Dapeng Jing
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Jonathan C. ClaussenEmily A. SmithP. A. ThielDavid A. LairdMichael LawrinenkoYong HanDeyny Mendivelso-PérezNate T. Garland
- Topics
- nanoparticles nucleation surface interactions (12 papers)Graphene research and applications (10 papers)Advanced Chemical Physics Studies (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- United StatesItalyFrance
In The Last Decade
Dapeng Jing
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Materials Chemistry 675
- Electrical and Electronic Engineering 422
- Biomedical Engineering 385
- Atomic and Molecular Physics, and Optics 211
- Renewable Energy, Sustainability and the Environment 205
Countries citing papers authored by Dapeng Jing
This map shows the geographic impact of Dapeng Jing'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 Dapeng Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Jing more than expected).
Fields of papers citing papers by Dapeng Jing
This network shows the impact of papers produced by Dapeng Jing. 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 Dapeng Jing. The network helps show where Dapeng Jing may publish in the future.
Co-authorship network of co-authors of Dapeng Jing
This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Jing. A scholar is included among the top collaborators of Dapeng Jing 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 Dapeng Jing. Dapeng Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 10 | |
| 8 | 34 | |
| 9 | 110 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 15 | |
| 13 | 17 | |
| 14 | 21 | |
| 15 | 24 | |
| 16 | 72 | |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 195 | |
| 20 | 27 |
About Dapeng Jing
Dapeng Jing is a scholar working on Bioengineering, Catalysis and Atmospheric Science, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (12 papers), Graphene research and applications (10 papers) and Advanced Chemical Physics Studies (9 papers). The work is most often cited by research in Bioengineering (163 citations), Behavioral Neuroscience (103 citations) and Biological Psychiatry (61 citations). Dapeng Jing has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Jonathan C. Claussen, Emily A. Smith, P. A. Thiel, David A. Laird, Michael Lawrinenko, Yong Han, Deyny Mendivelso-Pérez, Nate T. Garland, Kevin G. Bath and Judit Gal Toth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.