Hongwei Liu

56 papers receiving 539 citations

Peers

Hongwei Liu
Comparison fields: 5 of 54
  • Artificial Intelligence 427
  • Electrical and Electronic Engineering 263
  • Computer Networks and Communications 208
  • Computational Theory and Mathematics 161
  • Discrete Mathematics and Combinatorics 81
Replace Stefan Schirra with:
Stefan Schirra Germany
Bartolomeu F. Uchôa-Filho Brazil
Hamzeh Beyranvand Iran
P.C. Breedveld Netherlands
Qiaoliang Li China
Yubo Li China
Jang‐Hyun Park South Korea
Hongwei Liu relative to Stefan Schirra Germany Stefan Schirra's profile →
Citations per field
00.5×9.9×
Stefan Schirra · 1×
Citations per year

Countries citing papers authored by Hongwei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Liu. A scholar is included among the top collaborators of Hongwei Liu 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 Hongwei Liu. Hongwei Liu 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
#WorkIndexed citations
1 0
2 5
3 0
4 1
5 7
6 3
7 3
8 8
9 24
10
New Parameters on MDS Self-dual Codes over Finite Fields.
1
11 5
12 8
13 2
14 7
15 13
16
Jacobi Forms and Hilbert-Siegel Modular Forms over Totally Real Fields and Self-Dual Codes over Polynomial Rings Z 2m [x] / .
1
17 73
18 6
19
Linear Codes over Finite Chain Rings.
1
20
Research on the Resonant Booster of Ultrasonic Motor Driving
0

About Hongwei Liu

Hongwei Liu is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Computer Networks and Communications, having authored 66 papers that have together received 557 indexed citations. Recurring topics across this work include Coding theory and cryptography (40 papers), graph theory and CDMA systems (26 papers) and Cooperative Communication and Network Coding (16 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (81 citations), Artificial Intelligence (427 citations) and Computational Theory and Mathematics (161 citations). Hongwei Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Bocong Chen, Yun Fan, San Ling, Jinquan Luo, Yun Li, Steven T. Dougherty, Hai Q. Dinh, Songsak Sriboonchitta, Yongsheng Zhang and Liang Chu. Their work appears in journals such as IEEE Transactions on Information Theory, The Journal of the Acoustical Society of America and Applied Sciences.

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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