Cong Li
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 1%
- Nanoplatforms for cancer theranostics
Papers in
-
- Nanoplatforms for cancer theranostics 49
-
- Advanced biosensing and bioanalysis techniques 17
- Co-authors
- Lu Wang (11 shared papers)Xihui Gao (18 shared papers)Ying Mao (12 shared papers)Shenghong Ju (11 shared papers)Richard C. Wilkerson (3 shared papers)Jun Qian (7 shared papers)Xunbin Wei (5 shared papers)Xinwei Li (8 shared papers)
- Journals
- Advanced Healthcare Materials (6 papers)Advanced Materials (5 papers)Advanced Science (5 papers)ACS Applied Materials & Interfaces (5 papers)Biomaterials (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Cong Li
237 papers receiving 5.3k citations
Cong Li's Hit Papers
Peers
Comparison fields: 5 of 188
- Biomaterials 779
- Biomedical Engineering 1.7k
- Materials Chemistry 1.2k
- Neurology 201
- Biophysics 148
Countries citing papers authored by Cong Li
This map shows the geographic impact of Cong 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 Cong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Li more than expected).
Fields of papers citing papers by Cong Li
This network shows the impact of papers produced by Cong 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 Cong Li. The network helps show where Cong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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
Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 240 | |
| 2 | 2018 | 177 | |
| 3 | 2017 | 166 | |
| 4 | 2011 | 166 | |
| 5 | 2014 | 141 | |
| 6 | Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles Hit paper breakdown → | 2023 | 132 |
| 7 | 2017 | 131 | |
| 8 | 2016 | 112 | |
| 9 | 2015 | 104 | |
| 10 | 2016 | 98 | |
| 11 | 2017 | 90 | |
| 12 | 2019 | 81 | |
| 13 | 2003 | 72 | |
| 14 | 2020 | 68 | |
| 15 | 2010 | 64 | |
| 16 | 2022 | 64 | |
| 17 | 2008 | 59 | |
| 18 | 2006 | 59 | |
| 19 | 2011 | 58 | |
| 20 | 2011 | 58 |
About Cong Li
Cong Li is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Genetics and Electronic, Optical and Magnetic Materials, having authored 255 papers that have together received 5.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (49 papers), Advanced biosensing and bioanalysis techniques (17 papers), Nanoparticle-Based Drug Delivery (16 papers), Glioma Diagnosis and Treatment (15 papers), Gold and Silver Nanoparticles Synthesis and Applications (13 papers), Luminescence and Fluorescent Materials (13 papers), Molecular Sensors and Ion Detection (13 papers) and Advanced Nanomaterials in Catalysis (10 papers). The work is most often cited by research in Biomaterials (779 citations), Biomedical Engineering (1.7k citations), Materials Chemistry (1.2k citations), Neurology (201 citations) and Biophysics (148 citations). Cong Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lu Wang, Xihui Gao, Ying Mao, Shenghong Ju, Richard C. Wilkerson, Jun Qian, Xunbin Wei, Xinwei Li, Huihui Yan and Jianhua Zhu. Their work appears in journals such as Advanced Healthcare Materials, Advanced Materials, Advanced Science, ACS Applied Materials & Interfaces and Biomaterials.
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.