Shike Li
Impact in
-
- Nanoparticle-Based Drug Delivery
-
- Advanced Drug Delivery Systems
Papers in
-
- Blockchain Technology Applications and Security 5
- Cloud Data Security Solutions 2
-
- Nanoparticle-Based Drug Delivery 5
- Co-authors
- Patrick J. Sinko (8 shared papers)Dayuan Gao (8 shared papers)Jiaming Pei (3 shared papers)Long Cheng (5 shared papers)Yashveer Singh (3 shared papers)Susan M. Love (5 shared papers)Lukun Wang (1 shared paper)Wenxuan Liu (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)Biomacromolecules (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)IEEE Transactions on Vehicular Technology (1 paper)Computer Networks (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Shike Li
19 papers receiving 298 citations
Peers
Comparison fields: 5 of 86
- Biomaterials 88
- Pharmaceutical Science 25
- Molecular Medicine 11
- Biomedical Engineering 74
- Cancer Research 16
Countries citing papers authored by Shike Li
This map shows the geographic impact of Shike Li'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 Shike Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shike Li more than expected).
Fields of papers citing papers by Shike Li
This network shows the impact of papers produced by Shike Li. 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 Shike Li. The network helps show where Shike Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shike Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2023 | 46 | |
| 3 | 2022 | 31 | |
| 4 | 2012 | 31 | |
| 5 | 2013 | 20 | |
| 6 | 2011 | 20 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2024 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Shike Li
Shike Li is a scholar working on Information Systems, Biomaterials, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 20 papers that have together received 308 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Privacy-Preserving Technologies in Data (3 papers), Traffic control and management (3 papers), Breast Cancer Treatment Studies (2 papers), Cancer Cells and Metastasis (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Biomaterials (88 citations), Pharmaceutical Science (25 citations), Molecular Medicine (11 citations), Biomedical Engineering (74 citations) and Cancer Research (16 citations). Shike Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Patrick J. Sinko, Dayuan Gao, Jiaming Pei, Long Cheng, Yashveer Singh, Susan M. Love, Lukun Wang, Wenxuan Liu, Zhi Yu and Shen Wang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Biomacromolecules, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Vehicular Technology and Computer Networks.
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.