Song Li

552 total citations
46 papers, 332 citations indexed

About

Song Li is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Song Li has authored 46 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 21 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Song Li's work include Advanced Malware Detection Techniques (9 papers), Security and Verification in Computing (5 papers) and Network Security and Intrusion Detection (4 papers). Song Li is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Security and Verification in Computing (5 papers) and Network Security and Intrusion Detection (4 papers). Song Li collaborates with scholars based in China, United States and Germany. Song Li's co-authors include Jürgen Peissig, Yinzhi Cao, Michael R. Lyu, Lei Jiao, Yangfan Zhou, Xin Wang, Jinguang Han, Fei Fang, Shengli Wang and Xiaoheng Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and PLoS Medicine.

In The Last Decade

Song Li

42 papers receiving 319 citations

Peers

Song Li
Comparison fields: 5 of 86
  • Information Systems 133
  • Artificial Intelligence 109
  • Signal Processing 91
  • Computer Networks and Communications 71
  • Cognitive Neuroscience 30
Replace Pierre Parrend with:
Pierre Parrend France
Xintao Ding China
Yousef B. Mahdy Egypt
Sanjay K. Sahay India
Nicholas Trân United States
Andrea De Lorenzo Italy
Jinquan Zeng China
Xueqin Zhang China
Pierre Parrend France View profile →
Citations per field, relative to Song Li
Song Li · 1×
Citations per year, relative to Song Li
Song Li · 1×

Countries citing papers authored by Song Li

Since Specialization
Citations

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

Fields of papers citing papers by Song Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Li

This figure shows the co-authorship network connecting the top 25 collaborators of Song Li. A scholar is included among the top collaborators of Song 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 Song Li. Song 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
# Work Indexed citations
1 0
2 1
3 2
4 1
5 6
6 1
7 4
8 4
9 36
10 7
11
Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus
2
12 4
13 20
14 42
15 11
16 1
17 4
18 0
19 3
20 6

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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