Kan Hu
Impact in
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- Finite Group Theory Research
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 6
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- Cloud Computing and Resource Management 12
- Co-authors
- Hai Jin (15 shared papers)Song Wu (1 shared paper)Jiang Xiao (1 shared paper)Huacai Chen (6 shared papers)Ran Zheng (2 shared papers)Roman Nedela (7 shared papers)Xiaowen Feng (1 shared paper)Xiaofei Liao (3 shared papers)
- Journals
- Ars Mathematica Contemporanea (4 papers)Journal of Algebraic Combinatorics (2 papers)Journal of Group Theory (2 papers)Future Generation Computer Systems (2 papers)Software Practice and Experience (1 paper)
- Partner nations
- ChinaSouth KoreaSlovakia
In The Last Decade
Kan Hu
38 papers receiving 341 citations
Peers
Comparison fields: 5 of 61
- Discrete Mathematics and Combinatorics 45
- Hardware and Architecture 88
- Computer Networks and Communications 173
- Information Systems 113
- Algebra and Number Theory 18
Countries citing papers authored by Kan Hu
This map shows the geographic impact of Kan Hu'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 Kan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Hu more than expected).
Fields of papers citing papers by Kan Hu
This network shows the impact of papers produced by Kan Hu. 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 Kan Hu. The network helps show where Kan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Hu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2011 | 40 | |
| 3 | 2021 | 26 | |
| 4 | 2013 | 26 | |
| 5 | 2016 | 23 | |
| 6 | 2018 | 14 | |
| 7 | 2010 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2011 | 11 | |
| 10 | 2000 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2024 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2010 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2020 | 5 |
About Kan Hu
Kan Hu is a scholar working on Computer Networks and Communications, Information Systems, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Hardware and Architecture, having authored 43 papers that have together received 354 indexed citations. Recurring topics across this work include Finite Group Theory Research (13 papers), Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (10 papers), graph theory and CDMA systems (8 papers), Distributed and Parallel Computing Systems (6 papers), Algebraic Geometry and Number Theory (4 papers), Rings, Modules, and Algebras (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (45 citations), Hardware and Architecture (88 citations), Computer Networks and Communications (173 citations), Information Systems (113 citations) and Algebra and Number Theory (18 citations). Kan Hu has collaborated with scholars based in China, South Korea and Slovakia. Frequent co-authors include Hai Jin, Song Wu, Jiang Xiao, Huacai Chen, Ran Zheng, Roman Nedela, Xiaowen Feng, Xiaofei Liao, Yu Zhang and Wei Hu. Their work appears in journals such as Ars Mathematica Contemporanea, Journal of Algebraic Combinatorics, Journal of Group Theory, Future Generation Computer Systems and Software Practice and Experience.
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.