Yaokun Wang
Impact in
- Dermatology top 10%
- Dermatology and Skin Diseases
-
- Quantum Mechanics and Applications
Papers in
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- Quantum Information and Cryptography 13
- Quantum Computing Algorithms and Architecture 11
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- Quantum Mechanics and Applications 7
- Quantum optics and atomic interactions 2
- Co-authors
- Shao-Ming Fei (9 shared papers)Heng Fan (4 shared papers)Zhi‐Xi Wang (4 shared papers)Teng Ma (2 shared papers)Xiaoyan Fan (1 shared paper)Xin Li (1 shared paper)Yuelei Jin (1 shared paper)Guang Chen (1 shared paper)
- Journals
- Quantum Information Processing (5 papers)Scientific Reports (3 papers)BioMed Research International (2 papers)Bioprocess and Biosystems Engineering (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yaokun Wang
37 papers receiving 324 citations
Peers
Comparison fields: 5 of 99
- Dermatology 38
- Atomic and Molecular Physics, and Optics 72
- Artificial Intelligence 69
- Aerospace Engineering 45
- Polymers and Plastics 19
Countries citing papers authored by Yaokun Wang
This map shows the geographic impact of Yaokun 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 Yaokun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaokun Wang more than expected).
Fields of papers citing papers by Yaokun Wang
This network shows the impact of papers produced by Yaokun 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 Yaokun Wang. The network helps show where Yaokun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaokun 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2021 | 23 | |
| 3 | 2013 | 22 | |
| 4 | 2023 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2024 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2024 | 5 |
About Yaokun Wang
Yaokun Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Aerospace Engineering, Electrical and Electronic Engineering and Organic Chemistry, having authored 41 papers that have together received 339 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (11 papers), Quantum Mechanics and Applications (7 papers), Antenna Design and Analysis (3 papers), Antenna Design and Optimization (3 papers), Nanomaterials for catalytic reactions (2 papers), Quantum optics and atomic interactions (2 papers) and Advanced materials and composites (2 papers). The work is most often cited by research in Dermatology (38 citations), Atomic and Molecular Physics, and Optics (72 citations), Artificial Intelligence (69 citations), Aerospace Engineering (45 citations) and Polymers and Plastics (19 citations). Yaokun Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shao-Ming Fei, Heng Fan, Zhi‐Xi Wang, Teng Ma, Xiaoyan Fan, Xin Li, Yuelei Jin, Guang Chen, Juan Huang and Youxun Liu. Their work appears in journals such as Quantum Information Processing, Scientific Reports, BioMed Research International, Bioprocess and Biosystems Engineering and Nature Communications.
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.