Min Lyu

612 citations
16 papers · 353 · h-index 8

Impact in

    • Mobile Crowdsensing and Crowdsourcing
    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Internet Traffic Analysis and Secure E-voting
    • Stochastic Gradient Optimization Techniques

Papers in

Min Lyu

12 papers receiving 341 citations

Peers

Min Lyu
Comparison fields: 5 of 33
  • Computer Science Applications 65
  • Artificial Intelligence 301
  • Health Informatics 5
  • Sociology and Political Science 126
  • Computer Networks and Communications 63
Replace Mark Bun with:
Mark Bun United States
Justin Brickell United States
Junbum Shin South Korea
Srivatsava Ranjit Ganta United States
Qian Xiao China
Xiaowei Ying United States
David Xiao United States
Justin Hsu United States
Uri Stemmer Israel
Raghav Bhaskar United States
Min Lyu relative to Mark Bun United States Mark Bun's profile →
Citations per field
00.5×10×
Mark Bun · 1×
Citations per year

Countries citing papers authored by Min Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Min Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Min Lyu, 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 Min Lyu Line = papers co-authored together Min Lyu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2016111
2 201683
3 201770
4 201730
5 201814
6 202013
7 201911
8 20218
9 20215
10
SelectiveEC: Selective Reconstruction in Erasure-coded Storage Systems.
20204
11 20232
12 20241
13 20211
14 20240
15 20230
16 20240

About Min Lyu

Min Lyu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Sociology and Political Science and Information Systems, having authored 16 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (11 papers), Caching and Content Delivery (7 papers), Privacy-Preserving Technologies in Data (5 papers), Parallel Computing and Optimization Techniques (4 papers), Cryptography and Data Security (3 papers), Privacy, Security, and Data Protection (3 papers), Peer-to-Peer Network Technologies (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Computer Science Applications (65 citations), Artificial Intelligence (301 citations), Health Informatics (5 citations), Sociology and Political Science (126 citations) and Computer Networks and Communications (63 citations). Min Lyu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ninghui Li, Dong Su, Ninghui Li, Wei‐Ning Yang, Jianneng Cao, Yinlong Xu, Hongxia Jin, Elisa Bertino, Yongkun Li and Zhipeng Li. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Proceedings of the VLDB Endowment, Journal of Parallel and Distributed Computing and ACM Transactions on Privacy and Security.

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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