Meng Xu

1.2k citations
46 papers · 817 indexed · h-index 14
Topics
Video Coding and Compression Technologies (9 papers)EEG and Brain-Computer Interfaces (9 papers)Advanced Malware Detection Techniques (9 papers)

In The Last Decade

Meng Xu

44 papers receiving 792 citations

Peers

Meng Xu
Comparison fields: 5 of 72
  • Signal Processing 468
  • Software 231
  • Information Systems 221
  • Artificial Intelligence 220
  • Computer Vision and Pattern Recognition 167
Replace Federico Maggi with:
Federico Maggi Italy
Xin Qi United States
Ting Su China
Inmaculada Medina‐Bulo Spain
Steven Y. Ko United States
José M. de Fuentes Spain
Zhen Han China
Andrea Stocco Italy
Eli Tilevich United States
Meng Xu relative to Federico Maggi Italy Federico Maggi's profile →
Citations per field
00.5×1.5×2.2×
Federico Maggi · 1×
Citations per year

Countries citing papers authored by Meng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Xu. A scholar is included among the top collaborators of Meng Xu 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 Meng Xu. Meng Xu 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 0
2 1
3 1
4 1
5 2
6 28
7 20
8 1
9 12
10 8
11
Influence of government subsidies on agricultural firm’s R&D investment
1
12 40
13
QSYM: a practical concolic execution engine tailored for hybrid fuzzing
166
14 50
15
Bunshin: compositing security mechanisms through diversification
3
16
PlatPal: Detecting Malicious Documents with Platform Diversity
13
17 2
18 9
19 6
20 66

About Meng Xu

Meng Xu is a scholar working on Signal Processing, Software and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 817 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Software (231 citations), Signal Processing (468 citations) and Hardware and Architecture (76 citations). Meng Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Taesoo Kim, Zhan Ma, Yeongjin Jang, Sang-Ho Lee, Insu Yun, Yao Wang, Wenke Lee, Yen-Fu Ou, Kangjie Lu and Ruian Duan. Their work appears in journals such as Langmuir, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.

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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