Juane Li
Impact in
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- Error Correcting Code Techniques
- Advanced Data Storage Technologies
- Artificial Intelligence top 10%
- Coding theory and cryptography
Papers in
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- Error Correcting Code Techniques 26
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- Coding theory and cryptography 8
- Co-authors
- Shu Lin (26 shared papers)Khaled Abdel-Ghaffar (20 shared papers)Keke Liu (15 shared papers)W.E. Ryan (4 shared papers)Daniel J. Costello (3 shared papers)Ian F. Blake (1 shared paper)Xin Wei Xiao (2 shared papers)Bane V. Vasic (1 shared paper)
- Journals
- IEEE Transactions on Communications (3 papers)IEEE Transactions on Information Theory (3 papers)International Symposium on Information Theory and its Applications (1 paper)IEEE International Symposium on Information Theory (ISIT) (5 papers)Globecom (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Juane Li
24 papers receiving 422 citations
Peers
Comparison fields: 5 of 16
- Computer Networks and Communications 381
- Artificial Intelligence 88
- Signal Processing 5
- Electrical and Electronic Engineering 29
- Computational Theory and Mathematics 4
Countries citing papers authored by Juane Li
This map shows the geographic impact of Juane Li'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 Juane Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juane Li more than expected).
Fields of papers citing papers by Juane Li
This network shows the impact of papers produced by Juane Li. 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 Juane Li. The network helps show where Juane Li may publish in the future.
Co-authors
The 8 scholars most cited alongside Juane Li, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 117 | |
| 2 | 2016 | 55 | |
| 3 | 2015 | 31 | |
| 4 | 2015 | 29 | |
| 5 | 2016 | 28 | |
| 6 | 2014 | 23 | |
| 7 | 2015 | 18 | |
| 8 | 2017 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 15 | |
| 12 | 2020 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2016 | 9 | |
| 15 | 2014 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2014 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2014 | 2 |
About Juane Li
Juane Li is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 26 papers that have together received 436 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (26 papers), Coding theory and cryptography (8 papers), Graph Theory and Algorithms (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Computer Networks and Communications (381 citations), Artificial Intelligence (88 citations), Signal Processing (5 citations), Electrical and Electronic Engineering (29 citations) and Computational Theory and Mathematics (4 citations). Juane Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shu Lin, Khaled Abdel-Ghaffar, Keke Liu, W.E. Ryan, Daniel J. Costello, Ian F. Blake, Xin Wei Xiao and Bane V. Vasic. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, International Symposium on Information Theory and its Applications, IEEE International Symposium on Information Theory (ISIT) and Globecom.
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.