Steve Lu

1.5k citations
14 papers · 124 · h-index 7

Impact in

Papers in

Steve Lu

14 papers receiving 120 citations

Peers

Steve Lu
Comparison fields: 5 of 25
  • Artificial Intelligence 100
  • Computational Theory and Mathematics 48
  • Occupational Therapy 10
  • Information Systems 38
  • Computer Networks and Communications 18
Replace Khoa Nguyen with:
Khoa Nguyen Singapore
Aurélien Lemay France
Yevgeniy Vahlis United States
Sanjit Chatterjee India
Yusuke Sakai Japan
Jun Kogure Japan
Tarik Moataz United States
Takashi Nishide Japan
Arpita Patra India
Shahram Khazaei Iran
Steve Lu relative to Khoa Nguyen Singapore Khoa Nguyen's profile →
Citations per field
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Khoa Nguyen · 1×
Citations per year

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-authors

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

All Works

14 of 14 papers shown
#Work
1 200841
2 201216
3 201511
4 202110
5 200910
6 20158
7 20196
8 20226
9 20225
10 20183
11 20203
12
Distributed Oblivious RAM for Secure Two-Party Computation
20113
13
Black-Box Garbled RAM.
20151
14 20231

About Steve Lu

Steve Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Occupational Therapy, having authored 14 papers that have together received 124 indexed citations. Recurring topics across this work include Cryptography and Data Security (12 papers), Complexity and Algorithms in Graphs (7 papers), Privacy-Preserving Technologies in Data (4 papers), Cryptographic Implementations and Security (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Chaos-based Image/Signal Encryption (2 papers), Security and Verification in Computing (2 papers) and Optimization and Search Problems (1 paper). The work is most often cited by research in Artificial Intelligence (100 citations), Computational Theory and Mathematics (48 citations), Occupational Therapy (10 citations), Information Systems (38 citations) and Computer Networks and Communications (18 citations). Steve Lu has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Rafail Ostrovsky, Amit Sahai, Brent Waters, Vipul Goyal, Sanjam Garg, Hovav Shacham, Daniel Manchala, Yuval Ishai, Brett Hemenway and Goris Nazari. Their work appears in journals such as Data Science Journal, Journal of Combinatorial Optimization, Journal of Cryptology, The Journal of Defense Modeling and Simulation Applications Methodology Technology and Journal of Military Veteran and Family Health.

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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