Ping Ma
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Virology top 5%
Papers in ⓘ
-
- Gene expression and cancer classification 12
- Co-authors
- Hongli Zhang (14 shared papers)Wenxuan Zhong (28 shared papers)Wenhui Fan (5 shared papers)Luis Tenorio (6 shared papers)R. D. van der Hilst (3 shared papers)Cong Wang (2 shared papers)Maarten V. de Hoop (3 shared papers)Hongli Zhang (4 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)Frontiers in Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ping Ma
186 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 183
- Statistics and Probability 377
- Virology 143
- Computational Mathematics 13
- Control and Systems Engineering 490
- Geophysics 270
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 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 205 | |
| 2 | 2019 | 125 | |
| 3 | 2019 | 123 | |
| 4 | 2014 | 111 | |
| 5 | 2006 | 107 | |
| 6 | 2013 | 98 | |
| 7 | 2017 | 92 | |
| 8 | 2007 | 78 | |
| 9 | 2019 | 73 | |
| 10 | 2019 | 72 | |
| 11 | 2014 | 68 | |
| 12 | 2018 | 66 | |
| 13 | 2006 | 66 | |
| 14 | 2019 | 63 | |
| 15 | 2014 | 53 | |
| 16 | 2019 | 53 | |
| 17 | 2005 | 50 | |
| 18 | 2017 | 49 | |
| 19 | 2005 | 46 | |
| 20 | 2015 | 44 |
About Ping Ma
Ping Ma is a scholar working on Molecular Biology, Artificial Intelligence, Control and Systems Engineering, Virology and Electrical and Electronic Engineering, having authored 204 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), Statistical Methods and Inference (15 papers), HIV/AIDS Research and Interventions (13 papers), HIV/AIDS drug development and treatment (13 papers), Gene expression and cancer classification (12 papers), Machine Fault Diagnosis Techniques (12 papers), Probabilistic and Robust Engineering Design (9 papers) and Electromagnetic Launch and Propulsion Technology (8 papers). The work is most often cited by research in Statistics and Probability (377 citations), Virology (143 citations), Computational Mathematics (13 citations), Control and Systems Engineering (490 citations) and Geophysics (270 citations). Ping Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongli Zhang, Wenxuan Zhong, Wenhui Fan, Luis Tenorio, R. D. van der Hilst, Cong Wang, Maarten V. de Hoop, Hongli Zhang, Xiaoxiao Sun and Sang‐Heon Shim. 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 Frontiers in Pharmacology.
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.