Jun Wu
Impact in
- Pollution top 0.5%
- Wastewater Treatment and Nitrogen Removal
-
- Constructed Wetlands for Wastewater Treatment
Papers in
- Pollution 61
- Wastewater Treatment and Nitrogen Removal 58
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- Membrane Separation Technologies 20
- Co-authors
- Chengda He (19 shared papers)Adi Eisenberg (3 shared papers)Yajun Fan (18 shared papers)Miao Zhang (18 shared papers)Fei Wei (1 shared paper)Yao Wang (1 shared paper)Mark J. Biggs (6 shared papers)Eric Hu (6 shared papers)
In The Last Decade
Jun Wu
127 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 116
- Pollution 1.1k
- Industrial and Manufacturing Engineering 473
- Water Science and Technology 718
- Health, Toxicology and Mutagenesis 364
- Environmental Engineering 356
Countries citing papers authored by Jun Wu
This map shows the geographic impact of Jun Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu more than expected).
Fields of papers citing papers by Jun Wu
This network shows the impact of papers produced by Jun Wu. 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 Wu. The network helps show where Jun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wu, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 196 | |
| 2 | 2005 | 144 | |
| 3 | 2019 | 128 | |
| 4 | 2006 | 91 | |
| 5 | 2007 | 89 | |
| 6 | 2019 | 86 | |
| 7 | 2020 | 84 | |
| 8 | 2022 | 78 | |
| 9 | 2016 | 77 | |
| 10 | 2011 | 70 | |
| 11 | 2016 | 66 | |
| 12 | 2019 | 63 | |
| 13 | 2017 | 63 | |
| 14 | 2011 | 53 | |
| 15 | 2012 | 48 | |
| 16 | 2019 | 47 | |
| 17 | 2012 | 46 | |
| 18 | 2005 | 46 | |
| 19 | 2013 | 45 | |
| 20 | 2012 | 43 |
About Jun Wu
Jun Wu is a scholar working on Pollution, Water Science and Technology, Industrial and Manufacturing Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 141 papers that have together received 3.0k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (58 papers), Membrane Separation Technologies (20 papers), Constructed Wetlands for Wastewater Treatment (16 papers), Water Treatment and Disinfection (15 papers), Microbial Fuel Cells and Bioremediation (14 papers), Advanced Polymer Synthesis and Characterization (11 papers), Membrane-based Ion Separation Techniques (10 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Pollution (1.1k citations), Industrial and Manufacturing Engineering (473 citations), Water Science and Technology (718 citations), Health, Toxicology and Mutagenesis (364 citations) and Environmental Engineering (356 citations). Jun Wu has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Chengda He, Adi Eisenberg, Yajun Fan, Miao Zhang, Fei Wei, Yao Wang, Mark J. Biggs, Eric Hu, Joon‐Seop Kim and Yizhong Liu. Their work appears in journals such as Journal of environmental chemical engineering, Chemical Engineering Journal, Macromolecules, Journal of Environmental Management and Journal of Water Process Engineering.
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.