Ling Ren

3.8k citations
74 papers · 1.7k · 1 hit paper · h-index 23

Impact in

Papers in

Ling Ren

69 papers receiving 1.6k citations

Ling Ren's Hit Papers

Path ORAM 2013 · 379 citations
3790+4+8Years since publication100200300

Peers

Ling Ren
Comparison fields: 5 of 59
  • Hardware and Architecture 277
  • Artificial Intelligence 1.1k
  • Information Systems 568
  • Computer Networks and Communications 561
  • Computational Theory and Mathematics 249
Replace Susmit Jha with:
Susmit Jha United States
Kai Engelhardt Australia
Yuke Wang United States
Daniel M. Roy United States
Leonid Reyzin United States
Idit Keidar Israel
Michela Becchi United States
David Gregg Ireland
Emina Torlak United States
Marc Jóye France
Ling Ren relative to Susmit Jha United States Susmit Jha's profile →
Citations per field
00.5×3.8×
Susmit Jha · 1×
Citations per year

Countries citing papers authored by Ling Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Path ORAM
Hit paper breakdown →
2013379
2 201888
3 202085
4 201373
5 201665
6
Constants Count: Practical Improvements to Oblivious RAM
201464
7 201461
8 201260
9 201452
10 201551
11 202241
12
Solidus: An Incentive-compatible Cryptocurrency Based on Permissionless Byzantine Consensus.
201640
13 201935
14 201530
15 201529
16 202128
17 201928
18 201227
19 201926
20 201726

About Ling Ren

Ling Ren is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computational Theory and Mathematics and Hardware and Architecture, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cryptography and Data Security (46 papers), Distributed systems and fault tolerance (27 papers), Blockchain Technology Applications and Security (16 papers), Security and Verification in Computing (14 papers), Complexity and Algorithms in Graphs (12 papers), Cloud Data Security Solutions (9 papers), Cryptographic Implementations and Security (8 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Hardware and Architecture (277 citations), Artificial Intelligence (1.1k citations), Information Systems (568 citations), Computer Networks and Communications (561 citations) and Computational Theory and Mathematics (249 citations). Ling Ren has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Srinivas Devadas, Marten van Dijk, Christopher W. Fletcher, Xiangyao Yu, Elaine Shi, Emil Stefanov, Kartik Nayak, Ittai Abraham, Dahlia Malkhi and Albert Kwon. Their work appears in journals such as PLoS ONE, Journal of Cryptology, IEEE Transactions on Dependable and Secure Computing, ACM SIGMETRICS Performance Evaluation Review and Personal and Ubiquitous Computing.

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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