Kun Ren

1.4k total citations · 1 hit paper
12 papers, 804 citations indexed

About

Kun Ren is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Kun Ren has authored 12 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 7 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Kun Ren's work include Distributed systems and fault tolerance (11 papers), Advanced Data Storage Technologies (7 papers) and Cloud Computing and Resource Management (6 papers). Kun Ren is often cited by papers focused on Distributed systems and fault tolerance (11 papers), Advanced Data Storage Technologies (7 papers) and Cloud Computing and Resource Management (6 papers). Kun Ren collaborates with scholars based in United States, China and Ireland. Kun Ren's co-authors include Daniel J. Abadi, Alexander Thomson, Jiewen Huang, Shu-Chun Weng, Dennis H. Li, Zhanhuai Li and Woon-Hak Kang and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and The VLDB Journal.

In The Last Decade

Kun Ren

11 papers receiving 758 citations

Hit Papers

Calvin 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Ren United States 8 703 401 207 155 91 12 804
Bishwaranjan Bhattacharjee United States 13 463 0.7× 200 0.5× 224 1.1× 95 0.6× 86 0.9× 37 604
Sebastian Breß Germany 16 572 0.8× 287 0.7× 200 1.0× 158 1.0× 174 1.9× 49 711
Spyros Blanas United States 11 790 1.1× 499 1.2× 258 1.2× 140 0.9× 175 1.9× 35 992
Tyler Akidau United States 4 599 0.9× 426 1.1× 217 1.0× 73 0.5× 54 0.6× 7 684
D Mills United States 3 593 0.8× 421 1.0× 216 1.0× 73 0.5× 53 0.6× 5 679
Ingo Müller Switzerland 9 406 0.6× 217 0.5× 138 0.7× 51 0.3× 97 1.1× 25 494
Angelika Reiser Germany 13 506 0.7× 238 0.6× 90 0.4× 60 0.4× 103 1.1× 28 583
Nga Tran United States 4 704 1.0× 314 0.8× 240 1.2× 105 0.7× 78 0.9× 5 794
Manos Athanassoulis United States 19 949 1.3× 421 1.0× 179 0.9× 68 0.4× 265 2.9× 54 1.0k
Rob Pike United States 5 381 0.5× 314 0.8× 87 0.4× 76 0.5× 77 0.8× 6 480

Countries citing papers authored by Kun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Ren

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

All Works

12 of 12 papers shown
1.
Kang, Woon-Hak, et al.. (2019). Designing an Efficient Replicated Log Store with Consensus Protocol. IEEE International Conference on Cloud Computing Technology and Science. 1 indexed citations
2.
Ren, Kun, Dennis H. Li, & Daniel J. Abadi. (2019). SLOG. Proceedings of the VLDB Endowment. 12(11). 1747–1761. 29 indexed citations
3.
4.
Ren, Kun, et al.. (2016). Low-Overhead Asynchronous Checkpointing in Main-Memory Database Systems. 1539–1551. 27 indexed citations
5.
Ren, Kun, Alexander Thomson, & Daniel J. Abadi. (2015). VLL: a lock manager redesign for main memory database systems. The VLDB Journal. 24(5). 681–705. 18 indexed citations
6.
Ren, Kun, Alexander Thomson, & Daniel J. Abadi. (2014). An evaluation of the advantages and disadvantages of deterministic database systems. Proceedings of the VLDB Endowment. 7(10). 821–832. 47 indexed citations
7.
Thomson, Alexander, et al.. (2014). Fast Distributed Transactions and Strongly Consistent Replication for OLTP Database Systems. ACM Transactions on Database Systems. 39(2). 1–39. 20 indexed citations
8.
Ren, Kun, Alexander Thomson, & Daniel J. Abadi. (2012). Lightweight locking for main memory database systems. Proceedings of the VLDB Endowment. 6(2). 145–156. 62 indexed citations
9.
Thomson, Alexander, et al.. (2012). Calvin. 1–12. 325 indexed citations breakdown →
10.
Huang, Jiewen, Daniel J. Abadi, & Kun Ren. (2011). Scalable SPARQL querying of large RDF graphs. Proceedings of the VLDB Endowment. 4(11). 1123–1134. 265 indexed citations
11.
Li, Zhanhuai, et al.. (2010). ARPRG: An asynchronous replication protocol with RPO guarantee. 40. V1–611. 1 indexed citations
12.
Ren, Kun, et al.. (2010). LBDRP: A low-bandwidth data replication protocol on journal-based application. 18. V4–89. 2 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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