Kaiye Wang
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
Papers in
-
- Nanoplatforms for cancer theranostics 16
-
- Extracellular vesicles in disease 6
- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Bo Tang (29 shared papers)Na Li (28 shared papers)Liang Wang (6 shared papers)Ran He (4 shared papers)Wei Wang (4 shared papers)Tieniu Tan (3 shared papers)Wei Pan (19 shared papers)Hongyu Wang (11 shared papers)
- Journals
- Chemical Communications (12 papers)Advanced Synthesis & Catalysis (3 papers)Chemical Science (2 papers)Chinese Chemical Letters (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- ChinaMontenegroSpain
In The Last Decade
Kaiye Wang
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 432
- Biomedical Engineering 415
- Organic Chemistry 236
- Biomaterials 99
- Biochemistry 52
Countries citing papers authored by Kaiye Wang
This map shows the geographic impact of Kaiye Wang'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 Kaiye Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiye Wang more than expected).
Fields of papers citing papers by Kaiye Wang
This network shows the impact of papers produced by Kaiye Wang. 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 Kaiye Wang. The network helps show where Kaiye Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiye Wang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 261 | |
| 2 | 2013 | 191 | |
| 3 | 2021 | 130 | |
| 4 | 2021 | 86 | |
| 5 | 2020 | 85 | |
| 6 | 2018 | 76 | |
| 7 | 2017 | 57 | |
| 8 | 2017 | 56 | |
| 9 | 2017 | 44 | |
| 10 | 2021 | 40 | |
| 11 | 2020 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2022 | 26 | |
| 14 | 2021 | 23 | |
| 15 | 2022 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2018 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2019 | 16 |
About Kaiye Wang
Kaiye Wang is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Organic Chemistry and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Advanced Nanomaterials in Catalysis (8 papers), Extracellular vesicles in disease (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Synthesis of Indole Derivatives (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (432 citations), Biomedical Engineering (415 citations), Organic Chemistry (236 citations), Biomaterials (99 citations) and Biochemistry (52 citations). Kaiye Wang has collaborated with scholars based in China, Montenegro and Spain. Frequent co-authors include Bo Tang, Na Li, Liang Wang, Ran He, Wei Wang, Tieniu Tan, Wei Pan, Hongyu Wang, Mingwan Shi and Xiaohan Liu. Their work appears in journals such as Chemical Communications, Advanced Synthesis & Catalysis, Chemical Science, Chinese Chemical Letters and Angewandte Chemie International Edition.
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.