Shijing Ma
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
Papers in
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- Glycosylation and Glycoproteins Research 2
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- Metaheuristic Optimization Algorithms Research 6
- Co-authors
- Xiangtao Li (8 shared papers)Zhiyun Du (3 shared papers)Xi Zheng (3 shared papers)Yan He (3 shared papers)Conghua Xie (13 shared papers)Huarong Huang (2 shared papers)Dongli Li (2 shared papers)Kun Zhang (2 shared papers)
- Journals
- International Journal of Biological Sciences (6 papers)IEEE Access (3 papers)International Journal of Nanomedicine (2 papers)Frontiers in Oncology (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shijing Ma
32 papers receiving 919 citations
Peers
Comparison fields: 5 of 112
- Biomaterials 116
- Industrial and Manufacturing Engineering 80
- Molecular Medicine 30
- Materials Chemistry 290
- Biomedical Engineering 196
Countries citing papers authored by Shijing Ma
This map shows the geographic impact of Shijing 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 Shijing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijing Ma more than expected).
Fields of papers citing papers by Shijing Ma
This network shows the impact of papers produced by Shijing 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 Shijing Ma. The network helps show where Shijing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Shijing 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 146 | |
| 2 | 2016 | 111 | |
| 3 | 2017 | 68 | |
| 4 | 2019 | 54 | |
| 5 | 2014 | 50 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 44 | |
| 8 | 2020 | 39 | |
| 9 | 2019 | 33 | |
| 10 | 2017 | 31 | |
| 11 | 2018 | 30 | |
| 12 | 2016 | 28 | |
| 13 | 2019 | 25 | |
| 14 | 2020 | 24 | |
| 15 | 2022 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2016 | 21 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2020 | 15 |
About Shijing Ma
Shijing Ma is a scholar working on Molecular Biology, Artificial Intelligence, Biomedical Engineering, Materials Chemistry and Computational Theory and Mathematics, having authored 35 papers that have together received 931 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Nanoparticle-Based Drug Delivery (4 papers), Graphene and Nanomaterials Applications (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Nanoplatforms for cancer theranostics (4 papers), Glycosylation and Glycoproteins Research (2 papers), Immune cells in cancer (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Biomaterials (116 citations), Industrial and Manufacturing Engineering (80 citations), Molecular Medicine (30 citations), Materials Chemistry (290 citations) and Biomedical Engineering (196 citations). Shijing Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiangtao Li, Zhiyun Du, Xi Zheng, Yan He, Conghua Xie, Huarong Huang, Dongli Li, Kun Zhang, Sen Jiang and Shupeng Cheng. Their work appears in journals such as International Journal of Biological Sciences, IEEE Access, International Journal of Nanomedicine, Frontiers in Oncology and Applied Intelligence.
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.