Zhuangbin Chen

703 total citations · 1 hit paper
14 papers, 378 citations indexed

About

Zhuangbin Chen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zhuangbin Chen has authored 14 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Zhuangbin Chen's work include Software System Performance and Reliability (12 papers), Network Security and Intrusion Detection (6 papers) and Anomaly Detection Techniques and Applications (4 papers). Zhuangbin Chen is often cited by papers focused on Software System Performance and Reliability (12 papers), Network Security and Intrusion Detection (6 papers) and Anomaly Detection Techniques and Applications (4 papers). Zhuangbin Chen collaborates with scholars based in Hong Kong, China and United States. Zhuangbin Chen's co-authors include Michael R. Lyu, Shilin He, Pinjia He, Yuxin Su, Tianyi Yang, Irwin King, Zenglin Xu, Haoli Bai, Hongyu Zhang and Zhangwei Xu and has published in prestigious journals such as ACM Computing Surveys and ACM SIGOPS Operating Systems Review.

In The Last Decade

Zhuangbin Chen

14 papers receiving 371 citations

Hit Papers

A Survey on Automated Log Analysis for Reliability Engine... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuangbin Chen Hong Kong 8 281 200 166 88 17 14 378
Jingmin Xu China 8 317 1.1× 168 0.8× 140 0.8× 42 0.5× 19 1.1× 19 356
Hanzhang Wang United States 10 216 0.8× 117 0.6× 183 1.1× 41 0.5× 13 0.8× 20 299
Zhangwei Xu United States 11 328 1.2× 165 0.8× 208 1.3× 92 1.0× 18 1.1× 13 392
Ivo Krka United States 11 188 0.7× 159 0.8× 296 1.8× 148 1.7× 14 0.8× 22 358
Matthias Röhr Germany 9 171 0.6× 107 0.5× 163 1.0× 94 1.1× 9 0.5× 26 252
D. Ohsie United States 4 267 1.0× 120 0.6× 117 0.7× 54 0.6× 24 1.4× 7 295
Vandana Bhattacherjee India 9 86 0.3× 86 0.4× 184 1.1× 138 1.6× 19 1.1× 31 262
Ramendra K. Sahoo United States 7 328 1.2× 148 0.7× 115 0.7× 50 0.6× 14 0.8× 12 360
Yongmin Tan United States 9 317 1.1× 157 0.8× 174 1.0× 40 0.5× 30 1.8× 12 357

Countries citing papers authored by Zhuangbin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhuangbin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuangbin Chen

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

All Works

14 of 14 papers shown
1.
Chen, Zhuangbin, et al.. (2024). Tracemesh: Scalable and Streaming Sampling for Distributed Traces. 54–65. 3 indexed citations
2.
Sun, Xinying, Jinyang Liu, Yintong Huo, et al.. (2024). KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. 403–414. 2 indexed citations
3.
Liu, Jinyang, Yintong Huo, Jiazhen Gu, et al.. (2024). Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. 511–522. 3 indexed citations
4.
Liu, Jinyang, et al.. (2023). Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. 268–280. 6 indexed citations
5.
Liu, Jinyang, Shilin He, Zhuangbin Chen, et al.. (2023). Incident-aware Duplicate Ticket Aggregation for Cloud Systems. 2299–2311. 8 indexed citations
6.
Lee, Cheryl, Tianyi Yang, Zhuangbin Chen, Yuxin Su, & Michael R. Lyu. (2023). Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. 116–128. 4 indexed citations
7.
Liu, Jinyang, et al.. (2023). Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. 36–45. 6 indexed citations
8.
Li, Yichen, Xu Zhang, Shilin He, et al.. (2022). An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Operating Systems Review. 56(1). 1–7. 10 indexed citations
9.
Chen, Zhuangbin, Jinyang Liu, Yuxin Su, et al.. (2021). Graph-based Incident Aggregation for Large-Scale Online Service Systems. 430–442. 15 indexed citations
10.
He, Shilin, Pinjia He, Zhuangbin Chen, et al.. (2021). A Survey on Automated Log Analysis for Reliability Engineering. ACM Computing Surveys. 54(6). 1–37. 132 indexed citations breakdown →
11.
Chen, Zhuangbin, Yu Kang, Liqun Li, et al.. (2020). Towards intelligent incident management: why we need it and how we make it. 1487–1497. 65 indexed citations
12.
Xu, Hui, Zhuangbin Chen, Weibin Wu, et al.. (2019). NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. 44–47. 24 indexed citations
13.
He, Pinjia, Zhuangbin Chen, Shilin He, & Michael R. Lyu. (2018). Characterizing the natural language descriptions in software logging statements. 178–189. 65 indexed citations
14.
Bai, Haoli, Zhuangbin Chen, Michael R. Lyu, Irwin King, & Zenglin Xu. (2018). Neural Relational Topic Models for Scientific Article Analysis. 27–36. 35 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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