Xiaoying Mu

908 citations
33 papers · 674 · h-index 15

Impact in

Papers in

    • Microbial Community Ecology and Physiology 12
    • Coastal wetland ecosystem dynamics 4
    • Protist diversity and phylogeny 6

Xiaoying Mu

31 papers receiving 659 citations

Peers

Xiaoying Mu
Comparison fields: 5 of 70
  • Pollution 231
  • Industrial and Manufacturing Engineering 128
  • Environmental Chemistry 123
  • Ecology 274
  • Water Science and Technology 47
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Donglan He China
Heather Felgate United Kingdom
Xiaoqiong Wan China
Xiyan Ji China
Rosa Cañizares Spain
Carlos M. Romero United States
Yuexiang Gao China
Ángel Barón‐Sola Spain
Miaomiao Yan China
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Citations per year

Countries citing papers authored by Xiaoying Mu

Since Specialization
Citations

This map shows the geographic impact of Xiaoying 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 Xiaoying Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Mu more than expected).

Fields of papers citing papers by Xiaoying Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoying 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 Xiaoying Mu. The network helps show where Xiaoying Mu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoying 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 Xiaoying Mu Line = papers co-authored together Xiaoying Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201589
2 201869
3 202157
4 202250
5 201949
6 202044
7 202040
8 202036
9 202031
10 202028
11 202425
12 202125
13 202317
14 202216
15 201515
16 202213
17 202311
18 20189
19 20239
20 20248

About Xiaoying Mu

Xiaoying Mu is a scholar working on Ecology, Molecular Biology, Pollution, Environmental Chemistry and Plant Science, having authored 33 papers that have together received 674 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (12 papers), Aquatic Ecosystems and Phytoplankton Dynamics (6 papers), Protist diversity and phylogeny (6 papers), Wastewater Treatment and Nitrogen Removal (5 papers), Constructed Wetlands for Wastewater Treatment (4 papers), Coastal wetland ecosystem dynamics (4 papers), Plant-Microbe Interactions and Immunity (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Pollution (231 citations), Industrial and Manufacturing Engineering (128 citations), Environmental Chemistry (123 citations), Ecology (274 citations) and Water Science and Technology (47 citations). Xiaoying Mu has collaborated with scholars based in China, Rwanda and Türkiye. Frequent co-authors include Songhe Zhang, Bing Han, Ziqiu Zhang, Okugbe Ebiotubo Ohore, Qing Yang, Wenjiao Zhu, Yu Ma, Ke Shi, Yang Liu and Lingling Yan. Their work appears in journals such as The Science of The Total Environment, Bioresource Technology, Process Safety and Environmental Protection, Chemosphere and Environmental Pollution.

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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