Min Lyu

632 citations
18 papers · 432 · 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

13 papers receiving 419 citations

Peers

Min Lyu
Comparison fields: 5 of 40
  • Computer Science Applications 80
  • Artificial Intelligence 373
  • Sociology and Political Science 159
  • Health Informatics 5
  • Computer Networks and Communications 69
Replace Uri Stemmer with:
Uri Stemmer Israel
Junbum Shin South Korea
Qian Xiao China
David Xiao France
Raghav Bhaskar United States
Eran Omri Israel
Krishnan Pillaipakkamnatt United States
Michaela Götz United States
Amir Masoumzadeh United States
Alban Galland France
Min Lyu relative to Uri Stemmer Israel Uri Stemmer's profile →
Citations per field
00.5×2×2.9×
Uri Stemmer · 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 14 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

18 of 18 papers shown
#Work
1 2016138
2 2016101
3 201785
4 201739
5 202015
6 201815
7 201911
8 20188
9 20218
10 20215
11 20233
12 20232
13 20241
14 20211
15 20240
16 20240
17 20250
18 20170

About Min Lyu

Min Lyu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Science Applications and Information Systems, having authored 18 papers that have together received 432 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), Cryptography and Data Security (3 papers), Parallel Computing and Optimization Techniques (3 papers), Privacy, Security, and Data Protection (3 papers), Distributed and Parallel Computing Systems (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Science Applications (80 citations), Artificial Intelligence (373 citations), Sociology and Political Science (159 citations), Health Informatics (5 citations) and Computer Networks and Communications (69 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, Elisa Bertino, Yongkun Li, Hongxia Jin and Cheng Li. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Reliability, The VLDB Journal, Journal of Parallel and Distributed Computing and Proceedings of the VLDB Endowment.

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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