Yu Mo

1.3k citations
36 papers · 942 · h-index 16

Impact in

    • biodegradable polymer synthesis and properties
    • Electrospun Nanofibers in Biomedical Applications
  • Pollution top 2%
    • Microplastics and Plastic Pollution

Papers in

Yu Mo

33 papers receiving 924 citations

Peers

Yu Mo
Comparison fields: 5 of 98
  • Biomaterials 395
  • Pollution 338
  • Process Chemistry and Technology 71
  • Industrial and Manufacturing Engineering 78
  • Aging 14
Replace Minna Vikman with:
Minna Vikman Finland
Anu Kapanen Finland
Chongyang Li United States
Deniz F. Aktas United States
Carmen Fajardo Spain
Loredana Manfra Italy
Johanna K. Voordouw Canada
Erica L.‐W. Majumder United States
Jinxia Fu United States
Yu Mo relative to Minna Vikman Finland Minna Vikman's profile →
Citations per field
00.5×1.5×2.5×
Minna Vikman · 1×
Citations per year

Countries citing papers authored by Yu Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yu Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014384
2 201565
3 201455
4 201347
5 201440
6 201237
7 201530
8 201026
9 201525
10 201825
11 202318
12 201717
13 201917
14 202016
15 201715
16 201515
17 201414
18 201714
19 201913
20 202010

About Yu Mo

Yu Mo is a scholar working on Ecology, Global and Planetary Change, Biomedical Engineering, Pollution and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 942 indexed citations. Recurring topics across this work include Coastal wetland ecosystem dynamics (9 papers), Land Use and Ecosystem Services (4 papers), Tropical and Extratropical Cyclones Research (4 papers), Iterative Learning Control Systems (3 papers), Microplastics and Plastic Pollution (3 papers), Remote Sensing in Agriculture (3 papers), Thermochemical Biomass Conversion Processes (2 papers) and Hydraulic and Pneumatic Systems (2 papers). The work is most often cited by research in Biomaterials (395 citations), Pollution (338 citations), Process Chemistry and Technology (71 citations), Industrial and Manufacturing Engineering (78 citations) and Aging (14 citations). Yu Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chia-Lung Chen, Giin-Yu Amy Tan, Jing‐Yuan Wang, Lei Zhao, Ling Li, Liya Ge, Shu‐Shen Liu, Lin Wang, Yanhong Li and Michael Kearney. Their work appears in journals such as Electronics, Analytical Methods, Journal of Water Process Engineering, Remote Sensing and Applied Microbiology and Biotechnology.

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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