Yu Kang

1.3k total citations · 1 hit paper
44 papers, 822 citations indexed

About

Yu Kang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yu Kang has authored 44 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 21 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Yu Kang's work include Software System Performance and Reliability (25 papers), Network Security and Intrusion Detection (15 papers) and Software Engineering Research (8 papers). Yu Kang is often cited by papers focused on Software System Performance and Reliability (25 papers), Network Security and Intrusion Detection (15 papers) and Software Engineering Research (8 papers). Yu Kang collaborates with scholars based in China, United States and Hong Kong. Yu Kang's co-authors include Qingwei Lin, Michael R. Lyu, Dongmei Zhang, Hongyu Zhang, Yingnong Dang, Yangfan Zhou, Liqun Li, Zibin Zheng, Zhangwei Xu and Shilin He and has published in prestigious journals such as Gastroenterology, IEEE Transactions on Knowledge and Data Engineering and ACM SIGOPS Operating Systems Review.

In The Last Decade

Yu Kang

42 papers receiving 808 citations

Hit Papers

Automatic Root Cause Anal... 2024 2026 2024 10 20 30 40 50
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.

  1. Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
    2024 57 citations Minghua Ma, Yu Kang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Kang China 16 568 384 315 147 85 44 822
João W. Cangussu United States 13 255 0.4× 265 0.7× 156 0.5× 186 1.3× 26 0.3× 46 507
Chengying Mao China 14 217 0.4× 324 0.8× 142 0.5× 329 2.2× 17 0.2× 77 603
Robert J. Ellison United States 10 283 0.5× 381 1.0× 131 0.4× 104 0.7× 14 0.2× 29 575
S. Jeromy Carrière United States 8 219 0.4× 505 1.3× 384 1.2× 105 0.7× 40 0.5× 11 587
Nikos Anerousis United States 11 415 0.7× 353 0.9× 156 0.5× 26 0.2× 21 0.2× 44 620
Dianxiang Xu United States 10 270 0.5× 281 0.7× 265 0.8× 232 1.6× 14 0.2× 68 605
Timothy J. Shimeall United States 13 280 0.5× 401 1.0× 186 0.6× 249 1.7× 13 0.2× 24 671
Chaofeng Sha China 12 249 0.4× 231 0.6× 402 1.3× 36 0.2× 139 1.6× 39 648
Antonio Pecchia Italy 17 694 1.2× 317 0.8× 385 1.2× 155 1.1× 5 0.1× 62 821
Xiao He China 12 69 0.1× 149 0.4× 197 0.6× 101 0.7× 46 0.5× 58 408

Countries citing papers authored by Yu Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Kang

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

All Works

20 of 20 papers shown
1.
Zhang, Xing, Jian Wen, Fangkai Yang, et al.. (2025). Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. 18187–18198. 1 indexed citations
2.
Cui, Z.Y., Shilin He, Pinjia He, et al.. (2024). UniLog: Automatic Logging via LLM and In-Context Learning. 1–12. 27 indexed citations
3.
Ma, Minghua, Chaoyun Zhang, Si Qin, et al.. (2024). MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. 38–49. 9 indexed citations
4.
Bansal, Chetan, et al.. (2024). Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. 266–277. 16 indexed citations
5.
Zhang, Chaoyun, Shilin He, Minghua Ma, et al.. (2024). Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. 1–13. 12 indexed citations
6.
Li, Jianhui, Minghua Ma, Yu Kang, et al.. (2024). Large Language Models Can Provide Accurate and Interpretable Incident Triage. 523–534. 1 indexed citations
7.
He, Shilin, Liqun Li, Yu Kang, et al.. (2023). STEAM: Observability-Preserving Trace Sampling. 1750–1761. 6 indexed citations
8.
Zhang, Shenglin, Minghua Ma, Yu Kang, et al.. (2023). Assess and Summarize: Improve Outage Understanding with Large Language Models. 1657–1668. 21 indexed citations
9.
Li, Liqun, Xu Zhang, Shilin He, et al.. (2023). CONAN: Diagnosing Batch Failures for Cloud Systems. 138–149. 9 indexed citations
10.
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
11.
Li, Liqun, Shilin He, Hongyu Zhang, et al.. (2022). SPINE: a scalable log parser with feedback guidance. 1198–1208. 32 indexed citations
12.
He, Shilin, Xu Zhang, Pinjia He, et al.. (2022). An empirical study of log analysis at Microsoft. 1465–1476. 20 indexed citations
13.
14.
Chen, Yujun, Xian Yang, Xiaoting He, et al.. (2020). Identifying linked incidents in large-scale online service systems. 304–314. 25 indexed citations
15.
16.
Kang, Yu, et al.. (2018). Detecting Anomalous Users via Streaming Data Processing in Smart Grid. 14–20. 3 indexed citations
17.
Kang, Yu, Yangfan Zhou, Hui Xu, & Michael R. Lyu. (2016). DiagDroid: Android performance diagnosis via anatomizing asynchronous executions. 410–421. 21 indexed citations
18.
Xu, Hui, Yangfan Zhou, Cuiyun Gao, Yu Kang, & Michael R. Lyu. (2015). SpyAware: Investigating the privacy leakage signatures in app execution traces. 348–358. 11 indexed citations
19.
Kang, Yu, Zibin Zheng, & Michael R. Lyu. (2012). A Latency-Aware Co-deployment Mechanism for Cloud-Based Services. 25. 630–637. 12 indexed citations
20.
Zhu, Jieming, Yu Kang, Zibin Zheng, & Michael R. Lyu. (2012). WSP: A Network Coordinate Based Web Service Positioning Framework for Response Time Prediction. 90–97. 20 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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