Yi Ma
Impact in
- Computational Mathematics top 0.1%
- Computer Vision and Pattern Recognition top 0.02%
- Face and Expression Recognition
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
Papers in
-
- Advanced Vision and Imaging 65
- Face and Expression Recognition 27
- Advanced Image and Video Retrieval Techniques 27
- Advanced Image Processing Techniques 24
- Image and Signal Denoising Methods 21
- Optical measurement and interference techniques 19
-
- Sparse and Compressive Sensing Techniques 61
- Co-authors
- John Wright (32 shared papers)Emmanuel J. Candès (5 shared papers)Xiaodong Li (2 shared papers)S. Shankar Sastry (40 shared papers)Arvind Ganesh (19 shared papers)Shuicheng Yan (4 shared papers)Zhouchen Lin (10 shared papers)Bed Poudel (11 shared papers)
- Journals
- International Journal of Computer Vision (14 papers)IEEE Transactions on Image Processing (9 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)Nano Letters (3 papers)Proceedings of the IEEE (3 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yi Ma
270 papers receiving 33.9k citations
Yi Ma's Hit Papers
Peers
Comparison fields: 5 of 209
- Computational Mathematics 714
- Computer Vision and Pattern Recognition 17.8k
- Media Technology 4.7k
- Computational Mechanics 8.9k
- Signal Processing 3.4k
Countries citing papers authored by Yi Ma
This map shows the geographic impact of Yi 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 Yi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ma more than expected).
Fields of papers citing papers by Yi Ma
This network shows the impact of papers produced by Yi 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 Yi Ma. The network helps show where Yi Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 290 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-Thermoelectric Performance of Nanostructured Bismuth Antimony Telluride Bulk Alloys Hit paper breakdown → | 2008 | 4948 |
| 2 | Robust principal component analysis? Hit paper breakdown → | 2011 | 4840 |
| 3 | Robust Recovery of Subspace Structures by Low-Rank Representation Hit paper breakdown → | 2012 | 2838 |
| 4 | Single-Image Crowd Counting via Multi-Column Convolutional Neural Network Hit paper breakdown → | 2016 | 1525 |
| 5 | Sparse Representation for Computer Vision and Pattern Recognition Hit paper breakdown → | 2010 | 1497 |
| 6 | Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization Hit paper breakdown → | 2009 | 1123 |
| 7 | High-performance flat-panel solar thermoelectric generators with high thermal concentration Hit paper breakdown → | 2011 | 1028 |
| 8 | An Invitation to 3-D Vision Hit paper breakdown → | 2004 | 729 |
| 9 | An Invitation to 3-D Vision: From Images to Geometric Models Hit paper breakdown → | 2003 | 665 |
| 10 | RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images Hit paper breakdown → | 2012 | 617 |
| 11 | Experimental Studies on Anisotropic Thermoelectric Properties and Structures of n-Type Bi2Te2.7Se0.3 Hit paper breakdown → | 2010 | 608 |
| 12 | Enhanced Thermoelectric Figure-of-Merit in p-Type Nanostructured Bismuth Antimony Tellurium Alloys Made from Elemental Chunks Hit paper breakdown → | 2008 | 507 |
| 13 | On the Role of Sparse and Redundant Representations in Image Processing Hit paper breakdown → | 2010 | 504 |
| 14 | Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation Hit paper breakdown → | 2011 | 491 |
| 15 | Compressive Sensing via Nonlocal Low-Rank Regularization Hit paper breakdown → | 2014 | 464 |
| 16 | 2010 | 393 | |
| 17 | 2007 | 383 | |
| 18 | Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix Hit paper breakdown → | 2009 | 365 |
| 19 | 2007 | 352 | |
| 20 | Fast ℓ<inf>1</inf>-minimization algorithms and an application in robust face recognition: A review Hit paper breakdown → | 2010 | 345 |
About Yi Ma
Yi Ma is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering, Aerospace Engineering and Materials Chemistry, having authored 290 papers that have together received 34.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (65 papers), Sparse and Compressive Sensing Techniques (61 papers), Robotics and Sensor-Based Localization (32 papers), Face and Expression Recognition (27 papers), Advanced Image and Video Retrieval Techniques (27 papers), Advanced Image Processing Techniques (24 papers), Image and Signal Denoising Methods (21 papers) and Optical measurement and interference techniques (19 papers). The work is most often cited by research in Computational Mathematics (714 citations), Computer Vision and Pattern Recognition (17.8k citations), Media Technology (4.7k citations), Computational Mechanics (8.9k citations) and Signal Processing (3.4k citations). Yi Ma has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include John Wright, Emmanuel J. Candès, Xiaodong Li, S. Shankar Sastry, Arvind Ganesh, Shuicheng Yan, Zhouchen Lin, Bed Poudel, Gang Chen and Zhifeng Ren. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nano Letters and Proceedings of the IEEE.
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.