Jun Man
Impact in
- Environmental Engineering top 5%
- Groundwater flow and contamination studies
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- Heavy metals in environment
Papers in
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- Groundwater flow and contamination studies 14
- Soil Geostatistics and Mapping 3
-
- Soil and Unsaturated Flow 8
- Co-authors
- Lingzao Zeng (11 shared papers)Laosheng Wu (10 shared papers)Jiangjiang Zhang (7 shared papers)Yijun Yao (13 shared papers)Guang Lin (2 shared papers)Weixuan Li (2 shared papers)Yongming Luo (2 shared papers)Shuyou Zhang (2 shared papers)
- Journals
- Advances in Water Resources (4 papers)Water Resources Research (2 papers)Journal of Hydrology (2 papers)Journal of Hazardous Materials (2 papers)Exposure and Health (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jun Man
27 papers receiving 353 citations
Jun Man's Hit Papers
Peers
Comparison fields: 5 of 66
- Environmental Engineering 166
- Pollution 62
- Water Science and Technology 67
- Statistics, Probability and Uncertainty 32
- Civil and Structural Engineering 92
Countries citing papers authored by Jun Man
This map shows the geographic impact of Jun Man'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 Jun Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Man more than expected).
Fields of papers citing papers by Jun Man
This network shows the impact of papers produced by Jun Man. 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 Jun Man. The network helps show where Jun Man may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Man, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Escalating arsenic contamination throughout Chinese soils Hit paper breakdown → | 2024 | 85 |
| 2 | 2018 | 43 | |
| 3 | 2019 | 28 | |
| 4 | 2016 | 22 | |
| 5 | 2010 | 21 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 9 | |
| 12 | 2008 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 6 |
About Jun Man
Jun Man is a scholar working on Environmental Engineering, Civil and Structural Engineering, Statistics, Probability and Uncertainty, Pollution and Ocean Engineering, having authored 32 papers that have together received 368 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (14 papers), Soil and Unsaturated Flow (8 papers), Probabilistic and Robust Engineering Design (7 papers), Heavy metals in environment (4 papers), Geochemistry and Geologic Mapping (3 papers), Hydrology and Watershed Management Studies (3 papers), Heavy Metal Exposure and Toxicity (3 papers) and Soil Geostatistics and Mapping (3 papers). The work is most often cited by research in Environmental Engineering (166 citations), Pollution (62 citations), Water Science and Technology (67 citations), Statistics, Probability and Uncertainty (32 citations) and Civil and Structural Engineering (92 citations). Jun Man has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Lingzao Zeng, Laosheng Wu, Jiangjiang Zhang, Yijun Yao, Guang Lin, Weixuan Li, Yongming Luo, Shuyou Zhang, Changlong Wei and Lili Niu. Their work appears in journals such as Advances in Water Resources, Water Resources Research, Journal of Hydrology, Journal of Hazardous Materials and Exposure and Health.
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.