Suzhen Wu

1.2k citations
54 papers · 893 · h-index 19

Impact in

Papers in

Suzhen Wu

53 papers receiving 872 citations

Peers

Suzhen Wu
Comparison fields: 5 of 31
  • Computer Networks and Communications 830
  • Hardware and Architecture 218
  • Information Systems 426
  • Artificial Intelligence 132
  • Computational Theory and Mathematics 65
Replace Mingzhe Hao with:
Mingzhe Hao United States
Jay J. Wylie United States
Radu Stoica Switzerland
Svend Frølund United States
Ricardo Koller United States
Manos Kapritsos United States
Shu-Chun Weng United States
Xuezheng Liu China
Mohsen Vakilian United States
Silvius Rus United States
Suzhen Wu relative to Mingzhe Hao United States Mingzhe Hao's profile →
Citations per field
00.5×3.6×
Mingzhe Hao · 1×
Citations per year

Countries citing papers authored by Suzhen Wu

Since Specialization
Citations

This map shows the geographic impact of Suzhen Wu'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 Suzhen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzhen Wu more than expected).

Fields of papers citing papers by Suzhen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzhen Wu. 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 Suzhen Wu. The network helps show where Suzhen Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Suzhen Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suzhen Wu Line = papers co-authored together Suzhen Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201279
2
WorkOut: I/O workload outsourcing for boosting RAID reconstruction performance
200971
3 201455
4 201749
5 201643
6 201641
7 201732
8 201431
9 201530
10 201529
11 201627
12 201526
13 201425
14 201225
15 201724
16 201523
17 200823
18 201019
19 201818
20 201818

About Suzhen Wu

Suzhen Wu is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 54 papers that have together received 893 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (52 papers), Caching and Content Delivery (42 papers), Cloud Data Security Solutions (25 papers), Parallel Computing and Optimization Techniques (13 papers), Cloud Computing and Resource Management (6 papers), Distributed systems and fault tolerance (5 papers), Algorithms and Data Compression (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (830 citations), Hardware and Architecture (218 citations), Information Systems (426 citations), Artificial Intelligence (132 citations) and Computational Theory and Mathematics (65 citations). Suzhen Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bo Mao, Hong Jiang, Lei Tian, Dan Feng, Lingfang Zeng, Jianxi Chen, Kuan‐Ching Li, Yanping Lin, Lide Duan and Yinjin Fu. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Storage, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Future Generation Computer Systems.

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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