Steve Lu

1.5k total citations
14 papers, 124 citations indexed

About

Steve Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steve Lu has authored 14 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steve Lu's work include Cryptography and Data Security (12 papers), Complexity and Algorithms in Graphs (7 papers) and Privacy-Preserving Technologies in Data (4 papers). Steve Lu is often cited by papers focused on Cryptography and Data Security (12 papers), Complexity and Algorithms in Graphs (7 papers) and Privacy-Preserving Technologies in Data (4 papers). Steve Lu collaborates with scholars based in United States, Israel and Canada. Steve Lu's co-authors include Rafail Ostrovsky, Amit Sahai, Brent Waters, Vipul Goyal, Sanjam Garg, Alessandra Scafuro, Brett Hemenway, Joy C. MacDermid, Hovav Shacham and Daniel Manchala and has published in prestigious journals such as Journal of Cryptology, Journal of Combinatorial Optimization and Data Science Journal.

In The Last Decade

Steve Lu

14 papers receiving 120 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steve Lu United States 7 100 48 38 18 14 14 124
Jun Kogure Japan 4 91 0.9× 38 0.8× 34 0.9× 10 0.6× 22 1.6× 10 113
Yusuke Sakai Japan 7 89 0.9× 30 0.6× 36 0.9× 25 1.4× 7 0.5× 27 99
Tarik Moataz United States 7 138 1.4× 30 0.6× 48 1.3× 28 1.6× 23 1.6× 14 146
Martin C. Henson United Kingdom 8 103 1.0× 88 1.8× 30 0.8× 26 1.4× 6 0.4× 31 151
Aurélien Lemay France 6 80 0.8× 56 1.2× 20 0.5× 14 0.8× 6 0.4× 12 94
Khoa Nguyen Singapore 7 91 0.9× 21 0.4× 41 1.1× 26 1.4× 22 1.6× 22 113
Sanjit Chatterjee India 8 152 1.5× 44 0.9× 71 1.9× 28 1.6× 30 2.1× 15 167
Yevgeniy Vahlis United States 3 77 0.8× 35 0.7× 23 0.6× 14 0.8× 5 0.4× 4 83
Katsuyuki Takashima Japan 6 79 0.8× 17 0.4× 46 1.2× 18 1.0× 20 1.4× 19 94
Mohammad Mahmoody United States 7 98 1.0× 22 0.5× 21 0.6× 17 0.9× 22 1.6× 22 131

Countries citing papers authored by Steve Lu

Since Specialization
Citations

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

Fields of papers citing papers by Steve Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Lu. A scholar is included among the top collaborators of Steve Lu 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 Steve Lu. Steve Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Ishai, Yuval, et al.. (2022). PSI from Ring-OLE. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 531–545. 6 indexed citations
3.
Ishai, Yuval, et al.. (2022). Improving Line-Point Zero Knowledge. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 829–841. 5 indexed citations
4.
Nazari, Goris, Steve Lu, & Joy C. MacDermid. (2021). Quantifying physiological responses during simulated tasks among Canadian firefighters: A systematic review and meta-analysis. Journal of Military Veteran and Family Health. 7(1). 55–75. 10 indexed citations
5.
Bouloukakis, Georgios, Mamadou Diallo, Michael Hay, et al.. (2020). Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 19(3). 501–517. 3 indexed citations
6.
Hemenway, Brett, Steve Lu, & Rafail Ostrovsky. (2019). DURASIFT. 26–36. 6 indexed citations
7.
Alter, George, Brett Hemenway, Steve Lu, & Rafail Ostrovsky. (2018). Computing Statistics from Private Data. Data Science Journal. 17. 3 indexed citations
8.
Garg, Sanjam, Steve Lu, & Rafail Ostrovsky. (2015). Black-Box Garbled RAM.. IACR Cryptology ePrint Archive. 2015. 307. 1 indexed citations
9.
Garg, Sanjam, Steve Lu, Rafail Ostrovsky, & Alessandra Scafuro. (2015). Garbled RAM From One-Way Functions. 449–458. 11 indexed citations
10.
Garg, Sanjam, Steve Lu, & Rafail Ostrovsky. (2015). Black-Box Garbled RAM. 210–229. 8 indexed citations
11.
Lu, Steve, Rafail Ostrovsky, Amit Sahai, Hovav Shacham, & Brent Waters. (2012). Sequential Aggregate Signatures, Multisignatures, and Verifiably Encrypted Signatures Without Random Oracles. Journal of Cryptology. 26(2). 340–373. 16 indexed citations
12.
Lu, Steve & Rafail Ostrovsky. (2011). Distributed Oblivious RAM for Secure Two-Party Computation. 3 indexed citations
13.
Lu, Steve, Daniel Manchala, & Rafail Ostrovsky. (2009). Visual cryptography on graphs. Journal of Combinatorial Optimization. 21(1). 47–66. 10 indexed citations
14.
Goyal, Vipul, Steve Lu, Amit Sahai, & Brent Waters. (2008). Black-box accountable authority identity-based encryption. 427–436. 41 indexed citations

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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