Jun Mu

3.3k citations
108 papers · 2.9k · h-index 29

Impact in

  • Pollution top 2%
    • Wastewater Treatment and Nitrogen Removal
    • Microbial bioremediation and biosurfactants
    • Adsorption and biosorption for pollutant removal
    • Coagulation and Flocculation Studies

Papers in

Jun Mu

106 papers receiving 2.8k citations

Peers

Jun Mu
Comparison fields: 5 of 95
  • Pollution 564
  • Water Science and Technology 441
  • Building and Construction 296
  • Renewable Energy, Sustainability and the Environment 214
  • Polymers and Plastics 158
Replace María Cristina Diez with:
María Cristina Diez Chile
Can Wang China
A. Arun India
Bo Jiang China
Byung‐Taek Oh South Korea
Anna Jarosz‐Wilkołazka Poland
Xiang Xiao China
Zhen Yu China
Xiaoyan Liu China
Jun Mu relative to María Cristina Diez Chile María Cristina Diez's profile →
Citations per field
00.5×2×3×3.9×
María Cristina Diez · 1×
Citations per year

Countries citing papers authored by Jun Mu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Mu Line = papers co-authored together Jun Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016176
2 2018149
3 2013112
4 2009111
5 2021106
6 201798
7 201693
8 200392
9 202088
10 201686
11 200980
12 201275
13 202270
14 201659
15 202044
16 202043
17 202242
18 200941
19 202241
20 202441

About Jun Mu

Jun Mu is a scholar working on Pollution, Building and Construction, Water Science and Technology, Polymers and Plastics and Biomedical Engineering, having authored 108 papers that have together received 2.9k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (16 papers), Wood Treatment and Properties (13 papers), Wastewater Treatment and Nitrogen Removal (12 papers), Microbial bioremediation and biosurfactants (9 papers), Astrophysics and Cosmic Phenomena (8 papers), Adsorption and biosorption for pollutant removal (7 papers), Microbial Natural Products and Biosynthesis (7 papers) and Flame retardant materials and properties (5 papers). The work is most often cited by research in Pollution (564 citations), Water Science and Technology (441 citations), Building and Construction (296 citations), Renewable Energy, Sustainability and the Environment (214 citations) and Polymers and Plastics (158 citations). Jun Mu has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Guangfeng Yang, Qihang Wang, Lijuan Feng, Demiao Chu, Zongyuan Lai, Zhiming Yu, Yi Zhang, Hanzhou Ye, Yang Zhang and Da‐Cheng Hao. Their work appears in journals such as Bioresource Technology, Biodegradation, Marine Pollution Bulletin, Journal of Environmental Sciences and BioResources.

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.

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