Fay W. Chang

6.7k total citations · 2 hit papers
18 papers, 4.2k citations indexed

About

Fay W. Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Fay W. Chang has authored 18 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 1 paper in Information Systems. Recurrent topics in Fay W. Chang's work include Advanced Data Storage Technologies (17 papers), Peer-to-Peer Network Technologies (8 papers) and Caching and Content Delivery (8 papers). Fay W. Chang is often cited by papers focused on Advanced Data Storage Technologies (17 papers), Peer-to-Peer Network Technologies (8 papers) and Caching and Content Delivery (8 papers). Fay W. Chang collaborates with scholars based in United States and United Kingdom. Fay W. Chang's 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 and has published in prestigious journals such as ACM Transactions on Computer Systems, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.

In The Last Decade

Fay W. Chang

17 papers receiving 3.8k citations

Hit Papers

Bigtable 2006 2026 2012 2019 2008 2006 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bigtable
    2008 2.1k citations Fay W. Chang, Jay B. Dean et al. ACM Transactions on Computer Systems profile →
  2. Bigtable: a distributed storage system for structured data
    2006 1.2k citations Fay W. Chang, Jay B. Dean et al. Operating Systems Design and Implementation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fay W. Chang United States 13 3.6k 2.4k 554 537 426 18 4.2k
Robert Gruber United States 16 3.5k 0.9× 2.4k 1.0× 653 1.2× 430 0.8× 442 1.0× 32 4.2k
Mike Burrows United States 8 3.8k 1.0× 2.8k 1.2× 665 1.2× 352 0.7× 439 1.0× 16 4.4k
Howard Gobioff United States 12 5.4k 1.5× 3.5k 1.5× 793 1.4× 709 1.3× 330 0.8× 19 6.1k
Andrew Fikes United States 5 2.8k 0.8× 2.2k 0.9× 451 0.8× 235 0.4× 405 1.0× 5 3.4k
Benjamin Reed United States 17 3.7k 1.0× 3.1k 1.3× 758 1.4× 437 0.8× 348 0.8× 33 4.4k
Hairong Kuang United States 6 2.7k 0.7× 2.2k 0.9× 694 1.3× 259 0.5× 285 0.7× 10 3.7k
Werner Vogels United States 19 4.9k 1.4× 2.8k 1.2× 548 1.0× 906 1.7× 282 0.7× 48 5.3k
Wilson C. Hsieh United States 22 3.8k 1.0× 2.6k 1.1× 1.0k 1.9× 1.1k 2.1× 486 1.1× 66 4.8k
Sanjay Radia United States 7 3.3k 0.9× 2.9k 1.2× 863 1.6× 396 0.7× 323 0.8× 19 4.5k
Shun-Tak A. Leung United States 8 5.1k 1.4× 3.4k 1.4× 739 1.3× 937 1.7× 315 0.7× 10 5.9k

Countries citing papers authored by Fay W. Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
1.
Myers, Brad A., et al.. (2018). Using Benchmarks to Teach and Evaluate User Interface Tools. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
2.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (2018). A Case for Network-Attached Secure Disks (CMU-CS-96-142). Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
3.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (2018). Filesystems for Network-Attached Secure Disks (CMU-CS-97-118). Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
4.
Chang, Fay W., Jay B. Dean, Sanjay Ghemawat, et al.. (2008). Bigtable. ACM Transactions on Computer Systems. 26(2). 1–26. 2111 indexed citations breakdown →
5.
Chang, Fay W., Jay B. Dean, Sanjay Ghemawat, et al.. (2006). Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).. Operating Systems Design and Implementation. 205–218. 30 indexed citations
6.
Chang, Fay W., Jay B. Dean, Sanjay Ghemawat, et al.. (2006). Bigtable: a distributed storage system for structured data. Operating Systems Design and Implementation. 205–218. 1182 indexed citations breakdown →
7.
Chang, Fay W., et al.. (2003). Operating System I/O Speculation: How Two Invocations Are Faster Than One. USENIX Annual Technical Conference. 325–338. 35 indexed citations
8.
Chang, Fay W., et al.. (2002). Myriad: cost-effective disaster tolerance. File and Storage Technologies. 8–8. 45 indexed citations
9.
Chang, Fay W. & Garth A. Gibson. (2002). Using speculative execution to automatically hide i/o latency. Defense Technical Information Center (DTIC). 12 indexed citations
10.
Gibson, Garth A., Daniel Stodolsky, Fay W. Chang, et al.. (2002). The Scotch parallel storage systems. 403–410. 11 indexed citations
11.
Chang, Fay W. & Garth A. Gibson. (2000). Automatic generation of I/O prefetching hints through speculative execution (poster session). ACM SIGOPS Operating Systems Review. 34(2). 35–35. 1 indexed citations
12.
Chang, Fay W. & Garth A. Gibson. (1999). Automatic I/O hint generation through speculative execution. Operating Systems Design and Implementation. 1–14. 144 indexed citations
13.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (1998). A cost-effective, high-bandwidth storage architecture. 92–103. 149 indexed citations
14.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (1998). A cost-effective, high-bandwidth storage architecture. ACM SIGOPS Operating Systems Review. 32(5). 92–103. 13 indexed citations
15.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (1998). A cost-effective, high-bandwidth storage architecture. ACM SIGPLAN Notices. 33(11). 92–103. 260 indexed citations
16.
Gibson, Garth A., David F. Nagle, Khalil Amiri, Fay W. Chang, & Howard Gobioff. (1997). Filesystems for Network-Attached Secure Disks,. 41 indexed citations
17.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (1997). File server scaling with network-attached secure disks. 272–284. 161 indexed citations
18.
Gibson, Garth A., David F. Nagle, Khalil Amiri, et al.. (1997). File server scaling with network-attached secure disks. ACM SIGMETRICS Performance Evaluation Review. 25(1). 272–284. 20 indexed citations

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.

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