Liyan Song

576 citations
42 papers · 388 indexed · h-index 12
Topics
Software Engineering Research (10 papers)Software Reliability and Analysis Research (8 papers)Software System Performance and Reliability (8 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Medicinal ChemistryOptics Letters

In The Last Decade

Liyan Song

35 papers receiving 374 citations

Peers

Liyan Song
Comparison fields: 5 of 82
  • Information Systems 174
  • Software 126
  • Artificial Intelligence 79
  • Computer Networks and Communications 63
  • Atomic and Molecular Physics, and Optics 55
Replace Y. Watanabe with:
Y. Watanabe United States
Nguyen Nguyen United States
Marc Brockschmidt United States
Timothy J. Harvey United States
Xiaolin Jia China
Walid Ibrahim United Arab Emirates
Lun Li China
Johanna Barzen Germany
Liyan Song relative to Y. Watanabe United States Y. Watanabe's profile →
Citations per field
00.5×10×13.7×
Y. Watanabe · 1×
Citations per year

Countries citing papers authored by Liyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Liyan Song. A scholar is included among the top collaborators of Liyan 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 Liyan Song. Liyan 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 2
2 0
3 3
4 0
5 1
6 0
7 4
8 0
9 2
10 8
11 6
12 0
13 16
14 4
15 19
16
What Online Success Means to Online Instructors: A Grounded Theory Investigation.
2
17
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator
2
18
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA
0
19
Exploring Undergraduate Students' Skills, Level of Comfort, and Perceived Benefit of Using Technology for Learning.
1
20 63

About Liyan Song

Liyan Song is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 42 papers that have together received 388 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Software Reliability and Analysis Research (8 papers) and Software System Performance and Reliability (8 papers). The work is most often cited by research in Software (126 citations), Information Systems (174 citations) and Biophysics (31 citations). Liyan Song has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Leandro L. Minku, Xin Yao, Xiaoning Shen, Yikun Liu, Sadia Tabassum, Jianying Zhou, Hongli Pan, Rainer Heintzmann, A Jost and Ronny Förster. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Optics Letters.

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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