Mingkai Qu
Impact in
- Pollution top 2%
- Heavy metals in environment
-
- Radioactivity and Radon Measurements
Papers in
-
- Soil Geostatistics and Mapping 29
- Pollution 25
- Heavy metals in environment 25
- Co-authors
- Biao Huang (36 shared papers)Yongcun Zhao (30 shared papers)Weidong Li (14 shared papers)Chuanrong Zhang (13 shared papers)Wenyou Hu (8 shared papers)Chen Jian (13 shared papers)Haidong Zhang (2 shared papers)Junfeng Kang (3 shared papers)
- Journals
- Environmental Pollution (8 papers)The Science of The Total Environment (5 papers)Ecological Indicators (3 papers)Journal of Hazardous Materials (3 papers)Ecological Informatics (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mingkai Qu
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Pollution 599
- Radiological and Ultrasound Technology 154
- Environmental Engineering 380
- Soil Science 174
- Health, Toxicology and Mutagenesis 193
Countries citing papers authored by Mingkai Qu
This map shows the geographic impact of Mingkai Qu'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 Mingkai Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingkai Qu more than expected).
Fields of papers citing papers by Mingkai Qu
This network shows the impact of papers produced by Mingkai Qu. 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 Mingkai Qu. The network helps show where Mingkai Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingkai Qu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2016 | 98 | |
| 3 | 2020 | 86 | |
| 4 | 2013 | 83 | |
| 5 | 2018 | 81 | |
| 6 | 2022 | 78 | |
| 7 | 2020 | 51 | |
| 8 | 2012 | 47 | |
| 9 | 2019 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 2019 | 40 | |
| 12 | 2013 | 33 | |
| 13 | 2018 | 30 | |
| 14 | 2020 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2013 | 26 | |
| 17 | 2012 | 23 | |
| 18 | 2023 | 23 | |
| 19 | 2014 | 23 | |
| 20 | 2021 | 21 |
About Mingkai Qu
Mingkai Qu is a scholar working on Environmental Engineering, Pollution, Soil Science, Artificial Intelligence and Management, Monitoring, Policy and Law, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (29 papers), Heavy metals in environment (25 papers), Geochemistry and Geologic Mapping (25 papers), Soil Carbon and Nitrogen Dynamics (9 papers), Soil and Land Suitability Analysis (8 papers), Soil and Water Nutrient Dynamics (7 papers), Spatial and Panel Data Analysis (4 papers) and Heavy Metal Exposure and Toxicity (3 papers). The work is most often cited by research in Pollution (599 citations), Radiological and Ultrasound Technology (154 citations), Environmental Engineering (380 citations), Soil Science (174 citations) and Health, Toxicology and Mutagenesis (193 citations). Mingkai Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Biao Huang, Yongcun Zhao, Weidong Li, Chuanrong Zhang, Wenyou Hu, Chen Jian, Haidong Zhang, Junfeng Kang, Mengxue Wan and Shanqin Wang. Their work appears in journals such as Environmental Pollution, The Science of The Total Environment, Ecological Indicators, Journal of Hazardous Materials and Ecological Informatics.
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.