Shenghong Li

2.7k total citations
170 papers, 1.6k citations indexed

About

Shenghong Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Shenghong Li has authored 170 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 51 papers in Artificial Intelligence and 47 papers in Statistical and Nonlinear Physics. Recurrent topics in Shenghong Li's work include Optimization and Search Problems (25 papers), stochastic dynamics and bifurcation (24 papers) and Complex Network Analysis Techniques (23 papers). Shenghong Li is often cited by papers focused on Optimization and Search Problems (25 papers), stochastic dynamics and bifurcation (24 papers) and Complex Network Analysis Techniques (23 papers). Shenghong Li collaborates with scholars based in China, Singapore and United States. Shenghong Li's co-authors include Shilin Wang, Jianhua Li, Feng Jin, Kangkang Wang, Wen Jiang, Chenglin Zhao, Xudong Zhao, Yujin Zhang, Bin Li and Gaolei Li and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Shenghong Li

155 papers receiving 1.5k citations

Peers

Shenghong Li
Comparison fields: 5 of 113
  • Artificial Intelligence 461
  • Computer Networks and Communications 443
  • Computer Vision and Pattern Recognition 390
  • Statistical and Nonlinear Physics 348
  • Electrical and Electronic Engineering 326
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Citations per field, relative to Shenghong Li
Shenghong Li · 1×
Citations per year, relative to Shenghong Li
Shenghong Li · 1×

Countries citing papers authored by Shenghong Li

Since Specialization
Citations

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

Fields of papers citing papers by Shenghong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shenghong Li. A scholar is included among the top collaborators of Shenghong 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 Shenghong Li. Shenghong 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 2
3 0
4 0
5 5
6 2
7 8
8 2
9 11
10 1
11 10
12 9
13 20
14 52
15 9
16
A Novel Information Diffusion Model based on Microblog Network
1
17
A POCS Algorithm for Super-resolution Image Reconstruction Based on Edge Maintenance
1
18 6
19
New Scheme for the Injection of Trojan Horse Based on DLL
1
20 13

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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