Kaiyang Wang
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 4
- Molecular Medicine top 10%
- Surfaces, Coatings and Films top 10%
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 5
- Soft Robotics and Applications 2
- Mechanical Engineering top 10%
- Advanced Materials and Mechanics 2
- Modular Robots and Swarm Intelligence 1
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- Advanced Battery Materials and Technologies 3
- Advancements in Battery Materials 2
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- Micro and Nano Robotics 2
- Co-authors
- Robert F. ShepherdThomas J. WallinEmmanuel P. GiannelisWenyang PanArtemis XuYiğit MengüçAnand Kumar MishraBarbara Mazzolai
- Journals
- Macromolecular Rapid Communications (2 papers)Advanced Materials (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Kaiyang Wang
18 papers receiving 634 citations
Peers
Comparison fields: 5 of 72
- Automotive Engineering 173
- Molecular Medicine 53
- Surfaces, Coatings and Films 61
- Biomedical Engineering 374
- Mechanical Engineering 255
Countries citing papers authored by Kaiyang Wang
This map shows the geographic impact of Kaiyang 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 Kaiyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyang Wang more than expected).
Fields of papers citing papers by Kaiyang Wang
This network shows the impact of papers produced by Kaiyang 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 Kaiyang Wang. The network helps show where Kaiyang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaiyang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 54 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 173 | |
| 9 | 2020 | 51 | |
| 10 | 2020 | 105 | |
| 11 | 2019 | 27 | |
| 12 | 2019 | 96 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 11 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 54 | |
| 17 | Grain size distribution of collapsed scraps of argillaceous rock and its relationship with expansibility: An experimental study | 2013 | 4 |
| 18 | 2012 | 8 |
About Kaiyang Wang
Kaiyang Wang is a scholar working on Automotive Engineering, Molecular Medicine and Endocrinology, having authored 18 papers that have together received 645 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (5 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Advanced Battery Materials and Technologies (3 papers), Advancements in Battery Materials (2 papers), Micro and Nano Robotics (2 papers), Advanced Materials and Mechanics (2 papers), Soft Robotics and Applications (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Automotive Engineering (173 citations), Molecular Medicine (53 citations) and Surfaces, Coatings and Films (61 citations). Kaiyang Wang has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Robert F. Shepherd, Thomas J. Wallin, Emmanuel P. Giannelis, Wenyang Pan, Artemis Xu, Yiğit Mengüç, Anand Kumar Mishra, Barbara Mazzolai, Philippe Dúbois and Jérémy Odent. Their work appears in journals such as Macromolecular Rapid Communications, Advanced Materials, Journal of the American Chemical Society, Advanced Materials Technologies and Science China Technological Sciences.
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.