Yanting Ma

654 total citations
28 papers, 401 citations indexed

About

Yanting Ma is a scholar working on Computational Mechanics, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanting Ma has authored 28 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 11 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanting Ma's work include Sparse and Compressive Sensing Techniques (14 papers), Advanced Optical Sensing Technologies (6 papers) and Image and Signal Denoising Methods (5 papers). Yanting Ma is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Advanced Optical Sensing Technologies (6 papers) and Image and Signal Denoising Methods (5 papers). Yanting Ma collaborates with scholars based in United States and Canada. Yanting Ma's co-authors include Dror Baron, Vivek K Goyal, Joshua Rapp, Robin M. A. Dawson, Hoover Rueda, Gonzalo R. Arce, Chungwei Lin, Dries Sels, Christopher Yu and John Murray–Bruce and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Yanting Ma

26 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanting Ma United States	10	156	134	126	103	56	28	401
Miguel Heredia Conde Germany	8	122 0.8×	36 0.3×	85 0.7×	67 0.7×	14 0.3×	67	249
John Murray–Bruce United States	10	217 1.4×	23 0.2×	126 1.0×	79 0.8×	35 0.6×	27	416
Jorge Bacca Colombia	11	20 0.1×	121 0.9×	169 1.3×	164 1.6×	30 0.5×	55	420
Dayan Li China	11	36 0.2×	25 0.2×	159 1.3×	155 1.5×	43 0.8×	25	450
Lingyun Qiu China	13	75 0.5×	37 0.3×	92 0.7×	21 0.2×	17 0.3×	38	394
Ronan Kerviche United States	4	18 0.1×	371 2.8×	235 1.9×	250 2.4×	29 0.5×	8	507
Claudia V. Correa Colombia	10	15 0.1×	208 1.6×	194 1.5×	112 1.1×	19 0.3×	25	382
Abhijit Mahalanobis United States	10	36 0.2×	82 0.6×	108 0.9×	282 2.7×	10 0.2×	42	545
Marco La Manna United States	7	265 1.7×	12 0.1×	100 0.8×	34 0.3×	56 1.0×	12	332
Kuldeep Kulkarni United States	7	30 0.2×	469 3.5×	279 2.2×	314 3.0×	22 0.4×	12	657

Countries citing papers authored by Yanting Ma

Since Specialization

Citations

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

Fields of papers citing papers by Yanting Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanting Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yanting Ma. A scholar is included among the top collaborators of Yanting 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 Yanting Ma. Yanting Ma 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

1.

Lin, Chungwei, Petros T. Boufounos, Yanting Ma, et al.. (2025). Time-optimal single-scalar control on a qubit of unitary dynamics. Physical review. A. 111(4).

2.

Ma, Yanting, et al.. (2023). Deep Proximal Gradient Method for Learned Convex Regularizers. 24. 1–5. 2 indexed citations

3.

Ma, Yanting, et al.. (2023). Deep Born Operator Learning for Reflection Tomographic Imaging. 1–5. 1 indexed citations

4.

Mansour, Hassan, et al.. (2021). A Consensus Equilibrium Solution For Deep Image Prior Powered By Red. 1380–1384. 3 indexed citations

5.

Lin, Chungwei, Yanting Ma, & Dries Sels. (2021). Optimal control for quantum metrology via Pontryagin's principle. Physical review. A. 103(5). 19 indexed citations

6.

Murray–Bruce, John, et al.. (2020). Two-Dimensional Non-Line-of-Sight Scene Estimation from a Single Edge\n Occluder. arXiv (Cornell University). 29 indexed citations

7.

Yu, Lantao, Dehong Liu, Hassan Mansour, Petros T. Boufounos, & Yanting Ma. (2020). Blind Multi-Spectral Image Pan-Sharpening. 6 indexed citations

8.

Rapp, Joshua, Yanting Ma, Robin M. A. Dawson, & Vivek K Goyal. (2020). High-flux single-photon lidar. Optica. 8(1). 30–30. 67 indexed citations

9.

Rapp, Joshua, Yanting Ma, Robin M. A. Dawson, & Vivek K Goyal. (2020). Predicting Dead Time Distortion for High-Flux Single-Photon Lidar. Conference on Lasers and Electro-Optics. 361. ATu3T.3–ATu3T.3.

10.

Rapp, Joshua, Yanting Ma, Robin M. A. Dawson, & Vivek K Goyal. (2019). Dead Time Compensation for High-flux Depth Imaging. 46. 7805–7809. 1 indexed citations

11.

Rapp, Joshua, Yanting Ma, Robin M. A. Dawson, & Vivek K Goyal. (2019). Dead Time Compensation for High-Flux Ranging. IEEE Transactions on Signal Processing. 67(13). 3471–3486. 49 indexed citations

12.

Ma, Yanting, Cynthia Rush, & Dror Baron. (2019). Analysis of Approximate Message Passing With Non-Separable Denoisers and Markov Random Field Priors. IEEE Transactions on Information Theory. 65(11). 7367–7389. 11 indexed citations

13.

Ma, Yanting, Hassan Mansour, Dehong Liu, Petros T. Boufounos, & Ulugbek S. Kamilov. (2018). Accelerated Image Reconstruction for Nonlinear Diffractive Imaging. 6473–6477. 9 indexed citations

14.

Ma, Yanting, Cynthia Rush, & Dror Baron. (2017). Analysis of approximate message passing with a class of non-separable denoisers. 231–235. 8 indexed citations

15.

Ma, Yanting, Yue M. Lu, & Dror Baron. (2017). Multiprocessor approximate message passing with column-wise partitioning. 4765–4769. 3 indexed citations

16.

Ma, Yanting, et al.. (2015). Compressive Imaging via Approximate Message Passing With Image Denoising. IEEE Transactions on Signal Processing. 63(8). 2085–2092. 53 indexed citations

17.

Ma, Yanting, Dror Baron, & Ahmad Beirami. (2015). Mismatched estimation in large linear systems. 760–764. 2 indexed citations

18.

Ma, Yanting, Dror Baron, & Deanna Needell. (2014). Two-Part Reconstruction With Noisy-Sudocodes. IEEE Transactions on Signal Processing. 62(23). 0–0. 2 indexed citations

19.

Ma, Yanting, et al.. (2014). Compressive imaging via approximate message passing with wavelet-based image denoising. 424–428. 5 indexed citations

20.

Ma, Yanting, Dror Baron, & Deanna Needell. (2013). Two-part reconstruction in compressed sensing. 1041–1044. 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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