Fay W. Chang
- Computer Networks and Communications top 0.2%
- Information Systems top 0.1%
- Artificial Intelligence top 2%
- Hardware and Architecture top 1%
- Signal Processing top 2%
- Co-authors
- Wilson C. HsiehTushar ChandraSanjay GhemawatAndrew FikesJay B. DeanDeborah A. WallachRobert GruberMike Burrows
- Topics
- Advanced Data Storage Technologies (17 papers)Peer-to-Peer Network Technologies (8 papers)Caching and Content Delivery (8 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Fay W. Chang
17 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 3.6k
- Information Systems 2.4k
- Artificial Intelligence 554
- Hardware and Architecture 537
- Signal Processing 426
Countries citing papers authored by Fay W. Chang
This map shows the geographic impact of Fay W. Chang'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 Fay W. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fay W. Chang more than expected).
Fields of papers citing papers by Fay W. Chang
This network shows the impact of papers produced by Fay W. Chang. 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 Fay W. Chang. The network helps show where Fay W. Chang may publish in the future.
Co-authorship network of co-authors of Fay W. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Fay W. Chang. A scholar is included among the top collaborators of Fay W. Chang 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 Fay W. Chang. Fay W. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Bigtablebreakdown → | 2111 |
| 5 | Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!). | 30 |
| 6 | Bigtable: a distributed storage system for structured databreakdown → | 1182 |
| 7 | Operating System I/O Speculation: How Two Invocations Are Faster Than One | 35 |
| 8 | Myriad: cost-effective disaster tolerance | 45 |
| 9 | Using speculative execution to automatically hide i/o latency | 12 |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 144 | |
| 13 | 149 | |
| 14 | 13 | |
| 15 | 260 | |
| 16 | Filesystems for Network-Attached Secure Disks, | 41 |
| 17 | 161 | |
| 18 | 20 |
About Fay W. Chang
Fay W. Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Human-Computer Interaction, having authored 18 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Peer-to-Peer Network Technologies (8 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Computer Networks and Communications (3.6k citations), Information Systems (2.4k citations) and Hardware and Architecture (537 citations). Fay W. Chang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Wilson C. Hsieh, Tushar Chandra, Sanjay Ghemawat, Andrew Fikes, Jay B. Dean, Deborah A. Wallach, Robert Gruber, Mike Burrows, Garth A. Gibson and Howard Gobioff. Their work appears in journals such as ACM Transactions on Computer Systems, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.
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.