Shimin Chen

3.0k citations
86 papers · 2.0k indexed · h-index 26

Impact in

Papers in

Shimin Chen

79 papers receiving 1.9k citations

Peers

Shimin Chen
Comparison fields: 5 of 73
  • Hardware and Architecture 995
  • Computer Networks and Communications 1.4k
  • Signal Processing 321
  • Information Systems 585
  • Artificial Intelligence 594
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Santosh Pande United States
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Dan Williams United States
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KyoungSoo Park South Korea
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Citations per field
00.5×6.1×
Santosh Pande · 1×
Citations per year

Countries citing papers authored by Shimin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shimin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shimin Chen, 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 Shimin Chen Line = papers co-authored together Shimin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20258
2 20252
3 20252
4 20240
5 20231
6
Progressive join algorithms considering user preference
20213
7 20188
8 20183
9
Adaptive weighted fusion based linear distributed filtering algorithm
20151
10 201510
11 201532
12
Flocking Control Algorithm of Multiple Agents Based on Community Division
20130
13
LogKV: Exploiting Key-Value Stores for Log Processing.
20135
14
Proceedings of the Eighth International Workshop on Data Management on New Hardware
20121
15
Rethinking Database Algorithms for Phase Change Memory
2011168
16
Flash in a DBMS: Where and How?
20107
17 200910
18
Provably good multicore cache performance for divide-and-conquer algorithms
200865
19
Inspector joins
200512
20
Redesigning database systems in light of cpu cache prefetching
20052

About Shimin Chen

Shimin Chen is a scholar working on Hardware and Architecture, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Information Systems, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (31 papers), Parallel Computing and Optimization Techniques (30 papers), Advanced Database Systems and Queries (17 papers), Cloud Computing and Resource Management (14 papers), Data Management and Algorithms (11 papers), Distributed systems and fault tolerance (11 papers), Security and Verification in Computing (10 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Hardware and Architecture (995 citations), Computer Networks and Communications (1.4k citations), Signal Processing (321 citations), Information Systems (585 citations) and Artificial Intelligence (594 citations). Shimin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Phillip B. Gibbons, Todd C. Mowry, Jin Qin, Michael A. Kozuch, Suman Nath, Anastassia Ailamaki, Babak Falsafi, Yanfeng Zhang, Olatunji Ruwase and Evangelos Vlachos. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices, ACM SIGMOD Record, ACM Transactions on Database Systems and IEEE Transactions on Knowledge and Data Engineering.

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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