Shu Yin

1.3k total citations · 1 hit paper
65 papers, 990 citations indexed

About

Shu Yin is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Shu Yin has authored 65 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 23 papers in Information Systems and 19 papers in Hardware and Architecture. Recurrent topics in Shu Yin's work include Advanced Data Storage Technologies (33 papers), Caching and Content Delivery (19 papers) and Parallel Computing and Optimization Techniques (19 papers). Shu Yin is often cited by papers focused on Advanced Data Storage Technologies (33 papers), Caching and Content Delivery (19 papers) and Parallel Computing and Optimization Techniques (19 papers). Shu Yin collaborates with scholars based in United States, China and Saudi Arabia. Shu Yin's co-authors include Xiaojun Ruan, Adam Manzanares, Yun Tian, Xiao Qin, Huangke Chen, Xiaomin Zhu, Jiong Xie, Zhiyang Ding, Xiaocheng Liu and Laurence T. Yang and has published in prestigious journals such as Acta Materialia, IEEE Transactions on Computers and Reliability Engineering & System Safety.

In The Last Decade

Shu Yin

58 papers receiving 934 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.

Improving MapReduce performance through data placement in heterogeneous Hadoop clusters

2010 270 citations Jiong Xie, Shu Yin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu Yin United States	16	677	639	116	101	79	65	990
Marcello Cinque Italy	18	775 1.1×	441 0.7×	321 2.8×	106 1.0×	159 2.0×	122	1.1k
Sieteng Soh Australia	19	778 1.1×	172 0.3×	102 0.9×	56 0.6×	557 7.1×	124	1.3k
Jong Sou Park South Korea	15	562 0.8×	371 0.6×	207 1.8×	30 0.3×	76 1.0×	70	773
Javad Akbari Torkestani Iran	23	1.1k 1.6×	209 0.3×	255 2.2×	34 0.3×	270 3.4×	75	1.3k
Martin L. Shooman United States	13	349 0.5×	329 0.5×	95 0.8×	102 1.0×	181 2.3×	51	993
Xiaoyong Tang China	12	592 0.9×	497 0.8×	90 0.8×	302 3.0×	134 1.7×	25	919
Rong‐Hong Jan Taiwan	19	828 1.2×	149 0.2×	77 0.7×	19 0.2×	450 5.7×	72	1.1k
Sebastián García Galán Spain	14	143 0.2×	130 0.2×	146 1.3×	48 0.5×	82 1.0×	61	613
Zhiyuan Ren China	16	824 1.2×	221 0.3×	184 1.6×	19 0.2×	583 7.4×	68	1.2k
Anwar Haque Canada	15	758 1.1×	152 0.2×	530 4.6×	35 0.3×	222 2.8×	90	1.1k

Countries citing papers authored by Shu Yin

Since Specialization

Citations

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

Fields of papers citing papers by Shu Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yin. A scholar is included among the top collaborators of Shu Yin 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 Shu Yin. Shu Yin 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.

Wen, Xiang-Yang, et al.. (2025). Optimizing Data Acquisitions in Multi-Robot Systems. 837–854.

2.

Yin, Shu, et al.. (2024). A Data Optimizer for Region-Aware Self-describing Files in Scientific Computing. 883–897. 1 indexed citations

3.

Wu, Tianyuan, et al.. (2024). Portus: Efficient DNN Checkpointing to Persistent Memory with Zero-Copy. 59–70. 1 indexed citations

4.

Yin, Shu, et al.. (2023). RBC: A bandwidth controller to reduce write-stalls and tail latency. 213–222.

5.

Ji, Yuchen, et al.. (2022). Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From ShanghaiTech University. IEEE Transactions on Parallel and Distributed Systems. 34(6). 1716–1719. 2 indexed citations

6.

Wu, Tianyuan, et al.. (2021). Reproducibility: Performance Evaluation of MemXCT on Azure CycleCloud Platform. IEEE Transactions on Parallel and Distributed Systems. 33(9). 2047–2049.

7.

Yin, Shu, et al.. (2021). ADA: An Application-Conscious Data Acquirer for Visual Molecular Dynamics. 1–9. 1 indexed citations

8.

Ding, Zhiyang, Xiao Qin, & Shu Yin. (2021). Improving bioinformatics applications performance via active storage systems. 3(3). 242–251. 1 indexed citations

9.

Zhang, Jian, et al.. (2020). BORA: A Bag Optimizer for Robotic Analysis. 1–15. 2 indexed citations

10.

Zhu, Xiaomin, et al.. (2019). A Case Study on the Efficiency of User-Level Parallel File Systems. 2006. 90–97. 1 indexed citations

11.

Zhang, Jian, et al.. (2019). SHC: A Method for Stackable Parallel File Systems in Userspace. 1374–1381. 1 indexed citations

12.

Yin, Shu, et al.. (2019). Using degradation-with-jump measures to estimate life characteristics of lithium-ion battery. Reliability Engineering & System Safety. 191. 106515–106515. 7 indexed citations

13.

Zhu, Xiaomin, et al.. (2017). DuoFS: An Attempt at Energy-Saving and Retaining Reliability of Storage Systems. 2634–2635. 2 indexed citations

14.

Yin, Shu. (2014). The Dynamic Relations among Industrial Structure,Energy Efficiency and Energy Consumption in China——An Empirical Study Based on Co-integration and VECM. 1 indexed citations

15.

Zhu, Xiaomin, Laurence T. Yang, Huangke Chen, et al.. (2014). Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds. IEEE Transactions on Cloud Computing. 2(2). 168–180. 179 indexed citations

16.

Ding, Zhiyang, Shu Yin, Xiao Qin, et al.. (2012). Multicore-Enabled Smart Storage for Clusters. 108–116. 1 indexed citations

17.

Mei, Jing, Kenli Li, Jingtong Hu, Shu Yin, & Edwin H.‐M. Sha. (2012). Energy-aware preemptive scheduling algorithm for sporadic tasks on DVS platform. Microprocessors and Microsystems. 37(1). 99–112. 37 indexed citations

18.

Xie, Jiong, Shu Yin, Xiaojun Ruan, et al.. (2010). Improving MapReduce performance through data placement in heterogeneous Hadoop clusters. 1–9. 270 indexed citations breakdown →

19.

Yin, Shu, Xiaojun Ruan, Adam Manzanares, & Xiao Qin. (2009). How reliable are parallel disk systems when energy-saving schemes are involved?. 1. 1–9. 12 indexed citations

20.

Yin, Shu. (2002). Research of keeping carrier meter reading system work stably. Telecommunications for Electric Power System. 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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