Shijin Kong

423 citations
6 papers · 310 indexed · h-index 4
Topics
Network Packet Processing and Optimization (6 papers)Network Security and Intrusion Detection (6 papers)Internet Traffic Analysis and Secure E-voting (4 papers)
Journals
ACM SIGCOMM Computer Communication Review2006 IEEE International Conference on Communications
Partner nations
United StatesChina

In The Last Decade

Shijin Kong

5 papers receiving 301 citations

Peers

Shijin Kong
Comparison fields: 5 of 14
  • Hardware and Architecture 264
  • Computer Networks and Communications 238
  • Artificial Intelligence 236
  • Molecular Biology 32
  • Computational Theory and Mathematics 20
Replace Yi-Hua E. Yang with:
Yi-Hua E. Yang United States
Reetinder Sidhu United States
Fabio Vitucci Italy
Florin Baboescu United States
Ben Lippmeier Australia
Anthony Fox United Kingdom
Evan Rosser United States
Aleksandar Prokopec Switzerland
Jan Edler United States
Sun Chan United States
Shijin Kong relative to Yi-Hua E. Yang United States Yi-Hua E. Yang's profile →
Citations per field
00.5×1.5×
Yi-Hua E. Yang · 1×
Citations per year

Countries citing papers authored by Shijin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Shijin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijin Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Shijin Kong. A scholar is included among the top collaborators of Shijin Kong 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 Shijin Kong. Shijin Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 158
2 39
3 104
4 1
5 1
6 7

About Shijin Kong

Shijin Kong is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 6 papers that have together received 310 indexed citations. Recurring topics across this work include Network Packet Processing and Optimization (6 papers), Network Security and Intrusion Detection (6 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Hardware and Architecture (264 citations), Computer Networks and Communications (238 citations) and Artificial Intelligence (236 citations). Shijin Kong has collaborated with scholars based in United States and China. Frequent co-authors include Randy Smith, Cristian Estan, Somesh Jha, Tao He and Xing Li. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and 2006 IEEE International Conference on Communications.

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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