Yi-An Ma
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
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- Machine Learning and Algorithms 4
- Gaussian Processes and Bayesian Inference 4
-
- Advanced Thermodynamics and Statistical Mechanics 5
- Model Reduction and Neural Networks 4
- Co-authors
- Dejun Lin (1 shared paper)Cole Trapnell (1 shared paper)Jonathan S. Packer (1 shared paper)Andrew J. Hill (1 shared paper)Xiaojie Qiu (1 shared paper)Ruoshi Yuan (5 shared papers)Ping Ao (4 shared papers)Bo Yuan (4 shared papers)
- Journals
- SIAM Journal on Applied Dynamical Systems (2 papers)Nature Methods (1 paper)Bernoulli (1 paper)New Journal of Physics (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yi-An Ma
22 papers receiving 1.3k citations
Yi-An Ma's Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 340
- Cancer Research 207
- Molecular Biology 718
- Neurology 69
- Statistical and Nonlinear Physics 83
Countries citing papers authored by Yi-An Ma
This map shows the geographic impact of Yi-An 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-An 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-An Ma more than expected).
Fields of papers citing papers by Yi-An Ma
This network shows the impact of papers produced by Yi-An 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-An Ma. The network helps show where Yi-An Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-An 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell mRNA quantification and differential analysis with Census Hit paper breakdown → | 2017 | 1069 |
| 2 | 2021 | 35 | |
| 3 | A complete recipe for stochastic gradient MCMC | 2015 | 28 |
| 4 | 2013 | 25 | |
| 5 | 2013 | 25 | |
| 6 | 2014 | 25 | |
| 7 | 2021 | 19 | |
| 8 | 2014 | 19 | |
| 9 | Deep Mixture of Experts via Shallow Embedding | 2020 | 16 |
| 10 | High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm | 2021 | 15 |
| 11 | 2015 | 10 | |
| 12 | Potential function in dynamical systems and the relation with Lyapunov function | 2011 | 5 |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence | 2021 | 2 |
| 16 | On Approximate Thompson Sampling with Langevin Algorithms. | 2020 | 2 |
| 17 | 2023 | 2 | |
| 18 | 2015 | 2 | |
| 19 | Stochastic gradient MCMC methods for hidden Markov models | 2017 | 1 |
| 20 | Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics | 2020 | 1 |
About Yi-An Ma
Yi-An Ma is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability, Computational Mechanics and Molecular Biology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (5 papers), Markov Chains and Monte Carlo Methods (5 papers), Machine Learning and Algorithms (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Model Reduction and Neural Networks (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Gene Regulatory Network Analysis (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Immunology (340 citations), Cancer Research (207 citations), Molecular Biology (718 citations), Neurology (69 citations) and Statistical and Nonlinear Physics (83 citations). Yi-An Ma has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Dejun Lin, Cole Trapnell, Jonathan S. Packer, Andrew J. Hill, Xiaojie Qiu, Ruoshi Yuan, Ping Ao, Bo Yuan, Emily B. Fox and Tianqi Chen. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, Nature Methods, Bernoulli, New Journal of Physics and Journal of the American Statistical Association.
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.