Ke Shi

1.4k total citations
89 papers, 909 citations indexed

About

Ke Shi is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ke Shi has authored 89 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 17 papers in Control and Systems Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Ke Shi's work include Fractional Differential Equations Solutions (12 papers), Neural Networks Stability and Synchronization (11 papers) and Opportunistic and Delay-Tolerant Networks (10 papers). Ke Shi is often cited by papers focused on Fractional Differential Equations Solutions (12 papers), Neural Networks Stability and Synchronization (11 papers) and Opportunistic and Delay-Tolerant Networks (10 papers). Ke Shi collaborates with scholars based in China, Singapore and Hong Kong. Ke Shi's co-authors include Wei Chen, Victor A. Levin, Raymond J.A. Budde, Chaoyang Dong, Azhar Mahmood, Shaheen Khatoon, Hongsheng Chen, Mi Xiao, Lin Yao and Shujie Yang and has published in prestigious journals such as Nature Communications, Scientific Reports and IEEE Access.

In The Last Decade

Ke Shi

82 papers receiving 871 citations

Peers

Ke Shi
Comparison fields: 5 of 125
  • Computer Networks and Communications 218
  • Control and Systems Engineering 216
  • Artificial Intelligence 192
  • Electrical and Electronic Engineering 149
  • Signal Processing 110
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Citations per field, relative to Ke Shi
Ke Shi · 1×
Citations per year, relative to Ke Shi
Ke Shi · 1×

Countries citing papers authored by Ke Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ke Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Shi. A scholar is included among the top collaborators of Ke Shi 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 Ke Shi. Ke Shi 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 0
4 2
5 3
6 4
7 8
8 10
9 140
10
Computer-Assisted Language Learning System: Automatic Speech Evaluation for Children Learning Malay and Tamil.
3
11 1
12 3
13 54
14 8
15
TinyMQ: A Content-based Publish/Subscribe Middleware for Wireless Sensor Networks
10
16 14
17 10
18 4
19
APPLICATION OF WAVELET TRANSFORM TO ACOUSTIC EMISSION TESTING
5
20
ON THE SUM OF EACH DIGIT'S SQUARE OF INTEGER
5

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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