Yi Song

508 citations
33 papers · 425 indexed · h-index 11
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (18 papers)Evolution and Genetic Dynamics (15 papers)Gene Regulatory Network Analysis (6 papers)
Partner nations
ChinaSwedenAustralia

In The Last Decade

Yi Song

32 papers receiving 407 citations

Peers

Yi Song
Comparison fields: 5 of 67
  • Public Health, Environmental and Occupational Health 299
  • Modeling and Simulation 201
  • Genetics 184
  • Computer Networks and Communications 61
  • Statistical and Nonlinear Physics 45
Replace Ting‐Hui Yang with:
Ting‐Hui Yang Taiwan
Yasuhisa Saito Japan
Shulin Sun China
Chufen Wu China
Huidong Cheng China
Guoping Pang China
Chunjin Wei China
Wencai Zhao China
Xiao‐Bing Zhang China
Jingliang Lv China
Yi Song relative to Ting‐Hui Yang Taiwan Ting‐Hui Yang's profile →
Citations per field
00.5×4.9×
Ting‐Hui Yang · 1×
Citations per year

Countries citing papers authored by Yi Song

Since Specialization
Citations

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

Fields of papers citing papers by Yi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Song. A scholar is included among the top collaborators of Yi 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 Yi Song. Yi 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 1
2 8
3 0
4 4
5 2
6 4
7 5
8 4
9 3
10 34
11 4
12 5
13 17
14 48
15 16
16 21
17 33
18 2
19 3
20
Summary on the study of dynamics analysis and vibration control of flexible robots
2

About Yi Song

Yi Song is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 33 papers that have together received 425 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Evolution and Genetic Dynamics (15 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Modeling and Simulation (201 citations), Public Health, Environmental and Occupational Health (299 citations) and Genetics (184 citations). Yi Song has collaborated with scholars based in China, Sweden and Australia. Frequent co-authors include Tongqian Zhang, Xinzhu Meng, Tonghua Zhang, Wencai Zhao, Wei Xu, Yue Rong, Jianxin Liu, Wei Wei, Zhenqing Li and Jiankang Liu. Their work appears in journals such as The Journal of Physical Chemistry C, Chemical Engineering Science and Journal of the Franklin Institute.

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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