Min Ye
Impact in
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Error Correcting Code Techniques
- Cooperative Communication and Network Coding
- Distributed systems and fault tolerance
- Development top 5%
Papers in
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- Error Correcting Code Techniques 17
- Advanced Data Storage Technologies 12
- Caching and Content Delivery 9
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- Coding theory and cryptography 9
- Co-authors
- Alexander Barg (15 shared papers)Emmanuel Abbé (8 shared papers)Kent E. Calder (2 shared papers)S.C. Wong (1 shared paper)Hai Yang (1 shared paper)Uk Heo (3 shared papers)Itzhak Tamo (2 shared papers)Quan Li (2 shared papers)
- Journals
- IEEE Transactions on Information Theory (16 papers)Journal of East Asian Studies (2 papers)Electronic Journal of Statistics (1 paper)The Washington Quarterly (1 paper)The Chinese Journal of International Politics (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Min Ye
59 papers receiving 944 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 610
- Development 44
- Artificial Intelligence 342
- Computational Theory and Mathematics 159
- Transportation 62
Countries citing papers authored by Min Ye
This map shows the geographic impact of Min Ye'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 Min Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ye more than expected).
Fields of papers citing papers by Min Ye
This network shows the impact of papers produced by Min Ye. 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 Min Ye. The network helps show where Min Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Ye, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2017 | 115 | |
| 3 | 2018 | 78 | |
| 4 | 2005 | 73 | |
| 5 | Communication-Computation Efficient Gradient Coding | 2018 | 48 |
| 6 | 2020 | 44 | |
| 7 | Clay codes: moulding MDS codes to yield an MSR code | 2018 | 43 |
| 8 | 2004 | 42 | |
| 9 | 2020 | 38 | |
| 10 | 2018 | 34 | |
| 11 | 2016 | 32 | |
| 12 | 2018 | 32 | |
| 13 | 2020 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2021 | 14 | |
| 18 | 2017 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2016 | 9 |
About Min Ye
Min Ye is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Political Science and International Relations and Molecular Biology, having authored 64 papers that have together received 992 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (17 papers), Advanced Data Storage Technologies (12 papers), Advanced Wireless Communication Techniques (10 papers), DNA and Biological Computing (10 papers), Coding theory and cryptography (9 papers), Caching and Content Delivery (9 papers), Cellular Automata and Applications (7 papers) and International Development and Aid (6 papers). The work is most often cited by research in Computer Networks and Communications (610 citations), Development (44 citations), Artificial Intelligence (342 citations), Computational Theory and Mathematics (159 citations) and Transportation (62 citations). Min Ye has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Alexander Barg, Emmanuel Abbé, Kent E. Calder, S.C. Wong, Hai Yang, Uk Heo, Itzhak Tamo, Quan Li, Shale Horowitz and Venkatesan Guruswami. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of East Asian Studies, Electronic Journal of Statistics, The Washington Quarterly and The Chinese Journal of International Politics.
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.