Ling Ren

3.8k total citations · 1 hit paper
74 papers, 1.7k citations indexed

About

Ling Ren is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ling Ren has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 34 papers in Computer Networks and Communications and 25 papers in Information Systems. Recurrent topics in Ling Ren's work include Cryptography and Data Security (46 papers), Distributed systems and fault tolerance (27 papers) and Blockchain Technology Applications and Security (16 papers). Ling Ren is often cited by papers focused on Cryptography and Data Security (46 papers), Distributed systems and fault tolerance (27 papers) and Blockchain Technology Applications and Security (16 papers). Ling Ren collaborates with scholars based in United States, China and Israel. Ling Ren's 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 and has published in prestigious journals such as PLoS ONE, Journal of the ACM and IEEE Sensors Journal.

In The Last Decade

Ling Ren

69 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Path ORAM

2013 379 citations Emil Stefanov, Marten van Dijk et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Ren United States	23	1.1k	568	561	277	262	74	1.7k
Yuke Wang United States	17	557 0.5×	422 0.7×	241 0.4×	99 0.4×	210 0.8×	69	947
Michela Becchi United States	25	968 0.9×	364 0.6×	1.3k 2.3×	1.6k 5.8×	236 0.9×	84	2.1k
Kai Engelhardt Australia	11	1.1k 0.9×	299 0.5×	497 0.9×	365 1.3×	112 0.4×	22	1.4k
Susmit Jha United States	16	567 0.5×	288 0.5×	147 0.3×	265 1.0×	157 0.6×	67	1.2k
Idit Keidar Israel	29	474 0.4×	709 1.2×	2.3k 4.0×	572 2.1×	172 0.7×	149	2.6k
Christopher W. Fletcher United States	27	1.9k 1.7×	494 0.9×	659 1.2×	886 3.2×	556 2.1×	86	2.5k
Juan Gómez-Luna Switzerland	22	388 0.3×	214 0.4×	828 1.5×	898 3.2×	657 2.5×	103	1.8k
Ajay Joshi United States	25	641 0.6×	203 0.4×	695 1.2×	654 2.4×	1.6k 6.1×	124	2.4k
Leonid Reyzin United States	14	1.0k 0.9×	868 1.5×	531 0.9×	295 1.1×	350 1.3×	37	1.9k
Paolo Faraboschi United States	25	382 0.3×	424 0.7×	1.4k 2.5×	1.6k 5.7×	651 2.5×	108	2.5k

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-authorship network of co-authors of Ling Ren

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Duan, Sisi, et al.. (2024). Asynchronous Consensus without Trusted Setup or Public-Key Cryptography. 3242–3256. 4 indexed citations

2.

Blocki, Jeremiah, Peiyuan Liu, Ling Ren, & Samson Zhou. (2024). Bandwidth-Hard Functions: Reductions and Lower Bounds. Journal of Cryptology. 37(2).

3.

Ren, Ling, et al.. (2023). On the Security of KZG Commitment for VSS. 2561–2575. 2 indexed citations

4.

Xiang, Zhuolun, et al.. (2023). Threshold Signatures from Inner Product Argument: Succinct, Weighted, and Multi-threshold. 356–370. 5 indexed citations

5.

Ren, Ling, et al.. (2023). Brain Computer Interface Based on Motor Imagery for Mechanical Arm Grasp Control. Information Technology And Control. 52(2). 358–366. 4 indexed citations

6.

Abraham, Ittai, T-H. Hubert Chan, Danny Dolev, et al.. (2022). Communication complexity of byzantine agreement, revisited. Distributed Computing. 36(1). 3–28. 6 indexed citations

7.

Ren, Ling, et al.. (2021). Optimal Communication Complexity of Authenticated Byzantine Agreement. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 6 indexed citations

8.

Abraham, Ittai, Kartik Nayak, Ling Ren, & Zhuolun Xiang. (2021). Good-case Latency of Byzantine Broadcast. 331–341. 28 indexed citations

9.

Abraham, Ittai, Kartik Nayak, Ling Ren, & Zhuolun Xiang. (2020). Optimal good-case latency for byzantine broadcast and state machine replication. arXiv (Cornell University). 2 indexed citations

10.

Abraham, Ittai, Kartik Nayak, Ling Ren, & Zhuolun Xiang. (2020). Brief Announcement: Byzantine Agreement, Broadcast and State Machine Replication with Optimal Good-Case Latency. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 3. 1 indexed citations

11.

Stefanov, Emil, Marten van Dijk, Elaine Shi, et al.. (2019). A Retrospective on Path ORAM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(8). 1572–1576. 2 indexed citations

12.

Stefanov, Emil, Marten van Dijk, Elaine Shi, et al.. (2018). Path ORAM. Journal of the ACM. 65(4). 1–26. 88 indexed citations

13.

Ren, Ling, Christopher W. Fletcher, Albert Kwon, Marten van Dijk, & Srinivas Devadas. (2017). Design and Implementation of the Ascend Secure Processor. IEEE Transactions on Dependable and Secure Computing. 16(2). 204–216. 21 indexed citations

14.

Abraham, Ittai, Dahlia Malkhi, Kartik Nayak, Ling Ren, & Alexander Spiegelman. (2016). Solidus: An Incentive-compatible Cryptocurrency Based on Permissionless Byzantine Consensus.. arXiv (Cornell University). 40 indexed citations

15.

Devadas, Srinivas, Marten van Dijk, Christopher W. Fletcher, et al.. (2015). Onion ORAM: A Constant Bandwidth Blowup Oblivious RAM. IACR Cryptology ePrint Archive. 2 indexed citations

16.

Fletcher, Christopher W., Ling Ren, Albert Kwon, et al.. (2015). A Low-Latency, Low-Area Hardware Oblivious RAM Controller. 29 indexed citations

17.

Wang, Yu, Mingrui Xia, Ling Ren, et al.. (2013). A Hybrid CPU-GPU Accelerated Framework for Fast Mapping of High-Resolution Human Brain Connectome. PLoS ONE. 8(5). e62789–e62789. 24 indexed citations

18.

Wang, Yu, et al.. (2013). Correction: A Hybrid CPU-GPU Accelerated Framework for Fast Mapping of High-Resolution Human Brain Connectome. PLoS ONE. 8(9). 1 indexed citations

19.

Ren, Ling, Xiaohong Chen, Yu Wang, Chenxi Zhang, & Huazhong Yang. (2012). Sparse LU factorization for parallel circuit simulation on GPU. 1125–1130. 27 indexed citations

20.

Wang, Yu, Ling Ren, Xiaorui Zhang, et al.. (2011). A heterogeneous accelerator platform for multi-subject voxel-based brain network analysis. International Conference on Computer Aided Design. 339–344. 4 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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