Bin Fan
- Computer Networks and Communications top 1%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Co-authors
- Michael KaminskyDavid G. AndersenMichael MitzenmacherHyeontaek LimDah Ming ChiuJohn C. S. LuiDong ZhouGarth A. Gibson
- Topics
- Caching and Content Delivery (17 papers)Peer-to-Peer Network Technologies (11 papers)Advanced Data Storage Technologies (10 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Bin Fan
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Networks and Communications 1.3k
- Information Systems 392
- Artificial Intelligence 300
- Hardware and Architecture 295
- Electrical and Electronic Engineering 120
Countries citing papers authored by Bin Fan
This map shows the geographic impact of Bin Fan'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 Bin Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fan more than expected).
Fields of papers citing papers by Bin Fan
This network shows the impact of papers produced by Bin Fan. 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 Bin Fan. The network helps show where Bin Fan may publish in the future.
Co-authorship network of co-authors of Bin Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Fan. A scholar is included among the top collaborators of Bin Fan 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 Bin Fan. Bin Fan 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 | A Case for Packing and Indexing in Cloud File Systems. | 1 |
| 3 | 108 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 26 | |
| 7 | 5 | |
| 8 | Cuckoo Filterbreakdown → | 444 |
| 9 | Cuckoo Filter: Better Than Bloom. | 5 |
| 10 | Algorithmic engineering towards more efficient key-value systems | 1 |
| 11 | 113 | |
| 12 | 40 | |
| 13 | 103 | |
| 14 | 2 | |
| 15 | 57 | |
| 16 | 92 | |
| 17 | 18 | |
| 18 | 18 | |
| 19 | 66 | |
| 20 | 63 |
About Bin Fan
Bin Fan is a scholar working on Computer Networks and Communications, Developmental Biology and Ecological Modeling, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Caching and Content Delivery (17 papers), Peer-to-Peer Network Technologies (11 papers) and Advanced Data Storage Technologies (10 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Hardware and Architecture (295 citations) and Information Systems (392 citations). Bin Fan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Michael Kaminsky, David G. Andersen, Michael Mitzenmacher, Hyeontaek Lim, Dah Ming Chiu, John C. S. Lui, Dong Zhou, Garth A. Gibson, Wittawat Tantisiriroj and Lin Xiao. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and Forests.
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.