Ke Yi
Impact in
- Signal Processing top 0.2%
- Data Management and Algorithms
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries
Papers in
-
- Data Management and Algorithms 71
-
- Advanced Database Systems and Queries 53
- Optimization and Search Problems 15
- Co-authors
- Li Fei-Fei (20 shared papers)Graham Cormode (17 shared papers)Qin Zhang (17 shared papers)Yufei Tao (9 shared papers)Lars Arge (13 shared papers)Pankaj K. Agarwal (11 shared papers)Cheng Sheng (3 shared papers)Panos Kalnis (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (10 papers)ACM Transactions on Database Systems (8 papers)ACM Transactions on Algorithms (7 papers)ACM SIGMOD Record (6 papers)Algorithmica (5 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Ke Yi
187 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 112
- Signal Processing 2.0k
- Computer Networks and Communications 2.1k
- Computer Graphics and Computer-Aided Design 213
- Artificial Intelligence 1.9k
- Computer Vision and Pattern Recognition 718
Countries citing papers authored by Ke Yi
This map shows the geographic impact of Ke Yi'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 Ke Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yi more than expected).
Fields of papers citing papers by Ke Yi
This network shows the impact of papers produced by Ke Yi. 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 Ke Yi. The network helps show where Ke Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Yi, 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 185 | |
| 2 | An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams | 2006 | 152 |
| 3 | 2009 | 143 | |
| 4 | 2008 | 141 | |
| 5 | 2010 | 125 | |
| 6 | 2008 | 113 | |
| 7 | 2016 | 107 | |
| 8 | 2011 | 100 | |
| 9 | 2010 | 93 | |
| 10 | 2013 | 91 | |
| 11 | 2008 | 89 | |
| 12 | 2008 | 86 | |
| 13 | 2004 | 77 | |
| 14 | 2008 | 77 | |
| 15 | 2018 | 75 | |
| 16 | 2013 | 71 | |
| 17 | 2012 | 69 | |
| 18 | 2009 | 68 | |
| 19 | 2004 | 67 | |
| 20 | 2015 | 62 |
About Ke Yi
Ke Yi is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 200 papers that have together received 4.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (71 papers), Advanced Database Systems and Queries (53 papers), Cryptography and Data Security (35 papers), Algorithms and Data Compression (35 papers), Privacy-Preserving Technologies in Data (31 papers), Complexity and Algorithms in Graphs (19 papers), Computational Geometry and Mesh Generation (15 papers) and Optimization and Search Problems (15 papers). The work is most often cited by research in Signal Processing (2.0k citations), Computer Networks and Communications (2.1k citations), Computer Graphics and Computer-Aided Design (213 citations), Artificial Intelligence (1.9k citations) and Computer Vision and Pattern Recognition (718 citations). Ke Yi has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Li Fei-Fei, Graham Cormode, Qin Zhang, Yufei Tao, Lars Arge, Pankaj K. Agarwal, Cheng Sheng, Panos Kalnis, George Kollios and Zengfeng Huang. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, ACM Transactions on Algorithms, ACM SIGMOD Record and Algorithmica.
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.