Shengping Dai
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Polymer composites and self-healing
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 41
- Dielectric materials and actuators 7
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- Conducting polymers and applications 19
- Polymer composites and self-healing 11
- Co-authors
- Jianning Ding (32 shared papers)Guanggui Cheng (20 shared papers)Xiaoshuang Zhou (13 shared papers)Ningyi Yuan (15 shared papers)Yan Zhong (13 shared papers)Hao Zhu (8 shared papers)Xu Dong (10 shared papers)Jiaqi Wang (5 shared papers)
In The Last Decade
Shengping Dai
56 papers receiving 914 citations
Peers
Comparison fields: 5 of 83
- Polymers and Plastics 340
- Molecular Medicine 76
- Biomedical Engineering 650
- Cognitive Neuroscience 144
- Electronic, Optical and Magnetic Materials 120
Countries citing papers authored by Shengping Dai
This map shows the geographic impact of Shengping Dai'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 Shengping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengping Dai more than expected).
Fields of papers citing papers by Shengping Dai
This network shows the impact of papers produced by Shengping Dai. 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 Shengping Dai. The network helps show where Shengping Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengping Dai, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2022 | 48 | |
| 3 | 2022 | 37 | |
| 4 | 2019 | 37 | |
| 5 | 2022 | 36 | |
| 6 | 2019 | 34 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 31 | |
| 9 | 2019 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2022 | 26 | |
| 17 | 2023 | 23 | |
| 18 | 2023 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 1997 | 21 |
About Shengping Dai
Shengping Dai is a scholar working on Biomedical Engineering, Polymers and Plastics, Mechanical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 59 papers that have together received 926 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (41 papers), Conducting polymers and applications (19 papers), Advanced Materials and Mechanics (15 papers), Tactile and Sensory Interactions (11 papers), Polymer composites and self-healing (11 papers), Dielectric materials and actuators (7 papers), Hydrogels: synthesis, properties, applications (5 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Polymers and Plastics (340 citations), Molecular Medicine (76 citations), Biomedical Engineering (650 citations), Cognitive Neuroscience (144 citations) and Electronic, Optical and Magnetic Materials (120 citations). Shengping Dai has collaborated with scholars based in China, France and Germany. Frequent co-authors include Jianning Ding, Guanggui Cheng, Xiaoshuang Zhou, Ningyi Yuan, Yan Zhong, Hao Zhu, Xu Dong, Jiaqi Wang, Yuewen Chen and Ningyi Yuan. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Measurement, New Journal of Chemistry, Sensors and Actuators A Physical and Langmuir.
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.