Weiren Yu

469 total citations
18 papers, 319 citations indexed

About

Weiren Yu is a scholar working on Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Weiren Yu has authored 18 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Information Systems and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Weiren Yu's work include Complex Network Analysis Techniques (8 papers), Web Data Mining and Analysis (4 papers) and Caching and Content Delivery (3 papers). Weiren Yu is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Web Data Mining and Analysis (4 papers) and Caching and Content Delivery (3 papers). Weiren Yu collaborates with scholars based in China, United States and United Kingdom. Weiren Yu's co-authors include Richong Zhang, Jianxin Li, Jianxin Li, Shuai Ma, Jinpeng Huai, Charų C. Aggarwal, Haixun Wang, Md Zakirul Alam Bhuiyan, Jianxin Li and Yan Lu and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Multimedia.

In The Last Decade

Weiren Yu

17 papers receiving 305 citations

Peers

Weiren Yu

AI

SNP

CNC

IS

CVPR

Yinglong Xia United States

Steve Harenberg United States

Olivier Thonnard France

Soon Tee Teoh United States

Stephen Ranshous United States

David Fuhry United States

Yuntao Jia United States

Zhenying He China

Qingqing Gan China

Yinglong Xia United States

Weiren Yu

326 ×2.1

AI

85 ×0.8

SNP

75 ×0.8

CNC

87 ×1.1

IS

96 ×1.2

CVPR

Citations per year, relative to Weiren Yu Weiren Yu (= 1×) peers Yinglong Xia

Countries citing papers authored by Weiren Yu

Since Specialization

Citations

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

Fields of papers citing papers by Weiren Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiren Yu

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

18 of 18 papers shown

1.

Liu, Jian, L. Q. Qin, Yicheng Zhou, et al.. (2025). A comprehensive review of traffic flow forecasting based on deep learning. Neurocomputing. 668. 132269–132269.

2.

Yu, Weiren, Zhengming Ding, Chunming Hu, & Hongfu Liu. (2019). Knowledge Reused Outlier Detection. IEEE Access. 7. 43763–43772. 8 indexed citations

3.

Yu, Weiren, et al.. (2018). Litz: elastic framework for high-performance distributed machine learning. 631–643. 11 indexed citations

4.

Yu, Weiren, Jianxin Li, Md Zakirul Alam Bhuiyan, Richong Zhang, & Jinpeng Huai. (2017). Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams. IEEE Transactions on Big Data. 5(4). 506–519. 37 indexed citations

5.

Zhang, Yangyang, et al.. (2017). HotML: A DSM-based machine learning system for social networks. Journal of Computational Science. 26. 478–487. 5 indexed citations

6.

Zhang, Yangyang, et al.. (2017). DPS: A DSM-based Parameter Server for Machine Learning. 17. 20–27. 2 indexed citations

7.

Li, Jianxin, et al.. (2016). iGraph: an incremental data processing system for dynamic graph. Frontiers of Computer Science. 10(3). 462–476. 39 indexed citations

8.

Wo, Tianyu, et al.. (2015). SpanFS: a scalable file system on fast storage devices. USENIX Annual Technical Conference. 249–261. 24 indexed citations

9.

Li, Jianxin, et al.. (2015). Bursty event detection from microblog: a distributed and incremental approach. Concurrency and Computation Practice and Experience. 28(11). 3115–3130. 26 indexed citations

10.

Lu, Joan, Weiren Yu, Richong Zhang, Jianxin Li, & Hua Wei. (2015). Discovering Event Evolution Chain in Microblog. 635–640. 11 indexed citations

11.

Li, Jianxin, et al.. (2015). LiveIndex: A Distributed Online Index System for Temporal Microblog Data. 884–887. 2 indexed citations

12.

Song, Qi, Bo Li, Weiren Yu, Jianxin Li, & Bin Shi. (2014). NSLPA: A Node Similarity Based Label Propagation Algorithm for Real-Time Community Detection. 896–901. 6 indexed citations

13.

Li, Jianxin, et al.. (2014). Online Bursty Event Detection from Microblog. 865–870. 31 indexed citations

14.

Lü, Lin, et al.. (2014). Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach. 890–895. 25 indexed citations

15.

Yu, Weiren, Charų C. Aggarwal, Shuai Ma, & Haixun Wang. (2013). On Anomalous Hotspot Discovery in Graph Streams. 1271–1276. 35 indexed citations

16.

Fu, Jingjing, et al.. (2013). Kinect-Like Depth Data Compression. IEEE Transactions on Multimedia. 15(6). 1340–1352. 36 indexed citations

17.

Fu, Jingjing, et al.. (2012). Kinect-Like Depth Compression with 2D+T Prediction. 599–604. 4 indexed citations

18.

Yu, Weiren, Jianxin Li, Chunming Hu, & Liang Zhong. (2011). Muse. 216–225. 17 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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