Jun W. Wu
Impact in
- Pollution top 0.5%
- Wastewater Treatment and Nitrogen Removal
- Water Science and Technology top 2%
- Membrane Separation Technologies
- Advanced oxidation water treatment
Papers in
- Pollution 57
- Wastewater Treatment and Nitrogen Removal 55
-
- Membrane Separation Technologies 9
- Coagulation and Flocculation Studies 4
- 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)Eric Jing Hu (6 shared papers)Mark J. Biggs (6 shared papers)
In The Last Decade
Jun W. Wu
133 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 94
- Pollution 1.2k
- Water Science and Technology 561
- Environmental Chemistry 123
- Waste Management and Disposal 89
- Polymers and Plastics 152
Countries citing papers authored by Jun W. Wu
This map shows the geographic impact of Jun W. 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 W. 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 W. Wu more than expected).
Fields of papers citing papers by Jun W. Wu
This network shows the impact of papers produced by Jun W. 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 W. Wu. The network helps show where Jun W. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun W. 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 | 212 | |
| 2 | 2005 | 146 | |
| 3 | 2019 | 131 | |
| 4 | 2006 | 103 | |
| 5 | 2007 | 91 | |
| 6 | 2019 | 88 | |
| 7 | 2020 | 88 | |
| 8 | 2022 | 85 | |
| 9 | 2016 | 79 | |
| 10 | 2011 | 73 | |
| 11 | 2016 | 69 | |
| 12 | 2019 | 68 | |
| 13 | 2017 | 65 | |
| 14 | 2011 | 54 | |
| 15 | 2012 | 51 | |
| 16 | 2019 | 49 | |
| 17 | 2005 | 48 | |
| 18 | 2013 | 48 | |
| 19 | 2012 | 47 | |
| 20 | 2016 | 47 |
About Jun W. Wu
Jun W. Wu is a scholar working on Pollution, Water Science and Technology, Renewable Energy, Sustainability and the Environment, Analytical Chemistry and Organic Chemistry, having authored 141 papers that have together received 3.2k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (55 papers), Advanced Polymer Synthesis and Characterization (9 papers), Membrane Separation Technologies (9 papers), Analytical chemistry methods development (6 papers), Adsorption and Cooling Systems (6 papers), Advanced Photocatalysis Techniques (5 papers), Block Copolymer Self-Assembly (4 papers) and Coagulation and Flocculation Studies (4 papers). The work is most often cited by research in Pollution (1.2k citations), Water Science and Technology (561 citations), Environmental Chemistry (123 citations), Waste Management and Disposal (89 citations) and Polymers and Plastics (152 citations). Jun W. 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, Eric Jing Hu, Mark J. Biggs, Joon‐Seop Kim and Yizhong Liu. Their work appears in journals such as Journal of environmental chemical engineering, Chemical Engineering Journal, Macromolecules, Environmental Science and Pollution Research 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.