Rentong Guo

523 total citations
9 papers, 141 citations indexed

About

Rentong Guo is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rentong Guo has authored 9 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Rentong Guo's work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (7 papers) and Distributed systems and fault tolerance (3 papers). Rentong Guo is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (7 papers) and Distributed systems and fault tolerance (3 papers). Rentong Guo collaborates with scholars based in China, United States and Germany. Rentong Guo's co-authors include Xiaofei Liao, Hai Jin, Haikun Liu, Long Zheng, Bingsheng He, Yujie Chen, Jianhui Yue, Guang Tan, Xiang Long and Frank Liu and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Proceedings of the VLDB Endowment.

In The Last Decade

Rentong Guo

8 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rentong Guo China	7	99	70	48	31	24	9	141
Bernd Burgstaller South Korea	7	100 1.0×	106 1.5×	39 0.8×	25 0.8×	30 1.3×	38	169
Donna Dillenberger United States	7	130 1.3×	82 1.2×	55 1.1×	16 0.5×	57 2.4×	8	180
Xingbo Wu United States	7	222 2.2×	79 1.1×	104 2.2×	10 0.3×	31 1.3×	21	239
Yeonseung Ryu South Korea	7	139 1.4×	49 0.7×	59 1.2×	21 0.7×	16 0.7×	35	192
Joefon Jann United States	8	139 1.4×	93 1.3×	85 1.8×	19 0.6×	31 1.3×	17	175
Gaël Thomas France	7	91 0.9×	67 1.0×	57 1.2×	17 0.5×	47 2.0×	21	138
Dmitrii Ustiugov United Kingdom	7	141 1.4×	130 1.9×	75 1.6×	17 0.5×	19 0.8×	11	180
Luiz DeRose United States	9	147 1.5×	130 1.9×	63 1.3×	8 0.3×	20 0.8×	25	189
Sumi Choi United States	9	231 2.3×	53 0.8×	36 0.8×	17 0.5×	23 1.0×	13	248
Riza O. Suminto United States	6	196 2.0×	35 0.5×	134 2.8×	13 0.4×	28 1.2×	10	221

Countries citing papers authored by Rentong Guo

Since Specialization

Citations

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

Fields of papers citing papers by Rentong Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rentong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Rentong Guo. A scholar is included among the top collaborators of Rentong Guo 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 Rentong Guo. Rentong Guo 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:

9 of 9 papers shown

1.

Gao, Yunjun, et al.. (2024). Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment. Proceedings of the ACM on Management of Data. 2(1). 1–27. 14 indexed citations

2.

Guo, Rentong, et al.. (2022). Manu. Proceedings of the VLDB Endowment. 15(12). 3548–3561. 40 indexed citations

3.

Jin, Hai, et al.. (2020). Miss Penalty Aware Cache Replacement for Hybrid Memory Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4669–4682. 9 indexed citations

4.

Jin, Hai, et al.. (2017). MALRU: Miss-penalty aware LRU-based cache replacement for hybrid memory systems. 1086–1091. 9 indexed citations

5.

Liu, Haikun, Yujie Chen, Xiaofei Liao, et al.. (2017). Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. 1–10. 42 indexed citations

6.

Liao, Xiaofei, Rentong Guo, Hai Jin, Jianhui Yue, & Guang Tan. (2016). Enhancing the Malloc System with Pollution Awareness for Better Cache Performance. IEEE Transactions on Parallel and Distributed Systems. 28(3). 731–745. 5 indexed citations

7.

Guo, Rentong, Xiaofei Liao, Hai Jin, Jianhui Yue, & Guang Tan. (2015). NightWatch: integrating lightweight and transparent cache pollution control into dynamic memory allocation systems. 307–318. 14 indexed citations

8.

Liao, Xiaofei, et al.. (2014). A Phase Behavior Aware Dynamic Cache Partitioning Scheme for CMPs. International Journal of Parallel Programming. 44(1). 68–86. 7 indexed citations

9.

Liao, Xiaofei, et al.. (2014). Reducing lock contention on multi-core platforms. 12. 158–165. 1 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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