Jun Mu
Impact in
- Pollution top 1%
- Wastewater Treatment and Nitrogen Removal
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- Constructed Wetlands for Wastewater Treatment
Papers in
-
- Lignin and Wood Chemistry 30
- Thermochemical Biomass Conversion Processes 10
- Pollution 26
- Microbial bioremediation and biosurfactants 12
- Wastewater Treatment and Nitrogen Removal 12
- Co-authors
- Guangfeng Yang (20 shared papers)Qihang Wang (9 shared papers)Lijuan Feng (16 shared papers)Tohru Uehara (4 shared papers)Takeshi Furuno (4 shared papers)Zongyuan Lai (9 shared papers)Zhiming Yu (3 shared papers)Yi Zhang (11 shared papers)
In The Last Decade
Jun Mu
120 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 137
- Pollution 627
- Industrial and Manufacturing Engineering 330
- Water Science and Technology 468
- Building and Construction 347
- Polymers and Plastics 349
Countries citing papers authored by Jun Mu
This map shows the geographic impact of Jun Mu'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 Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mu more than expected).
Fields of papers citing papers by Jun Mu
This network shows the impact of papers produced by Jun Mu. 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 Mu. The network helps show where Jun Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mu, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 171 | |
| 2 | 2018 | 146 | |
| 3 | 2013 | 112 | |
| 4 | 2009 | 111 | |
| 5 | 2021 | 100 | |
| 6 | 2017 | 97 | |
| 7 | 2016 | 91 | |
| 8 | 2003 | 89 | |
| 9 | 2020 | 83 | |
| 10 | 2016 | 81 | |
| 11 | 2009 | 80 | |
| 12 | 2012 | 72 | |
| 13 | 2004 | 72 | |
| 14 | 2022 | 62 | |
| 15 | 2016 | 56 | |
| 16 | 2005 | 53 | |
| 17 | 2015 | 52 | |
| 18 | 2006 | 46 | |
| 19 | 2009 | 41 | |
| 20 | 2020 | 41 |
About Jun Mu
Jun Mu is a scholar working on Biomedical Engineering, Pollution, Polymers and Plastics, Building and Construction and Plant Science, having authored 127 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (30 papers), Natural Fiber Reinforced Composites (12 papers), Microbial bioremediation and biosurfactants (12 papers), Wastewater Treatment and Nitrogen Removal (12 papers), Wood Treatment and Properties (11 papers), Thermochemical Biomass Conversion Processes (10 papers), Microbial Community Ecology and Physiology (10 papers) and Constructed Wetlands for Wastewater Treatment (7 papers). The work is most often cited by research in Pollution (627 citations), Industrial and Manufacturing Engineering (330 citations), Water Science and Technology (468 citations), Building and Construction (347 citations) and Polymers and Plastics (349 citations). Jun Mu has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Guangfeng Yang, Qihang Wang, Lijuan Feng, Tohru Uehara, Takeshi Furuno, Zongyuan Lai, Zhiming Yu, Yi Zhang, Yang Zhang and Hanzhou Ye. Their work appears in journals such as Bioresource Technology, Biodegradation, Marine Pollution Bulletin, BioResources and Journal of Environmental Sciences.
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.