Kun Guo
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Text and Document Classification Technologies
- Advanced Clustering Algorithms Research
- Topic Modeling
Papers in
-
- Advanced Graph Neural Networks 12
- Topic Modeling 9
- Privacy-Preserving Technologies in Data 6
- Text and Document Classification Technologies 5
- Advanced Clustering Algorithms Research 4
- Advanced Text Analysis Techniques 3
-
- Complex Network Analysis Techniques 22
- Opinion Dynamics and Social Influence 11
- Co-authors
- Zhang Qishan (9 shared papers)Yuzhong Chen (13 shared papers)Wenzhong Guo (12 shared papers)Ling Wu (9 shared papers)Kai Chen (4 shared papers)Chi‐Hua Chen (1 shared paper)Deqin Wang (1 shared paper)Limin Jia (1 shared paper)
- Journals
- Applied Intelligence (11 papers)IEEE Access (2 papers)IEEE Transactions on Computational Social Systems (2 papers)Information Sciences (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kun Guo
64 papers receiving 746 citations
Peers
Comparison fields: 5 of 132
- Statistical and Nonlinear Physics 224
- Artificial Intelligence 300
- Computer Networks and Communications 127
- Information Systems 83
- Computer Science Applications 20
Countries citing papers authored by Kun Guo
This map shows the geographic impact of Kun Guo'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 Kun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Guo more than expected).
Fields of papers citing papers by Kun Guo
This network shows the impact of papers produced by Kun Guo. 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 Kun Guo. The network helps show where Kun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2020 | 61 | |
| 3 | 2015 | 58 | |
| 4 | 2013 | 51 | |
| 5 | 2019 | 40 | |
| 6 | 2014 | 36 | |
| 7 | 2023 | 35 | |
| 8 | 2021 | 33 | |
| 9 | 2016 | 32 | |
| 10 | 2024 | 27 | |
| 11 | 2022 | 27 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2010 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2015 | 8 |
About Kun Guo
Kun Guo is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Networks and Communications and Molecular Biology, having authored 74 papers that have together received 777 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Advanced Graph Neural Networks (12 papers), Opinion Dynamics and Social Influence (11 papers), Topic Modeling (9 papers), Privacy-Preserving Technologies in Data (6 papers), Text and Document Classification Technologies (5 papers), Advanced Clustering Algorithms Research (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (224 citations), Artificial Intelligence (300 citations), Computer Networks and Communications (127 citations), Information Systems (83 citations) and Computer Science Applications (20 citations). Kun Guo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhang Qishan, Yuzhong Chen, Wenzhong Guo, Ling Wu, Kai Chen, Chi‐Hua Chen, Deqin Wang, Limin Jia, Sheng Wu and Xiukun Wei. Their work appears in journals such as Applied Intelligence, IEEE Access, IEEE Transactions on Computational Social Systems, Information Sciences and International Journal of Surgery.
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.