Yingjun Ma
Impact in
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
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- Advanced biosensing and bioanalysis techniques 7
- Bioinformatics and Genomic Networks 7
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- Advanced battery technologies research 6
- Co-authors
- Xiaoyong Zou (10 shared papers)Zong Dai (10 shared papers)Xingpeng Jiang (6 shared papers)Tingting He (5 shared papers)Jun Chen (7 shared papers)Juan Li (12 shared papers)Danping Chen (7 shared papers)Zhiying Zhang (9 shared papers)
In The Last Decade
Yingjun Ma
89 papers receiving 847 citations
Peers
Comparison fields: 5 of 117
- Computational Mathematics 8
- Surfaces, Coatings and Films 85
- Cancer Research 89
- Molecular Biology 354
- Aerospace Engineering 98
Countries citing papers authored by Yingjun Ma
This map shows the geographic impact of Yingjun 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 Yingjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjun Ma more than expected).
Fields of papers citing papers by Yingjun Ma
This network shows the impact of papers produced by Yingjun 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 Yingjun Ma. The network helps show where Yingjun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingjun 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2016 | 53 | |
| 3 | 2018 | 46 | |
| 4 | 2019 | 40 | |
| 5 | 2017 | 40 | |
| 6 | 2019 | 31 | |
| 7 | 2016 | 28 | |
| 8 | 2022 | 26 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2017 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2025 | 15 | |
| 18 | 2008 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2018 | 14 |
About Yingjun Ma
Yingjun Ma is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Aerospace Engineering, having authored 97 papers that have together received 869 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (10 papers), MicroRNA in disease regulation (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Bioinformatics and Genomic Networks (7 papers), Anodic Oxide Films and Nanostructures (7 papers), Advanced battery technologies research (6 papers), Medical Image Segmentation Techniques (6 papers) and Nuclear Physics and Applications (6 papers). The work is most often cited by research in Computational Mathematics (8 citations), Surfaces, Coatings and Films (85 citations), Cancer Research (89 citations), Molecular Biology (354 citations) and Aerospace Engineering (98 citations). Yingjun Ma has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Xiaoyong Zou, Zong Dai, Xingpeng Jiang, Tingting He, Jun Chen, Juan Li, Danping Chen, Zhiying Zhang, Yuzhi Xu and Runguang Sun. Their work appears in journals such as Review of Scientific Instruments, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Energy & Fuels, BMC Bioinformatics and Scientific Reports.
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.