Longjiang Qu
- Artificial Intelligence top 1%
- Coding theory and cryptography 92
- Cryptographic Implementations and Security 47
- Cryptography and Data Security 10
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- graph theory and CDMA systems 66
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- Cellular Automata and Applications 9
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- Wireless Communication Networks Research 7
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- Chaos-based Image/Signal Encryption 11
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- Cryptography and Residue Arithmetic 7
- Co-authors
- Kangquan LiChao LiGuangkui XuQiang WangYin TanShaojing FuSihem MesnagerChik How Tan
- Cited by
- Discrete Mathematics and CombinatoricsArtificial IntelligenceElectrical and Electronic Engineering
In The Last Decade
Longjiang Qu
93 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 32
- Discrete Mathematics and Combinatorics 147
- Artificial Intelligence 1000
- Electrical and Electronic Engineering 679
- Computational Theory and Mathematics 166
- Computer Networks and Communications 109
Countries citing papers authored by Longjiang Qu
This map shows the geographic impact of Longjiang Qu'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 Longjiang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longjiang Qu more than expected).
Fields of papers citing papers by Longjiang Qu
This network shows the impact of papers produced by Longjiang Qu. 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 Longjiang Qu. The network helps show where Longjiang Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Longjiang Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 0 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 74 | |
| 19 | 2014 | 20 | |
| 20 | 2012 | 6 |
About Longjiang Qu
Longjiang Qu is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 105 papers that have together received 1.0k indexed citations. Recurring topics across this work include Coding theory and cryptography (92 papers), graph theory and CDMA systems (66 papers), Cryptographic Implementations and Security (47 papers), Chaos-based Image/Signal Encryption (11 papers), Cryptography and Data Security (10 papers), Cellular Automata and Applications (9 papers), Cryptography and Residue Arithmetic (7 papers) and Wireless Communication Networks Research (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (147 citations), Artificial Intelligence (1000 citations), Electrical and Electronic Engineering (679 citations), Computational Theory and Mathematics (166 citations) and Computer Networks and Communications (109 citations). Longjiang Qu has collaborated with scholars based in China, Singapore and Norway. Frequent co-authors include Kangquan Li, Chao Li, Chao Li, Guangkui Xu, Qiang Wang, Yin Tan, Shaojing Fu, Sihem Mesnager, Chik How Tan and Cunsheng Ding. Their work appears in journals such as IEEE Transactions on Information Theory, Finite Fields and Their Applications, Advances in Mathematics of Communications, Science China Information Sciences and Cryptography and Communications.
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.