Song-Sui Li

1.0k total citations
46 papers, 748 citations indexed

About

Song-Sui Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Song-Sui Li has authored 46 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 27 papers in Electrical and Electronic Engineering and 22 papers in Computer Networks and Communications. Recurrent topics in Song-Sui Li's work include Neural Networks and Reservoir Computing (27 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Optical Network Technologies (15 papers). Song-Sui Li is often cited by papers focused on Neural Networks and Reservoir Computing (27 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Optical Network Technologies (15 papers). Song-Sui Li collaborates with scholars based in China, Hong Kong and United Kingdom. Song-Sui Li's co-authors include Sze-Chun Chan, Xiaozhou Li, Lianshan Yan, Jun-Ping Zhuang, Anbang Wang, Qing Liu, Yuncai Wang, Longsheng Wang, Xihua Zou and Longsheng Wang and has published in prestigious journals such as Optics Letters, Optics Express and Chaos Solitons & Fractals.

In The Last Decade

Song-Sui Li

37 papers receiving 632 citations

Peers

Song-Sui Li
Comparison fields: 5 of 34
  • Electrical and Electronic Engineering 415
  • Statistical and Nonlinear Physics 355
  • Computer Networks and Communications 321
  • Artificial Intelligence 288
  • Atomic and Molecular Physics, and Optics 196
Replace Chenpeng Xue with:
Chenpeng Xue China
Anke Zhao China
Hiroyuki Someya Japan
Kazuya Amano Japan
Junxiang Ke China
Isao Oowada Japan
Zhuqiang Zhong China
Yanhua Hong United Kingdom
I. Reidler Israel
David W. Sukow United States
Chenpeng Xue China View profile →
Citations per field, relative to Song-Sui Li
Song-Sui Li · 1×
Citations per year, relative to Song-Sui Li
Song-Sui Li · 1×

Countries citing papers authored by Song-Sui Li

Since Specialization
Citations

This map shows the geographic impact of Song-Sui 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-Sui 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-Sui Li more than expected).

Fields of papers citing papers by Song-Sui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song-Sui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Song-Sui Li. A scholar is included among the top collaborators of Song-Sui 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-Sui Li. Song-Sui 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 0
3 0
4 1
5 8
6 1
7 1
8 3
9 12
10 0
11 6
12 37
13 8
14 11
15 9
16 16
17 7
18 11
19 34
20 0

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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