Qingmei Chen
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Biomedical Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Richard I. MaselQun LiuRobert KützZengcai LiuHongzhou YangSyed D. SajjadLi JiaQingjun Liu
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)Advanced biosensing and bioanalysis techniques (9 papers)Evolution and Genetic Dynamics (8 papers)
- Cited by
- Modeling and SimulationProcess Chemistry and TechnologyRenewable Energy, Sustainability and the Environment
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Qingmei Chen
111 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 170
- Molecular Biology 770
- Materials Chemistry 633
- Biomedical Engineering 583
- Renewable Energy, Sustainability and the Environment 497
- Electrical and Electronic Engineering 476
Countries citing papers authored by Qingmei Chen
This map shows the geographic impact of Qingmei Chen'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 Qingmei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingmei Chen more than expected).
Fields of papers citing papers by Qingmei Chen
This network shows the impact of papers produced by Qingmei Chen. 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 Qingmei Chen. The network helps show where Qingmei Chen may publish in the future.
Co-authorship network of co-authors of Qingmei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Qingmei Chen. A scholar is included among the top collaborators of Qingmei Chen 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 Qingmei Chen. Qingmei Chen 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 38 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 15 | |
| 11 | 20 | |
| 12 | 81 | |
| 13 | 15 | |
| 14 | Serum Uric Acid Levels and Risk of Incident Hypertriglyceridemia: A Longitudinal Population-based Epidemiological Study. | 16 |
| 15 | 19 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 27 |
About Qingmei Chen
Qingmei Chen is a scholar working on Modeling and Simulation, Neurology and Sensory Systems, having authored 120 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Modeling and Simulation (173 citations), Process Chemistry and Technology (96 citations) and Renewable Energy, Sustainability and the Environment (497 citations). Qingmei Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Richard I. Masel, Qun Liu, Robert Kütz, Zengcai Liu, Hongzhou Yang, Syed D. Sajjad, Li Jia, Qingjun Liu, Yanli Lu and Yiqun Deng. Their work appears in journals such as The Journal of Immunology, PLoS ONE and The Science of The Total Environment.
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.