Kun Wang
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
-
- Cancer-related molecular mechanisms research
Papers in
-
- Catalytic Processes in Materials Science 5
- Co-authors
- Meng Chen (1 shared paper)Kunde Lin (1 shared paper)Xinwen Huang (1 shared paper)Nan Li (1 shared paper)Junling Shi (1 shared paper)Ruijun Long (1 shared paper)Qiang Qiu (1 shared paper)Tao Ma (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (3 papers)Journal of environmental chemical engineering (2 papers)Journal of Building Engineering (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Journal of Photochemistry and Photobiology B Biology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kun Wang
104 papers receiving 997 citations
Kun Wang's Hit Papers
Peers
Comparison fields: 5 of 136
- Biochemistry 38
- Cancer Research 55
- Genetics 107
- Food Science 69
- Pharmacology 31
Countries citing papers authored by Kun Wang
This map shows the geographic impact of Kun 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 Kun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wang more than expected).
Fields of papers citing papers by Kun Wang
This network shows the impact of papers produced by Kun 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 Kun Wang. The network helps show where Kun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 195 | |
| 2 | 2017 | 87 | |
| 3 | 2014 | 48 | |
| 4 | Transfer learning framework for the wind pressure prediction of high-rise building surfaces using wind tunnel experiments and machine learning Hit paper breakdown → | 2025 | 35 |
| 5 | 2024 | 32 | |
| 6 | 2023 | 28 | |
| 7 | 2024 | 24 | |
| 8 | 2024 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2024 | 19 | |
| 12 | 2024 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2023 | 16 | |
| 15 | 2017 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2024 | 13 | |
| 19 | 2024 | 12 | |
| 20 | 2024 | 12 |
About Kun Wang
Kun Wang is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 128 papers that have together received 1.0k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (5 papers), Advanced Photocatalysis Techniques (4 papers), Wind and Air Flow Studies (4 papers), Electrocatalysts for Energy Conversion (4 papers), Neural Networks and Reservoir Computing (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Fuel Cells and Related Materials (3 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Biochemistry (38 citations), Cancer Research (55 citations), Genetics (107 citations), Food Science (69 citations) and Pharmacology (31 citations). Kun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Meng Chen, Kunde Lin, Xinwen Huang, Nan Li, Junling Shi, Ruijun Long, Qiang Qiu, Tao Ma, Zhengqiang Ni and Richard J. Abbott. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of environmental chemical engineering, Journal of Building Engineering, Journal of Agricultural and Food Chemistry and Journal of Photochemistry and Photobiology B Biology.
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.