Dekai Ye
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Advanced biosensing and bioanalysis techniques 14
- DNA and Nucleic Acid Chemistry 5
- RNA Interference and Gene Delivery 4
-
- Biosensors and Analytical Detection 5
- Advanced Sensor and Energy Harvesting Materials 4
- Co-authors
- Xiaolei Zuo (10 shared papers)Chunhai Fan (9 shared papers)Chong‐an Di (10 shared papers)Daoben Zhu (7 shared papers)Jiye Shi (4 shared papers)Fengjiao Zhang (8 shared papers)Lihua Wang (5 shared papers)Zihan He (7 shared papers)
- Journals
- Advanced Materials (3 papers)Nature Communications (2 papers)ACS Applied Materials & Interfaces (2 papers)Nature Protocols (2 papers)Nano Letters (2 papers)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Dekai Ye
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Bioengineering 72
- Polymers and Plastics 170
- Biomedical Engineering 529
- Molecular Biology 641
- Surfaces, Coatings and Films 60
Countries citing papers authored by Dekai Ye
This map shows the geographic impact of Dekai Ye'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 Dekai Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dekai Ye more than expected).
Fields of papers citing papers by Dekai Ye
This network shows the impact of papers produced by Dekai Ye. 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 Dekai Ye. The network helps show where Dekai Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dekai Ye, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 229 | |
| 2 | 2021 | 153 | |
| 3 | 2020 | 125 | |
| 4 | 2018 | 110 | |
| 5 | 2011 | 81 | |
| 6 | 2017 | 67 | |
| 7 | 2020 | 63 | |
| 8 | 2020 | 58 | |
| 9 | 2022 | 43 | |
| 10 | 2018 | 42 | |
| 11 | 2017 | 41 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 28 | |
| 14 | 2024 | 22 | |
| 15 | 2024 | 22 | |
| 16 | 2018 | 22 | |
| 17 | 2023 | 18 | |
| 18 | 2021 | 12 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 3 |
About Dekai Ye
Dekai Ye is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics and Bioengineering, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Conducting polymers and applications (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Biosensors and Analytical Detection (5 papers), RNA Interference and Gene Delivery (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced Memory and Neural Computing (4 papers) and Molecular Junctions and Nanostructures (3 papers). The work is most often cited by research in Bioengineering (72 citations), Polymers and Plastics (170 citations), Biomedical Engineering (529 citations), Molecular Biology (641 citations) and Surfaces, Coatings and Films (60 citations). Dekai Ye has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Xiaolei Zuo, Chunhai Fan, Chong‐an Di, Daoben Zhu, Jiye Shi, Fengjiao Zhang, Lihua Wang, Zihan He, Ping Song and Lanyi Xiang. Their work appears in journals such as Advanced Materials, Nature Communications, ACS Applied Materials & Interfaces, Nature Protocols and Nano Letters.
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.