Min Qi
Impact in
- Environmental Chemistry top 5%
- Aquatic Ecosystems and Phytoplankton Dynamics
- Oceanography top 5%
- Marine and coastal ecosystems
Papers in
-
- Face and Expression Recognition 3
-
- Synthesis and Reactivity of Heterocycles 2
- Co-authors
- Yuan Niu (4 shared papers)Zhimei Ma (3 shared papers)Min Tao (3 shared papers)Ping Xie (3 shared papers)Jun Chen (3 shared papers)Jun Chen (1 shared paper)Hong Shen (1 shared paper)Xi Yang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Data Science Journal (1 paper)Nuclear Engineering and Design (1 paper)Frontiers in Environmental Science (1 paper)Environmental Science and Pollution Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Min Qi
34 papers receiving 513 citations
Peers
Comparison fields: 5 of 112
- Environmental Chemistry 212
- Oceanography 156
- Pollution 65
- Ecology 133
- Health, Toxicology and Mutagenesis 68
Countries citing papers authored by Min Qi
This map shows the geographic impact of Min Qi'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 Min Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Qi more than expected).
Fields of papers citing papers by Min Qi
This network shows the impact of papers produced by Min Qi. 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 Min Qi. The network helps show where Min Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 139 | |
| 2 | 2010 | 93 | |
| 3 | 2010 | 91 | |
| 4 | 2012 | 34 | |
| 5 | 2020 | 21 | |
| 6 | MICROCYSTIS BLOOMS INFLUENCING VOLATILE ORGANIC COMPOUNDS CONCENTRATIONS IN LAKE TAIHU | 2013 | 20 |
| 7 | 2020 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 10 | |
| 11 | 2014 | 10 | |
| 12 | 2024 | 8 | |
| 13 | 2025 | 6 | |
| 14 | [Determination of trace elements in new food sources by flame atomic absorption spectrophotometry]. | 2007 | 6 |
| 15 | 2011 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2007 | 3 | |
| 20 | 2013 | 3 |
About Min Qi
Min Qi is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry, Health, Toxicology and Mutagenesis, Environmental Chemistry and Oceanography, having authored 37 papers that have together received 526 indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (4 papers), Marine and coastal ecosystems (4 papers), Toxic Organic Pollutants Impact (4 papers), Face and Expression Recognition (3 papers), Simulation and Modeling Applications (3 papers), Biometric Identification and Security (2 papers), Synthesis and Reactivity of Heterocycles (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Environmental Chemistry (212 citations), Oceanography (156 citations), Pollution (65 citations), Ecology (133 citations) and Health, Toxicology and Mutagenesis (68 citations). Min Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuan Niu, Zhimei Ma, Min Tao, Ping Xie, Jun Chen, Jun Chen, Hong Shen, Xi Yang, Peifu Jiao and Bing Yan. Their work appears in journals such as PLoS ONE, Data Science Journal, Nuclear Engineering and Design, Frontiers in Environmental Science and Environmental Science and Pollution Research.
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.