Ke Yi
- Signal Processing top 0.2%
- Data Management and Algorithms 66
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries 51
- Optimization and Search Problems 13
- Artificial Intelligence top 0.5%
- Cryptography and Data Security 32
- Algorithms and Data Compression 29
- Privacy-Preserving Technologies in Data 27
- Data Stream Mining Techniques 13
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- Complexity and Algorithms in Graphs 18
- Co-authors
- Li Fei-FeiGraham CormodeQin ZhangYufei TaoLars ArgePankaj K. AgarwalCheng ShengPanos Kalnis
- Journals
- Proceedings of the VLDB Endowment (10 papers)ACM Transactions on Database Systems (8 papers)ACM Transactions on Algorithms (7 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Ke Yi
169 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 103
- Signal Processing 1.7k
- Computer Networks and Communications 1.8k
- Artificial Intelligence 1.5k
- Computer Graphics and Computer-Aided Design 140
- Computer Vision and Pattern Recognition 619
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 26 | |
| 9 | Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation | 2019 | 6 |
| 10 | 2019 | 12 | |
| 11 | 2015 | 13 | |
| 12 | Large-Scale Distributed Computation (NII Shonan Meeting 2012-1). | 2012 | 1 |
| 13 | 2012 | 2 | |
| 14 | Research Advance in Effects of Climatic Factors on Chemical Composition of Flue-cured Tobacco | 2011 | 1 |
| 15 | 2010 | 5 | |
| 16 | 2010 | 3 | |
| 17 | 2009 | 16 | |
| 18 | Dynamic structures for top-k queries on uncertain data | 2007 | 4 |
| 19 | 2005 | 15 | |
| 20 | Bark Wavelet Transform of Speech and Its Application in Speech Recognition | 2000 | 6 |
About Ke Yi
Ke Yi is a scholar working on Signal Processing, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computational Theory and Mathematics, having authored 182 papers that have together received 3.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (66 papers), Advanced Database Systems and Queries (51 papers), Cryptography and Data Security (32 papers), Algorithms and Data Compression (29 papers), Privacy-Preserving Technologies in Data (27 papers), Complexity and Algorithms in Graphs (18 papers), Optimization and Search Problems (13 papers) and Data Stream Mining Techniques (13 papers). The work is most often cited by research in Signal Processing (1.7k citations), Computer Networks and Communications (1.8k citations), Artificial Intelligence (1.5k citations), Computer Graphics and Computer-Aided Design (140 citations) and Computer Vision and Pattern Recognition (619 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, Algorithmica and ACM SIGMOD Record.
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.