Ying-Chun Dai
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Catalysis top 5%
- Biomedical Engineering top 10%
- Topics
- Catalytic Processes in Materials Science (7 papers)Graphene research and applications (6 papers)Carbon Nanotubes in Composites (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Hazardous MaterialsCarbon
In The Last Decade
Ying-Chun Dai
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Materials Chemistry 1.1k
- Electrical and Electronic Engineering 388
- Electronic, Optical and Magnetic Materials 348
- Catalysis 343
- Biomedical Engineering 295
Countries citing papers authored by Ying-Chun Dai
This map shows the geographic impact of Ying-Chun 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 Ying-Chun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Chun Dai more than expected).
Fields of papers citing papers by Ying-Chun Dai
This network shows the impact of papers produced by Ying-Chun 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 Ying-Chun Dai. The network helps show where Ying-Chun Dai may publish in the future.
Co-authorship network of co-authors of Ying-Chun Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Chun Dai. A scholar is included among the top collaborators of Ying-Chun Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-Chun Dai. Ying-Chun Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | Prevalence and associa ted factors of burnout syndrome among he althcare workers in public and private hospitals in Mek elle City, Ethiopia | 4 |
| 4 | Mothers' knowledge, attitudes and practices on preventing diarrhoea in Juba, South Sudan. | 4 |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 139 | |
| 8 | 94 | |
| 9 | Characterization of surface oxygen complexes on carbon nanofibers by TPD, XPS and FT-IRbreakdown → | 992 |
| 10 | 83 | |
| 11 | 57 | |
| 12 | 23 | |
| 13 | 31 | |
| 14 | 96 | |
| 15 | 89 | |
| 16 | 71 | |
| 17 | 10 | |
| 18 | 54 | |
| 19 | 38 | |
| 20 | 14 |
About Ying-Chun Dai
Ying-Chun Dai is a scholar working on Catalysis, Industrial and Manufacturing Engineering and Materials Chemistry, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (7 papers), Graphene research and applications (6 papers) and Carbon Nanotubes in Composites (5 papers). The work is most often cited by research in Catalysis (343 citations), Materials Chemistry (1.1k citations) and Electronic, Optical and Magnetic Materials (348 citations). Ying-Chun Dai has collaborated with scholars based in China, Norway and Australia. Frequent co-authors include Weikang Yuan, De Chen, Zhi‐Jun Sui, Jinghong Zhou, Ping Li, Junwu Zhu, Tiejun Zhao, Ping Li, Guangren Qian and Jizhi Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Carbon.
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.