Wai Gen Yee
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Artificial Intelligence
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Shamkant B. NavatheEdward OmiecinskiOphir FriederChris JermaineChristopher JermaineDongmei JiaAndrew YatesShizhu Liu
- Topics
- Peer-to-Peer Network Technologies (18 papers)Caching and Content Delivery (17 papers)Advanced Data Storage Technologies (14 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Wai Gen Yee
40 papers receiving 297 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 245
- Information Systems 89
- Artificial Intelligence 86
- Signal Processing 43
- Electrical and Electronic Engineering 21
Countries citing papers authored by Wai Gen Yee
This map shows the geographic impact of Wai Gen Yee'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 Wai Gen Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Gen Yee more than expected).
Fields of papers citing papers by Wai Gen Yee
This network shows the impact of papers produced by Wai Gen Yee. 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 Wai Gen Yee. The network helps show where Wai Gen Yee may publish in the future.
Co-authorship network of co-authors of Wai Gen Yee
This figure shows the co-authorship network connecting the top 25 collaborators of Wai Gen Yee. A scholar is included among the top collaborators of Wai Gen Yee 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 Wai Gen Yee. Wai Gen Yee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | Automatic Tuning of File Descriptors in P2P File-Sharing Systems | 2 |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 23 | |
| 16 | Efficient Data Allocation For Broadcast Disk Arrays | 10 |
| 17 | 2 | |
| 18 | 4 | |
| 19 | Minimizing Redundant Work in Lazily Updated Replicated Databases | 2 |
| 20 | 4 |
About Wai Gen Yee
Wai Gen Yee is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 41 papers that have together received 324 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (18 papers), Caching and Content Delivery (17 papers) and Advanced Data Storage Technologies (14 papers). The work is most often cited by research in Computer Networks and Communications (245 citations), Signal Processing (43 citations) and Information Systems (89 citations). Wai Gen Yee has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Shamkant B. Navathe, Edward Omiecinski, Ophir Frieder, Chris Jermaine, Christopher Jermaine, Dongmei Jia, Andrew Yates, Shizhu Liu, Denilson Barbosa and Nazli Goharian. Their work appears in journals such as IEEE Transactions on Computers, The VLDB Journal and ACM SIGIR Forum.
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.