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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- Finite Group Theory Research 13
- Co-authors
- Hai Jin (14 shared papers)Jiang Xiao (1 shared paper)Song Wu (1 shared paper)Roman Nedela (7 shared papers)Ran Zheng (2 shared papers)Xiaowen Feng (1 shared paper)Yu Zhang (2 shared papers)Xiaofei Liao (3 shared papers)
- Journals
- Ars Mathematica Contemporanea (4 papers)Journal of Group Theory (2 papers)Journal of Algebraic Combinatorics (2 papers)Future Generation Computer Systems (2 papers)Anti-Cancer Drugs (1 paper)
- Partner nations
- ChinaSlovakiaSouth Korea
In The Last Decade
Kan Hu
35 papers receiving 301 citations
Peers
Comparison fields: 5 of 61
- Discrete Mathematics and Combinatorics 45
- Hardware and Architecture 77
- Computer Networks and Communications 150
- Information Systems 94
- 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 63 | |
| 2 | 2011 | 36 | |
| 3 | 2021 | 25 | |
| 4 | 2013 | 23 | |
| 5 | 2016 | 20 | |
| 6 | 2018 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2010 | 10 | |
| 9 | 2011 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2000 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2020 | 5 |
About Kan Hu
Kan Hu is a scholar working on Computer Networks and Communications, Discrete Mathematics and Combinatorics, Information Systems, Electrical and Electronic Engineering and Hardware and Architecture, having authored 40 papers that have together received 314 indexed citations. Recurring topics across this work include Finite Group Theory Research (13 papers), Cloud Computing and Resource Management (11 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 (77 citations), Computer Networks and Communications (150 citations), Information Systems (94 citations) and Algebra and Number Theory (18 citations). Kan Hu has collaborated with scholars based in China, Slovakia and South Korea. Frequent co-authors include Hai Jin, Jiang Xiao, Song Wu, Roman Nedela, Ran Zheng, Xiaowen Feng, Yu Zhang, Xiaofei Liao, Shaofei Du and Haikun Liu. Their work appears in journals such as Ars Mathematica Contemporanea, Journal of Group Theory, Journal of Algebraic Combinatorics, Future Generation Computer Systems and Anti-Cancer Drugs.
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.