.0k 578 340 327 298 55 1.7k
Jiamiao Yang China 15 423 0.4× 341 0.6× 382 1.1× 64 0.2× 158 0.5× 52 862
Jung‐Hoon Park South Korea 19 601 0.6× 615 1.1× 470 1.4× 51 0.2× 219 0.7× 69 1.3k
Huanhao Li Hong Kong 17 364 0.4× 399 0.7× 230 0.7× 81 0.2× 72 0.2× 34 712
Haowen Ruan United States 15 694 0.7× 1.0k 1.8× 498 1.5× 140 0.4× 118 0.4× 26 1.3k
David Kittle United States 14 858 0.9× 189 0.3× 180 0.5× 170 0.5× 171 0.6× 33 1.7k
Martin Laurenzis France 21 352 0.3× 290 0.5× 126 0.4× 61 0.2× 404 1.4× 91 1.4k
Moonseok Kim South Korea 16 674 0.7× 798 1.4× 544 1.6× 93 0.3× 232 0.8× 26 1.3k
Tongyi Zhang China 21 338 0.3× 51 0.1× 389 1.1× 93 0.3× 326 1.1× 102 1.5k
Martin Plöschner United Kingdom 15 702 0.7× 446 0.8× 446 1.3× 42 0.1× 277 0.9× 29 1.2k
Mooseok Jang South Korea 15 489 0.5× 629 1.1× 357 1.1× 80 0.2× 88 0.3× 31 943

Countries citing papers authored by Cheng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ma. A scholar is included among the top collaborators of Cheng Ma 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 Cheng Ma. Cheng Ma 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.
Guo, Yunpeng, Cheng Ma, & Huanglong Li. (2025). Temporal Dynamics Makes Memristive Physical Unclonable Functions More Secure and Ultra‐Lightweight. Advanced Electronic Materials. 11(20).
3.
Guo, Yunpeng, Xue Liu, Xinxin Wang, et al.. (2023). Generative complex networks within a dynamic memristor with intrinsic variability. Nature Communications. 14(1). 6134–6134. 19 indexed citations
4.
Chen, Chaoyi, Yuwen Chen, Lulu Zhang, et al.. (2022). Dual-targeting nanozyme for tumor activatable photo-chemodynamic theranostics. Journal of Nanobiotechnology. 20(1). 466–466. 13 indexed citations
5.
Qiao, Hui, et al.. (2021). Deep learning in photoacoustic imaging: a review. Journal of Biomedical Optics. 26(4). 59 indexed citations
6.
Wang, Xuanhao, Yan Luo, Chaoyi Chen, et al.. (2021). A Skull-Removed Chronic Cranial Window for Ultrasound and Photoacoustic Imaging of the Rodent Brain. Frontiers in Neuroscience. 15. 673740–673740. 13 indexed citations
7.
Wang, Xuanhao, et al.. (2020). Adaptive photoacoustic computed tomography. Photoacoustics. 21. 100223–100223. 23 indexed citations
8.
Li, Lei, Liren Zhu, Cheng Ma, et al.. (2017). Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. Nature Biomedical Engineering. 1(5). 355 indexed citations breakdown →
9.
Liu, Yan, Cheng Ma, Yuecheng Shen, Junhui Shi, & Lihong V. Wang. (2017). Focusing light inside dynamic scattering media with millisecond digital optical phase conjugation. Optica. 4(2). 280–280. 130 indexed citations
10.
Shen, Yuecheng, Yan Liu, Cheng Ma, & Lihong V. Wang. (2017). Sub-Nyquist sampling boosts targeted light transport through opaque scattering media. Optica. 4(1). 97–97. 27 indexed citations
11.
Zhu, Liren, Yu‐Jia Chen, Jinyang Liang, et al.. (2016). Space- and intensity-constrained reconstruction for compressed ultrafast photography. Optica. 3(7). 694–694. 49 indexed citations
12.
Lan, Qing, Ailin Chen, Tan Zhang, et al.. (2016). Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery. World Neurosurgery. 91. 434–442. 39 indexed citations
13.
Liu, Yan, Puxiang Lai, Cheng Ma, et al.. (2015). Optical focusing deep inside dynamic scattering media with near-infrared time-reversed ultrasonically encoded (TRUE) light. Nature Communications. 6(1). 5904–5904. 162 indexed citations
14.
Ma, Cheng, et al.. (2015). Single-exposure optical focusing inside scattering media using binarized time-reversed adapted perturbation. Optica. 2(10). 869–869. 40 indexed citations
15.
Ma, Cheng, Xiao Xu, & Lihong V. Wang. (2015). Analog time-reversed ultrasonically encoded light focusing inside scattering media with a 33,000× optical power gain. Scientific Reports. 5(1). 8896–8896. 7 indexed citations
16.
Ma, Cheng, Xiao Xu, Yan Liu, & Lihong V. Wang. (2014). Time-reversed adapted-perturbation (TRAP) optical focusing onto dynamic objects inside scattering media. Nature Photonics. 8(12). 931–936. 108 indexed citations
17.
Fan, Wenhui, et al.. (2013). Novel models and algorithms of load balancing for variable-structured collaborative simulation under HLA/RTI. Chinese Journal of Mechanical Engineering. 26(4). 629–640. 2 indexed citations
18.
Ma, Cheng, Brian L. Scott, Gary Pickrell, & Anbo Wang. (2010). Porous capillary tubing waveguide for multigas sensing. Optics Letters. 35(3). 315–315. 12 indexed citations
19.
Ma, Cheng & Anbo Wang. (2010). Multimode excitation-induced phase shifts in intrinsic Fabry–Perot interferometric fiber sensor spectra. Applied Optics. 49(25). 4836–4836. 6 indexed citations
20.
Pickrell, Gary, Cheng Ma, & Anbo Wang. (2008). Bending-induced optical loss in random-hole optical fibers. Optics Letters. 33(13). 1443–1443. 3 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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