Dajing Yan
Impact in
- Polymers and Plastics top 5%
- Polymer crystallization and properties
- Polymer Nanocomposites and Properties
- Polymer Foaming and Composites
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- Rheology and Fluid Dynamics Studies
Papers in
-
- Polymer crystallization and properties 4
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- Organometallic Complex Synthesis and Catalysis 3
- Synthetic Organic Chemistry Methods 2
- Co-authors
- Shiping Zhu (5 shared papers)A. E. Hamielec (4 shared papers)Wenjun Wang (3 shared papers)Brian G. Sayer (2 shared papers)Paul A. Charpentier (2 shared papers)W. A. Hines (1 shared paper)Y. D. Zhang (1 shared paper)Miguel José Yacamán (1 shared paper)
- Journals
- Macromolecular Chemistry and Physics (2 papers)Macromolecules (1 paper)Polymer (1 paper)Journal of Chemical Education (1 paper)MRS Proceedings (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Dajing Yan
7 papers receiving 348 citations
Peers
Comparison fields: 5 of 51
- Polymers and Plastics 235
- Fluid Flow and Transfer Processes 89
- Process Chemistry and Technology 41
- Biomaterials 100
- Organic Chemistry 152
Countries citing papers authored by Dajing Yan
This map shows the geographic impact of Dajing Yan'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 Dajing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajing Yan more than expected).
Fields of papers citing papers by Dajing Yan
This network shows the impact of papers produced by Dajing Yan. 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 Dajing Yan. The network helps show where Dajing Yan may publish in the future.
Co-authors
The 15 scholars most cited alongside Dajing Yan, 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 | 1999 | 186 | |
| 2 | 1998 | 107 | |
| 3 | 1998 | 33 | |
| 4 | 1997 | 18 | |
| 5 | 1999 | 8 | |
| 6 | 2002 | 7 | |
| 7 | 1998 | 1 |
About Dajing Yan
Dajing Yan is a scholar working on Polymers and Plastics, Organic Chemistry, Fluid Flow and Transfer Processes, Materials Chemistry and Condensed Matter Physics, having authored 7 papers that have together received 360 indexed citations. Recurring topics across this work include Polymer crystallization and properties (4 papers), Organometallic Complex Synthesis and Catalysis (3 papers), Synthetic Organic Chemistry Methods (2 papers), Rheology and Fluid Dynamics Studies (2 papers), Magnetic Properties and Synthesis of Ferrites (1 paper), Theoretical and Computational Physics (1 paper), Magnetic properties of thin films (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Polymers and Plastics (235 citations), Fluid Flow and Transfer Processes (89 citations), Process Chemistry and Technology (41 citations), Biomaterials (100 citations) and Organic Chemistry (152 citations). Dajing Yan has collaborated with scholars based in Canada and United States. Frequent co-authors include Shiping Zhu, A. E. Hamielec, Wenjun Wang, Brian G. Sayer, Paul A. Charpentier, W. A. Hines, Y. D. Zhang, Miguel José Yacamán, Shiqiang Hui and T. D. Xiao. Their work appears in journals such as Macromolecular Chemistry and Physics, Macromolecules, Polymer, Journal of Chemical Education and MRS Proceedings.
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.