Mingming Cui

702 citations
17 papers · 560 · 2 hit papers · h-index 9

Impact in

Papers in

Mingming Cui

17 papers receiving 549 citations

Mingming Cui's Hit Papers

A multimodal hybrid parallel network intrusion detection model 2023 · 110 citations
1100+1+2Years since publication4080120

Peers

Mingming Cui
Comparison fields: 5 of 96
  • Computer Networks and Communications 158
  • Modeling and Simulation 25
  • Artificial Intelligence 165
  • Information Systems 107
  • Statistical and Nonlinear Physics 50
Replace Genaro Ochoa with:
Genaro Ochoa Mexico
Muhammad Ubale Kiru Malaysia
Pitikhate Sooraksa Thailand
Gangquan Si China
Jian Sun China
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Citations per field
00.5×5×10×17×
Genaro Ochoa · 1×
Citations per year

Countries citing papers authored by Mingming Cui

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mingming Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingming Cui Line = papers co-authored together Mingming Cui links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
NAS-YOLOX: a SAR ship detection using neural architecture search and multi-scale attention
Hit paper breakdown →
2023121
2
A multimodal hybrid parallel network intrusion detection model
Hit paper breakdown →
2023110
3 201996
4 202068
5 202336
6 202134
7 202432
8 202220
9 202217
10 20209
11 20235
12 20234
13 20243
14 20232
15 20181
16 20231
17 20221

About Mingming Cui

Mingming Cui is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Ocean Engineering, having authored 17 papers that have together received 560 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers), Cloud Data Security Solutions (3 papers), Video Surveillance and Tracking Methods (3 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Computer Networks and Communications (158 citations), Modeling and Simulation (25 citations), Artificial Intelligence (165 citations), Information Systems (107 citations) and Statistical and Nonlinear Physics (50 citations). Mingming Cui has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Dezhi Han, Jun Wang, Chongqing Chen, Hao Wang, Kuan-Ching Li, Chin‐Chen Chang, Han Liu, Xiaohu Huang, Mohammad Shojafar and Zhengguo Sheng. Their work appears in journals such as Connection Science, IEEE Transactions on Vehicular Technology, Sensors, IEEE Internet of Things Journal and IEEE Transactions on Computational Social Systems.

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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