Dawei Dai
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Ceramics and Composites top 10%
- Advanced ceramic materials synthesis
Papers in
-
- Plant Molecular Biology Research 4
- Chromosomal and Genetic Variations 2
- Plant nutrient uptake and metabolism 2
-
- Digital Imaging for Blood Diseases 2
- Co-authors
- Rentao Song (5 shared papers)Zeyang Ma (3 shared papers)Rujie He (2 shared papers)Keqiang Zhang (2 shared papers)Daining Fang (2 shared papers)Guojiao Ding (1 shared paper)Gang Wang (1 shared paper)Chen Xie (1 shared paper)
- Journals
- Ceramics International (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Experimental Botany (2 papers)Genetics (1 paper)Inflammation Research (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dawei Dai
21 papers receiving 786 citations
Peers
Comparison fields: 5 of 97
- Automotive Engineering 213
- Ceramics and Composites 70
- Orthodontics 36
- Neurology 68
- Clinical Biochemistry 53
Countries citing papers authored by Dawei Dai
This map shows the geographic impact of Dawei 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 Dawei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Dai more than expected).
Fields of papers citing papers by Dawei Dai
This network shows the impact of papers produced by Dawei 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 Dawei Dai. The network helps show where Dawei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 267 | |
| 2 | 2021 | 69 | |
| 3 | 2018 | 60 | |
| 4 | 2009 | 60 | |
| 5 | 2021 | 59 | |
| 6 | 2016 | 52 | |
| 7 | 2017 | 49 | |
| 8 | 2018 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2020 | 20 | |
| 12 | 2023 | 20 | |
| 13 | 2011 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2008 | 10 | |
| 16 | 2025 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Dawei Dai
Dawei Dai is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 23 papers that have together received 799 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Digital Imaging for Blood Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Plant nutrient uptake and metabolism (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Automotive Engineering (213 citations), Ceramics and Composites (70 citations), Orthodontics (36 citations), Neurology (68 citations) and Clinical Biochemistry (53 citations). Dawei Dai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Rentao Song, Zeyang Ma, Rujie He, Keqiang Zhang, Daining Fang, Guojiao Ding, Gang Wang, Chen Xie, Min Wang and Weiwei Qi. Their work appears in journals such as Ceramics International, Biochemical and Biophysical Research Communications, Journal of Experimental Botany, Genetics and Inflammation Research.
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.