Xing Song

930 citations
37 papers · 652 indexed · h-index 15
Topics
Oil Spill Detection and Mitigation (10 papers)Microbial bioremediation and biosurfactants (8 papers)Microplastics and Plastic Pollution (7 papers)
Partner nations
CanadaChinaNew Zealand

In The Last Decade

Xing Song

34 papers receiving 641 citations

Peers

Xing Song
Comparison fields: 5 of 109
  • Pollution 276
  • Health, Toxicology and Mutagenesis 96
  • Artificial Intelligence 69
  • Biomedical Engineering 69
  • Water Science and Technology 62
Replace Luis G. Torres with:
Luis G. Torres Mexico
Jongkwan Park South Korea
N. Sakthipriya India
Nelson P. Bryner United States
Lingke Zeng China
Huan Ding China
Haibo Niu Canada
Xuemin Ye China
Xing Song relative to Luis G. Torres Mexico Luis G. Torres's profile →
Citations per field
00.5×5.2×
Luis G. Torres · 1×
Citations per year

Countries citing papers authored by Xing Song

Since Specialization
Citations

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

Fields of papers citing papers by Xing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Song. A scholar is included among the top collaborators of Xing Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xing Song. Xing Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 15
3 6
4 2
5 3
6 2
7 4
8 67
9 14
10 27
11 7
12 14
13 4
14 61
15 71
16 61
17 0
18 11
19
Reading the mind: The potential of electroencephalography in brain computer interfaces
10
20
Nonlinear 3-D Motion Simulation Using Multi-Sensor Data Fusion.
0

About Xing Song

Xing Song is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 652 indexed citations. Recurring topics across this work include Oil Spill Detection and Mitigation (10 papers), Microbial bioremediation and biosurfactants (8 papers) and Microplastics and Plastic Pollution (7 papers). The work is most often cited by research in Pollution (276 citations), Surfaces, Coatings and Films (60 citations) and Industrial and Manufacturing Engineering (61 citations). Xing Song has collaborated with scholars based in Canada, China and New Zealand. Frequent co-authors include Baiyu Zhang, Bing Chen, Kenneth Lee, Yiqi Cao, Zhiwen Zhu, Xudong Ye, Guihua Dong, Qinhong Cai, Yu Zhou and Wei Zhang. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Applied and Environmental Microbiology.

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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