Yani Cui
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Nanoparticle-Based Drug Delivery 8
-
- Image Enhancement Techniques 4
- Robotic Path Planning Algorithms 3
- Co-authors
- Yujiang Fan (11 shared papers)Xingdong Zhang (11 shared papers)Jie Liang (10 shared papers)Yong Sun (10 shared papers)Shaoquan Bian (5 shared papers)Junhui Sui (5 shared papers)Huanan Li (3 shared papers)Jing Zhang (1 shared paper)
- Journals
- Journal of Materials Chemistry B (5 papers)IEEE Access (2 papers)ACS Applied Materials & Interfaces (2 papers)Scientific Reports (1 paper)ACS Nano (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Yani Cui
25 papers receiving 497 citations
Yani Cui's Hit Papers
Peers
Comparison fields: 5 of 92
- Biomaterials 208
- Molecular Medicine 46
- Pharmaceutical Science 27
- Biomedical Engineering 163
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Yani Cui
This map shows the geographic impact of Yani Cui'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 Yani Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yani Cui more than expected).
Fields of papers citing papers by Yani Cui
This network shows the impact of papers produced by Yani Cui. 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 Yani Cui. The network helps show where Yani Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yani Cui, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 63 | |
| 2 | Multi-USV Task Planning Method Based on Improved Deep Reinforcement Learning Hit paper breakdown → | 2024 | 56 |
| 3 | 2017 | 44 | |
| 4 | 2017 | 43 | |
| 5 | 2014 | 40 | |
| 6 | 2015 | 35 | |
| 7 | 2018 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2021 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Yani Cui
Yani Cui is a scholar working on Biomaterials, Computer Vision and Pattern Recognition, Molecular Biology, Biomedical Engineering and Artificial Intelligence, having authored 27 papers that have together received 511 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (4 papers), Image Enhancement Techniques (4 papers), Epigenetics and DNA Methylation (3 papers), Robotic Path Planning Algorithms (3 papers), Dendrimers and Hyperbranched Polymers (3 papers), RNA Interference and Gene Delivery (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Biomaterials (208 citations), Molecular Medicine (46 citations), Pharmaceutical Science (27 citations), Biomedical Engineering (163 citations) and Computer Vision and Pattern Recognition (58 citations). Yani Cui has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yujiang Fan, Xingdong Zhang, Jie Liang, Yong Sun, Shaoquan Bian, Junhui Sui, Huanan Li, Jing Zhang, Jingyu Cong and Jia Ren. Their work appears in journals such as Journal of Materials Chemistry B, IEEE Access, ACS Applied Materials & Interfaces, Scientific Reports and ACS Nano.
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.