Feifei Li
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed systems and fault tolerance
Papers in
-
- Advanced Data Storage Technologies 32
- Advanced Database Systems and Queries 30
- Distributed systems and fault tolerance 25
- Caching and Content Delivery 14
-
- Cloud Computing and Resource Management 45
- Co-authors
- Dong Xie (10 shared papers)Bin Yao (7 shared papers)Jeff M. Phillips (6 shared papers)Ke Yi (9 shared papers)Zhe Xu (3 shared papers)Minyi Guo (2 shared papers)Gefei Li (2 shared papers)George Kollios (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (31 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)The VLDB Journal (4 papers)ACM Transactions on Database Systems (2 papers)Computers & Industrial Engineering (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feifei Li
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 94
- Signal Processing 778
- Computer Networks and Communications 1.4k
- Information Systems 936
- Hardware and Architecture 137
- Artificial Intelligence 639
Countries citing papers authored by Feifei Li
This map shows the geographic impact of Feifei 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 Feifei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Li more than expected).
Fields of papers citing papers by Feifei Li
This network shows the impact of papers produced by Feifei 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 Feifei Li. The network helps show where Feifei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 217 | |
| 2 | 2017 | 111 | |
| 3 | 2019 | 102 | |
| 4 | 2020 | 99 | |
| 5 | 2020 | 90 | |
| 6 | 2008 | 86 | |
| 7 | 2020 | 80 | |
| 8 | 2019 | 79 | |
| 9 | 2020 | 79 | |
| 10 | 2021 | 75 | |
| 11 | 2019 | 62 | |
| 12 | 2019 | 56 | |
| 13 | 2019 | 55 | |
| 14 | 2020 | 46 | |
| 15 | 2020 | 44 | |
| 16 | 2021 | 41 | |
| 17 | 2022 | 40 | |
| 18 | 2018 | 39 | |
| 19 | 2012 | 38 | |
| 20 | 2018 | 33 |
About Feifei Li
Feifei Li is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 139 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (45 papers), Data Management and Algorithms (35 papers), Advanced Data Storage Technologies (32 papers), Advanced Database Systems and Queries (30 papers), Distributed systems and fault tolerance (25 papers), Caching and Content Delivery (14 papers), Cryptography and Data Security (13 papers) and Data Stream Mining Techniques (12 papers). The work is most often cited by research in Signal Processing (778 citations), Computer Networks and Communications (1.4k citations), Information Systems (936 citations), Hardware and Architecture (137 citations) and Artificial Intelligence (639 citations). Feifei Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dong Xie, Bin Yao, Jeff M. Phillips, Ke Yi, Zhe Xu, Minyi Guo, Gefei Li, George Kollios, Liang Yong Zhou and Min Du. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, ACM Transactions on Database Systems and Computers & Industrial Engineering.
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.