Yuchong Hu
- Computer Networks and Communications top 1%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Advanced Data Storage Technologies (66 papers)Caching and Content Delivery (58 papers)Cloud Computing and Resource Management (14 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE AccessIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yuchong Hu
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 1.2k
- Information Systems 387
- Artificial Intelligence 312
- Computational Theory and Mathematics 116
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Yuchong Hu
This map shows the geographic impact of Yuchong Hu'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 Yuchong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchong Hu more than expected).
Fields of papers citing papers by Yuchong Hu
This network shows the impact of papers produced by Yuchong Hu. 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 Yuchong Hu. The network helps show where Yuchong Hu may publish in the future.
Co-authorship network of co-authors of Yuchong Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuchong Hu. A scholar is included among the top collaborators of Yuchong Hu 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 Yuchong Hu. Yuchong Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | Exploiting Combined Locality for Wide-Stripe Erasure Coding in Distributed Storage | 26 |
| 8 | 38 | |
| 9 | OpenEC: Toward Unified and Configurable Erasure Coding Management in Distributed Storage Systems | 19 |
| 10 | 29 | |
| 11 | 23 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 18 | |
| 15 | FastCDC: a fast and efficient content-defined chunking approach for data deduplication | 51 |
| 16 | 34 | |
| 17 | Rubik: unlocking the power of locality and end-point flexibility in cloud scale load balancing | 11 |
| 18 | 5 | |
| 19 | 124 | |
| 20 | CoCoA: Coordinated Cooperative Localization for Mobile Multi-Robot Ad Hoc Networks. | 2 |
About Yuchong Hu
Yuchong Hu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (66 papers), Caching and Content Delivery (58 papers) and Cloud Computing and Resource Management (14 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (387 citations) and Artificial Intelligence (312 citations). Yuchong Hu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Patrick P. C. Lee, Kenneth W. Shum, Dan Feng, Pan Zhou, Yang Tang, Runhui Li, Yinlong Xu, Dapeng Wu, Hanxu Hou and Cheng Zhan. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.