Ling Ma
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
Papers in ⓘ
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- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 4
- Statistical Distribution Estimation and Applications 3
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- Healthcare and Venom Research 2
- Co-authors
- Jianguo Sun (6 shared papers)Tao Hu (4 shared papers)Céline Demougeot (1 shared paper)Alain Berthelot (1 shared paper)Lixin Ding (1 shared paper)Jinrong He (1 shared paper)Nikolaos Stergiopulos (1 shared paper)Lei Jiang (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (1 paper)Cardiovascular Research (1 paper)IEEE Access (1 paper)European Radiology (1 paper)Biometrika (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ling Ma
33 papers receiving 574 citations
Peers
Comparison fields: 5 of 123
- Statistics and Probability 119
- Biochemistry 28
- Complementary and alternative medicine 31
- Pharmacology 55
- Physiology 77
Countries citing papers authored by Ling Ma
This map shows the geographic impact of Ling 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 Ling Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ma more than expected).
Fields of papers citing papers by Ling Ma
This network shows the impact of papers produced by Ling 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 Ling Ma. The network helps show where Ling Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 93 | |
| 2 | 2015 | 62 | |
| 3 | 2017 | 61 | |
| 4 | 2012 | 43 | |
| 5 | 2018 | 39 | |
| 6 | 2012 | 39 | |
| 7 | 2014 | 37 | |
| 8 | 2009 | 28 | |
| 9 | 2014 | 26 | |
| 10 | 2009 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2009 | 9 | |
| 17 | 2009 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2021 | 7 |
About Ling Ma
Ling Ma is a scholar working on Statistics and Probability, Pharmacology, Complementary and alternative medicine, Health Information Management and Biochemistry, having authored 33 papers that have together received 587 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Distribution Estimation and Applications (3 papers), Radar Systems and Signal Processing (2 papers), Wireless Signal Modulation Classification (2 papers), Healthcare and Venom Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Statistics and Probability (119 citations), Biochemistry (28 citations), Complementary and alternative medicine (31 citations), Pharmacology (55 citations) and Physiology (77 citations). Ling Ma has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jianguo Sun, Tao Hu, Céline Demougeot, Alain Berthelot, Lixin Ding, Jinrong He, Nikolaos Stergiopulos, Lei Jiang, Rana Rezakhaniha and Yves Claude Guillaume. Their work appears in journals such as Computational Statistics & Data Analysis, Cardiovascular Research, IEEE Access, European Radiology and Biometrika.
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.