Yun Fan
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Discrete Mathematics and Combinatorics top 5%
- Topics
- Coding theory and cryptography (35 papers)Finite Group Theory Research (31 papers)graph theory and CDMA systems (28 papers)
- Cited by
- Discrete Mathematics and CombinatoricsArtificial IntelligenceComputational Theory and Mathematics
- Journals
- IEEE Transactions on Information TheoryInternational Journal of Remote SensingArtificial Intelligence
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yun Fan
56 papers receiving 529 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 403
- Electrical and Electronic Engineering 211
- Computational Theory and Mathematics 193
- Computer Networks and Communications 154
- Discrete Mathematics and Combinatorics 132
Countries citing papers authored by Yun Fan
This map shows the geographic impact of Yun Fan'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 Yun Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Fan more than expected).
Fields of papers citing papers by Yun Fan
This network shows the impact of papers produced by Yun Fan. 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 Yun Fan. The network helps show where Yun Fan may publish in the future.
Co-authorship network of co-authors of Yun Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Fan. A scholar is included among the top collaborators of Yun Fan 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 Yun Fan. Yun Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Z 2 Z 4 -Additive Cyclic Codes Are Asymptotically Good. | 1 |
| 3 | 9 | |
| 4 | 49 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 73 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | On the Uniformity of U~* Uniform Designs | 2 |
| 16 | 0 | |
| 17 | 3 | |
| 18 | Twisted Y-group algebras of finite groups | 1 |
| 19 | 3 | |
| 20 | 2 |
About Yun Fan
Yun Fan is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 66 papers that have together received 553 indexed citations. Recurring topics across this work include Coding theory and cryptography (35 papers), Finite Group Theory Research (31 papers) and graph theory and CDMA systems (28 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (132 citations), Artificial Intelligence (403 citations) and Computational Theory and Mathematics (193 citations). Yun Fan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hualu Liu, Hongwei Liu, Bocong Chen, San Ling, Xiusheng Liu, Jing Shen, Bangteng Xu, Lluís Puig, Peng Yan and Hai Q. Dinh. Their work appears in journals such as IEEE Transactions on Information Theory, International Journal of Remote Sensing and Artificial Intelligence.
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.