Zhigang Kan

607 total citations
24 papers, 324 citations indexed

About

Zhigang Kan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Zhigang Kan has authored 24 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in Zhigang Kan's work include Topic Modeling (8 papers), Advanced Text Analysis Techniques (5 papers) and Mobile Agent-Based Network Management (4 papers). Zhigang Kan is often cited by papers focused on Topic Modeling (8 papers), Advanced Text Analysis Techniques (5 papers) and Mobile Agent-Based Network Management (4 papers). Zhigang Kan collaborates with scholars based in China and Finland. Zhigang Kan's co-authors include Linbo Qiao, Dongsheng Li, Sen Yang, Dawei Feng, Songlei Jian, Jian Ma, Dongmei Zhang, Yi Han, Runtong Zhang and Jianping Hu and has published in prestigious journals such as IEEE Access, Information Sciences and Neural Networks.

In The Last Decade

Zhigang Kan

23 papers receiving 307 citations

Peers

Zhigang Kan
Comparison fields: 5 of 38
  • Artificial Intelligence 252
  • Information Systems 84
  • Computer Networks and Communications 44
  • Management Science and Operations Research 36
  • Sociology and Political Science 34
Replace Xinyi Li with:
Xinyi Li China
Raghav Bhaskar United States
Marcel Keller Australia
Prafulla Kumar Choubey United States
Mayank Varia United States
Shaozhi Ye United States
Nima Taghipour Belgium
Fethi Fkih Tunisia
Tommaso Soru Germany
Jörg Diederich Germany
Xinyi Li China View profile →
Citations per field, relative to Zhigang Kan
Zhigang Kan · 1×
Citations per year, relative to Zhigang Kan
Zhigang Kan · 1×

Countries citing papers authored by Zhigang Kan

Since Specialization
Citations

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

Fields of papers citing papers by Zhigang Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhigang Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhigang Kan. A scholar is included among the top collaborators of Zhigang Kan 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 Zhigang Kan. Zhigang Kan 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 6
2 2
3 1
4 0
5 7
6 1
7 5
8 35
9 12
10 2
11 5
12 5
13 3
14 1
15 199
16 1
17 2
18 16
19 1
20 2

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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