Songsong Li

978 citations
28 papers · 723 indexed · h-index 12
Topics
Quantum Mechanics and Applications (5 papers)Legume Nitrogen Fixing Symbiosis (5 papers)Quantum Information and Cryptography (5 papers)

In The Last Decade

Songsong Li

24 papers receiving 701 citations

Peers

Songsong Li
Comparison fields: 5 of 79
  • Plant Science 388
  • Artificial Intelligence 215
  • Atomic and Molecular Physics, and Optics 189
  • Molecular Biology 168
  • Soil Science 54
Replace Yunbo Zhang with:
Yunbo Zhang China
Marco Gomes Italy
Hua Yu China
Wei-Yue Liu China
Zoltán Szigeti Hungary
Chuang Liu China
Ioan ROTAR Romania
Harvey J. Gold United States
Ralf Metzner Germany
Monika Zubik Poland
Songsong Li relative to Yunbo Zhang China Yunbo Zhang's profile →
Citations per field
00.5×7.4×
Yunbo Zhang · 1×
Citations per year

Countries citing papers authored by Songsong Li

Since Specialization
Citations

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

Fields of papers citing papers by Songsong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songsong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Songsong Li. A scholar is included among the top collaborators of Songsong Li 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 Songsong Li. Songsong Li 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 4
3 10
4 12
5 32
6 0
7 2
8 42
9 9
10 46
11 1
12 9
13 44
14 249
15
Enhancement of the antimicrobial activity of eugenol and carvacrol against Escherichia coli O157:H7 by lecithin in microbiological media and food
11
16 1
17 26
18 69
19 61
20 14

About Songsong Li

Songsong Li is a scholar working on Discrete Mathematics and Combinatorics, Filtration and Separation and Artificial Intelligence, having authored 28 papers that have together received 723 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Quantum Information and Cryptography (5 papers). The work is most often cited by research in Plant Science (388 citations), Artificial Intelligence (215 citations) and Atomic and Molecular Physics, and Optics (189 citations). Songsong Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yibin Huang, Yi-you Nie, Wei Gao, Wenxue Li, Meng Zhao, Wénwén Liú, Huanhuan Tai, Chuanxiao Xie, Xiaoqing Liu and Wenjing Xu. Their work appears in journals such as New Phytologist, Forest Ecology and Management and Theoretical and Applied Genetics.

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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