Ping Ma
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Computational Mathematics top 10%
Papers in
-
- Gene expression and cancer classification 10
- Co-authors
- Wenxuan Zhong (30 shared papers)Wenhui Fan (5 shared papers)Hongli Zhang (15 shared papers)Luis Tenorio (6 shared papers)R. D. van der Hilst (3 shared papers)Maarten V. de Hoop (3 shared papers)Cong Wang (2 shared papers)Xiaoxiao Sun (2 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of Computational and Graphical Statistics (7 papers)AIDS Research and Human Retroviruses (6 papers)IEEE Transactions on Plasma Science (4 papers)Energy (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ping Ma
201 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 184
- Statistics and Probability 412
- Computational Mathematics 17
- Virology 117
- Geophysics 312
- Control and Systems Engineering 518
Countries citing papers authored by Ping Ma
This map shows the geographic impact of Ping 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 Ping Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Ma more than expected).
Fields of papers citing papers by Ping Ma
This network shows the impact of papers produced by Ping 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 Ping Ma. The network helps show where Ping Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 229 | |
| 2 | 2019 | 128 | |
| 3 | 2019 | 127 | |
| 4 | 2006 | 121 | |
| 5 | 2014 | 112 | |
| 6 | 2013 | 105 | |
| 7 | 2017 | 92 | |
| 8 | 2006 | 81 | |
| 9 | 2007 | 79 | |
| 10 | 2019 | 79 | |
| 11 | 2014 | 76 | |
| 12 | 2019 | 76 | |
| 13 | 2018 | 67 | |
| 14 | 2019 | 66 | |
| 15 | 2014 | 55 | |
| 16 | 2019 | 53 | |
| 17 | 2005 | 52 | |
| 18 | 2005 | 51 | |
| 19 | 2017 | 49 | |
| 20 | 2015 | 48 |
About Ping Ma
Ping Ma is a scholar working on Molecular Biology, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Statistics and Probability, having authored 219 papers that have together received 3.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), Statistical Methods and Inference (17 papers), Machine Fault Diagnosis Techniques (12 papers), HIV/AIDS drug development and treatment (11 papers), Gene expression and cancer classification (10 papers), Probabilistic and Robust Engineering Design (9 papers), Electromagnetic Launch and Propulsion Technology (9 papers) and Advanced Measurement and Detection Methods (9 papers). The work is most often cited by research in Statistics and Probability (412 citations), Computational Mathematics (17 citations), Virology (117 citations), Geophysics (312 citations) and Control and Systems Engineering (518 citations). Ping Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenxuan Zhong, Wenhui Fan, Hongli Zhang, Luis Tenorio, R. D. van der Hilst, Maarten V. de Hoop, Cong Wang, Xiaoxiao Sun, Hongli Zhang and Chong Gu. Their work appears in journals such as PLoS ONE, Journal of Computational and Graphical Statistics, AIDS Research and Human Retroviruses, IEEE Transactions on Plasma Science and Energy.
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.