Yu Kang

1.3k citations
44 papers · 822 indexed · 1 hit paper · h-index 16
Topics
Software System Performance and Reliability (25 papers)Network Security and Intrusion Detection (15 papers)Software Engineering Research (8 papers)

In The Last Decade

Yu Kang

42 papers receiving 808 citations

Hit Papers

Automatic Root Cause Analysis via Large Language Models f...20242026202520241020304050

Peers

Yu Kang
Comparison fields: 5 of 59
  • Computer Networks and Communications 568
  • Information Systems 384
  • Artificial Intelligence 315
  • Software 147
  • Statistical and Nonlinear Physics 85
Replace Chengying Mao with:
Chengying Mao China
João W. Cangussu United States
S. Jeromy Carrière United States
Robert J. Ellison United States
Chaofeng Sha China
Dianxiang Xu United States
Timothy J. Shimeall United States
Ajay Mahimkar United States
Xiao He China
Nikos Anerousis United States
Yu Kang relative to Chengying Mao China Chengying Mao's profile →
Citations per field
00.5×5.6×
Chengying Mao · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 9
4 16
5 27
6 12
7 1
8 9
9 21
10 6
11 10
12 32
13 0
14 10
15 3
16 0
17 21
18 11
19 20
20 12

About Yu Kang

Yu Kang is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 44 papers that have together received 822 indexed citations. Recurring topics across this work include Software System Performance and Reliability (25 papers), Network Security and Intrusion Detection (15 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Software (147 citations), Computer Networks and Communications (568 citations) and Information Systems (384 citations). Yu Kang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Michael R. Lyu, Qingwei Lin, Dongmei Zhang, Hongyu Zhang, Yingnong Dang, Yangfan Zhou, Liqun Li, Zibin Zheng, Zhangwei Xu and Minghua Ma. Their work appears in journals such as Gastroenterology, IEEE Transactions on Knowledge and Data Engineering and ACM SIGOPS Operating Systems Review.

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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