Mingkai Qu
Impact in
- Pollution top 1%
- Heavy metals in environment
-
- Radioactivity and Radon Measurements
Papers in
-
- Soil Geostatistics and Mapping 30
- Pollution 27
- Heavy metals in environment 27
- Co-authors
- Biao Huang (39 shared papers)Yongcun Zhao (32 shared papers)Weidong Li (15 shared papers)Chuanrong Zhang (14 shared papers)Wenyou Hu (8 shared papers)Chen Jian (14 shared papers)Mengxue Wan (4 shared papers)Haidong Zhang (2 shared papers)
- Journals
- Environmental Pollution (9 papers)The Science of The Total Environment (5 papers)Ecological Indicators (3 papers)Ecological Informatics (3 papers)Soil Science Society of America Journal (3 papers)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Mingkai Qu
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Pollution 591
- Radiological and Ultrasound Technology 155
- Environmental Engineering 384
- Soil Science 171
- Health, Toxicology and Mutagenesis 189
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 105 | |
| 2 | 2016 | 93 | |
| 3 | 2018 | 81 | |
| 4 | 2013 | 80 | |
| 5 | 2020 | 78 | |
| 6 | 2022 | 69 | |
| 7 | 2020 | 46 | |
| 8 | 2012 | 46 | |
| 9 | 2019 | 39 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 35 | |
| 12 | 2013 | 33 | |
| 13 | 2018 | 31 | |
| 14 | 2020 | 26 | |
| 15 | 2013 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2012 | 22 | |
| 20 | 2021 | 20 |
About Mingkai Qu
Mingkai Qu is a scholar working on Environmental Engineering, Pollution, Artificial Intelligence, Management, Monitoring, Policy and Law and Soil Science, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (30 papers), Geochemistry and Geologic Mapping (27 papers), Heavy metals in environment (27 papers), Soil and Land Suitability Analysis (9 papers), Soil Carbon and Nitrogen Dynamics (9 papers), Soil and Water Nutrient Dynamics (7 papers), Spatial and Panel Data Analysis (5 papers) and Soil erosion and sediment transport (3 papers). The work is most often cited by research in Pollution (591 citations), Radiological and Ultrasound Technology (155 citations), Environmental Engineering (384 citations), Soil Science (171 citations) and Health, Toxicology and Mutagenesis (189 citations). Mingkai Qu has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Biao Huang, Yongcun Zhao, Weidong Li, Chuanrong Zhang, Wenyou Hu, Chen Jian, Mengxue Wan, Haidong Zhang, Junfeng Kang and Shanqin Wang. Their work appears in journals such as Environmental Pollution, The Science of The Total Environment, Ecological Indicators, Ecological Informatics and Soil Science Society of America Journal.
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.