Zhendong Bei

400 total citations
13 papers, 288 citations indexed

About

Zhendong Bei is a scholar working on Information Systems, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Zhendong Bei has authored 13 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Zhendong Bei's work include Cloud Computing and Resource Management (9 papers), Software System Performance and Reliability (5 papers) and Distributed and Parallel Computing Systems (4 papers). Zhendong Bei is often cited by papers focused on Cloud Computing and Resource Management (9 papers), Software System Performance and Reliability (5 papers) and Distributed and Parallel Computing Systems (4 papers). Zhendong Bei collaborates with scholars based in China, United States and Belgium. Zhendong Bei's co-authors include Zhibin Yu, Xuehai Qian, Chengzhong Xu, Shengzhong Feng, Lieven Eeckhout, Huiling Zhang, Chuntao Jiang, Yanjie Wei, Huiling Zhang and J. W. Zhao and has published in prestigious journals such as IEEE Access, Proteins Structure Function and Bioinformatics and PLoS Computational Biology.

In The Last Decade

Zhendong Bei

13 papers receiving 282 citations

Peers

Zhendong Bei

IS

CNC

AI

MB

CVPR

Salman Toor Sweden

David Pease United States

Dominic Battré Germany

Uwe Röhm Australia

Vinay Deolalikar United States

Glenn S. Fowler United States

Ramakrishna Varadarajan United States

Erik Meijer United States

Matthew A. Hammer United States

Kristi Morton United States

Salman Toor Sweden

Zhendong Bei

72 ×0.4

IS

89 ×0.5

CNC

89 ×1.2

AI

34 ×0.8

MB

8 ×0.2

CVPR

Citations per year, relative to Zhendong Bei Zhendong Bei (= 1×) peers Salman Toor

Countries citing papers authored by Zhendong Bei

Since Specialization

Citations

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

Fields of papers citing papers by Zhendong Bei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhendong Bei

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

13 of 13 papers shown

1.

Zhang, Huiling, Ying Huang, Zhendong Bei, et al.. (2022). Inter-Residue Distance Prediction From Duet Deep Learning Models. Frontiers in Genetics. 13. 887491–887491. 6 indexed citations

2.

Zhang, Huiling, Zhendong Bei, Wenhui Xi, et al.. (2021). Evaluation of residue-residue contact prediction methods: From retrospective to prospective. PLoS Computational Biology. 17(5). e1009027–e1009027. 19 indexed citations

3.

Bei, Zhendong, Nam Sung Kim, Kai Hwang, & Zhibin Yu. (2021). OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS. IEEE Transactions on Computers. 71(4). 809–823. 5 indexed citations

4.

Yu, Zhibin, Zhendong Bei, & Xuehai Qian. (2018). Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. ACM SIGPLAN Notices. 53(2). 564–577. 17 indexed citations

5.

Yu, Zhibin, Zhendong Bei, & Xuehai Qian. (2018). Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. 564–577. 62 indexed citations

6.

Yu, Zhibin, et al.. (2017). MIA: Metric Importance Analysis for Big Data Workload Characterization. IEEE Transactions on Parallel and Distributed Systems. 29(6). 1371–1384. 15 indexed citations

7.

Bei, Zhendong, et al.. (2017). Configuring in-memory cluster computing using random forest. Future Generation Computer Systems. 79. 1–15. 28 indexed citations

8.

Bei, Zhendong, et al.. (2017). MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning. IEEE Access. 5. 3580–3593. 11 indexed citations

9.

Zhang, Huiling, Qingsheng Huang, Zhendong Bei, Yanjie Wei, & Christodoulos A. Floudas. (2016). COMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming. Proteins Structure Function and Bioinformatics. 84(3). 332–348. 17 indexed citations

10.

Yu, Zhibin, et al.. (2016). Performance Modeling for Spark Using SVM. 4. 127–131. 13 indexed citations

11.

Bei, Zhendong, Zhibin Yu, Huiling Zhang, et al.. (2015). RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration. IEEE Transactions on Parallel and Distributed Systems. 27(5). 1470–1483. 71 indexed citations

12.

Yu, Zhibin, Zhendong Bei, J. W. Zhao, et al.. (2013). A characterization of big data benchmarks. 118–125. 23 indexed citations

13.

Feng, Shengzhong, et al.. (2010). Visual hull construction based on line segments. 2010 3rd International Congress on Image and Signal Processing. 30. 1709–1712. 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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