Andrew W. Leung
- Computer Networks and Communications top 2%
- Information Systems top 5%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Information Systems and Management top 10%
- Co-authors
- Ethan L. MillerShankar PasupathyGarth R. GoodsonCarlos MaltzahnScott BrandtSage A. WeilTimothy BissonMinglong Shao
- Topics
- Advanced Data Storage Technologies (12 papers)Caching and Content Delivery (8 papers)Peer-to-Peer Network Technologies (4 papers)
- Partner nations
- United States
In The Last Decade
Andrew W. Leung
12 papers receiving 463 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 446
- Information Systems 241
- Artificial Intelligence 83
- Hardware and Architecture 63
- Information Systems and Management 35
Countries citing papers authored by Andrew W. Leung
This map shows the geographic impact of Andrew W. Leung'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 Andrew W. Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew W. Leung more than expected).
Fields of papers citing papers by Andrew W. Leung
This network shows the impact of papers produced by Andrew W. Leung. 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 Andrew W. Leung. The network helps show where Andrew W. Leung may publish in the future.
Co-authorship network of co-authors of Andrew W. Leung
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew W. Leung. A scholar is included among the top collaborators of Andrew W. Leung 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 Andrew W. Leung. Andrew W. Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Recommender System for Cultural Restaurants Based on Review Factors and Review Sentiment. | 11 |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 23 | |
| 5 | Spyglass: fast, scalable metadata search for large-scale storage systems | 84 |
| 6 | Measurement and analysis of large-scale network file system workloads | 175 |
| 7 | 0 | |
| 8 | Scaling security for big, parallel file systems | 1 |
| 9 | 116 | |
| 10 | 14 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | 29 |
About Andrew W. Leung
Andrew W. Leung is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 13 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (12 papers), Caching and Content Delivery (8 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (446 citations), Information Systems (241 citations) and Hardware and Architecture (63 citations). Andrew W. Leung has collaborated with scholars based in United States. Frequent co-authors include Ethan L. Miller, Shankar Pasupathy, Garth R. Goodson, Carlos Maltzahn, Scott Brandt, Sage A. Weil, Timothy Bisson, Minglong Shao, Zhichao Li and Kevin M. Greenan. Their work appears in journals such as Communications of the ACM, Journal of the Association for Information Systems and Queue.
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.