Qing Wan
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry top 5%
- Biomedical Engineering top 5%
- Polymers and Plastics top 2%
- Topics
- Advanced Memory and Neural Computing (15 papers)Neuroscience and Neural Engineering (10 papers)ZnO doping and properties (7 papers)
- Cited by
- Cellular and Molecular NeurosciencePolymers and PlasticsElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qing Wan
29 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 2.3k
- Cellular and Molecular Neuroscience 918
- Materials Chemistry 799
- Biomedical Engineering 631
- Polymers and Plastics 600
Countries citing papers authored by Qing Wan
This map shows the geographic impact of Qing Wan'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 Qing Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wan more than expected).
Fields of papers citing papers by Qing Wan
This network shows the impact of papers produced by Qing Wan. 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 Qing Wan. The network helps show where Qing Wan may publish in the future.
Co-authorship network of co-authors of Qing Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Wan. A scholar is included among the top collaborators of Qing Wan 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 Qing Wan. Qing Wan 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 88 | |
| 10 | 10 | |
| 11 | 113 | |
| 12 | 54 | |
| 13 | 159 | |
| 14 | 25 | |
| 15 | Deposition of carbonate slope and ore-forming in Permian strata in the Middle-Lower Reaches of the Yangtze River., east China | 5 |
| 16 | 167 | |
| 17 | Design and Development of the Highway Maintenance Management System | 1 |
| 18 | 42 | |
| 19 | 314 | |
| 20 | 17 |
About Qing Wan
Qing Wan is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Neuroscience and Neural Engineering (10 papers) and ZnO doping and properties (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (918 citations), Polymers and Plastics (600 citations) and Electrical and Electronic Engineering (2.3k citations). Qing Wan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yongli Gao, Junliang Yang, Jun He, Jie Jiang, Liang Yu, Wennan Hu, Dingdong Xie, Dongmei Niu, Yang Ming Fu and Eric N. Dattoli. Their work appears in journals such as Advanced Materials, Nano Letters and Applied Physics 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.