Minghua Ma

1.5k citations
52 papers · 868 indexed · 1 hit paper · h-index 17
Topics
Software System Performance and Reliability (28 papers)Network Security and Intrusion Detection (19 papers)Anomaly Detection Techniques and Applications (17 papers)

In The Last Decade

Minghua Ma

47 papers receiving 851 citations

Hit Papers

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

Peers

Minghua Ma
Comparison fields: 5 of 75
  • Computer Networks and Communications 589
  • Artificial Intelligence 381
  • Information Systems 213
  • Signal Processing 123
  • Electrical and Electronic Engineering 92
Replace Ludger Fiege with:
Ludger Fiege Germany
Lubomir Bic United States
Miguel Castro United States
MingJian Tang Australia
Tu Peng China
Sandeep Kumar India
John Hale United States
Sebastian VanSyckel Germany
Lei Bu China
Minghua Ma relative to Ludger Fiege Germany Ludger Fiege's profile →
Citations per field
00.5×20×40×61.6×
Ludger Fiege · 1×
Citations per year

Countries citing papers authored by Minghua Ma

Since Specialization
Citations

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

Fields of papers citing papers by Minghua Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Minghua Ma. A scholar is included among the top collaborators of Minghua Ma 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 Minghua Ma. Minghua Ma 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 7
2 0
3 5
4 0
5 3
6 9
7 16
8 2
9 5
10 4
11 0
12 2
13 28
14 4
15 11
16 9
17 33
18 21
19 11
20 42

About Minghua Ma

Minghua Ma is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 52 papers that have together received 868 indexed citations. Recurring topics across this work include Software System Performance and Reliability (28 papers), Network Security and Intrusion Detection (19 papers) and Anomaly Detection Techniques and Applications (17 papers). The work is most often cited by research in Computer Networks and Communications (589 citations), Software (88 citations) and Artificial Intelligence (381 citations). Minghua Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dan Pei, Qingwei Lin, Dongmei Zhang, Shenglin Zhang, Yu Kang, Shilin He, Youjian Zhao, Thomas Moscibroda, Xin Huang and Chaoyun Zhang. Their work appears in journals such as Environmental Science and Pollution Research, Proceedings of the VLDB Endowment and IEEE Transactions on Services Computing.

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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